Fundamentals of RMI
|
| Local Object | Remote Object | |
| Object Definition | A local object is defined by a Java class. | A remote object's exported behavior is defined by an interface that
must extend the Remote
interface. |
| Object Implementation | A local object is implemented by its Java class. | A remote object's behavior is executed by a Java class that implements the remote interface. |
| Object Creation | A new instance of a local object is created by the new
operator. |
A new instance of a remote object is created on the host computer
with the new operator. A client cannot directly create a new
remote object (unless using Java 2 Remote Object Activation). |
| Object Access | A local object is accessed directly via an object reference variable. | A remote object is accessed via an object reference variable which points to a proxy stub implementation of the remote interface. |
| References | In a single JVM, an object reference points directly at an object in the heap. | A "remote reference" is a pointer to a proxy object (a "stub") in the local heap. That stub contains information that allows it to connect to a remote object, which contains the implementation of the methods. |
| Active References | In a single JVM, an object is considered "alive" if there is at least one reference to it. | In a distributed environment, remote JVMs may crash, and network connections may be lost. A remote object is considered to have an active remote reference to it if it has been accessed within a certain time period (the lease period). If all remote references have been explicitly dropped, or if all remote references have expired leases, then a remote object is available for distributed garbage collection. |
| Finalization |
If an object implements the
final
ize() method, it is called before an object is reclaimed by the
garbage collector. |
If a remote object
implements the Unreferenced interface, the unreferenced method of that
interface is called when all remote references have been dropped. |
| Garbage Collection | When all local references to an object have been dropped, an object becomes a candidate for garbage collection. | The distributed garbage collector works with the local garbage collector. If there are no remote references and all local references to a remote object have been dropped, then it becomes a candidate for garbage collection through the normal means. |
| Exceptions | Exceptions are either Runtime exceptions or Exceptions. The Java compiler forces a program to handle all Exceptions. |
RMI forces programs to deal with any possible RemoteException objects that may be thrown.
This was done to ensure the robustness of distributed
applications. |
The design goal for the RMI architecture was to create a Java distributed object model that integrates naturally into the Java programming language and the local object model. RMI architects have succeeded; creating a system that extends the safety and robustness of the Java architecture to the distributed computing world.
The RMI architecture is based on one important principle: the definition of behavior and the implementation of that behavior are separate concepts. RMI allows the code that defines the behavior and the code that implements the behavior to remain separate and to run on separate JVMs.
This fits nicely with the needs of a distributed system where clients are concerned about the definition of a service and servers are focused on providing the service.
Specifically, in RMI, the definition of a remote service is coded using a Java interface.The implementation of the remote service is coded in a class.Therefore, the key to understanding RMI is to remember that interfaces define behavior and classes define implementation.
While the following diagram illustrates this separation,
remember that a Java interface does not contain executable code. RMI supports two classes that implement the same interface. The first class is the implementation of the behavior,and it runs on the server. The second class acts as a proxy for the remote service and it runs on the client.This is shown in the following diagram.
A client program makes method calls on theproxy object, RMI sends the request to the remote JVM, and forwards it to the implementation.Any return values provided by the implementation are sent backto the proxy and then to the client's program.
With an understanding of the high-level RMI architecture, take a look under the covers to see its implementation.
The RMI implementation is essentially built from three abstraction layers.The first is the Stub and Skeleton layer, which lies just beneath the view of the developer.This layer intercepts method calls made by the client to theinterface reference variable and redirects these calls to a remote RMI service.
The next layer is the Remote Reference Layer. This layer understands how to interpret and managereferences made from clients to the remote service objects. In JDK 1.1, this layer connects clients to remote service objects that are running and exported on a server. The connection is a one-to-one (unicast) link. In the Java 2 SDK, this layer was enhanced to support the activation of dormant remote service objects via Remote Object Activation.
The transport layer is based on TCP/IP connections between machines in a network. It provides basic connectivity, as well as some firewall penetration strategies.
By using a layered architecture each of the layers could be enhanced or replaced without affecting the rest of the system. For example, the transport layer could be replaced by a UDP/IP layer without affecting the upper layers.
The stub and skeleton layer of RMI lie just beneath the view of the Java developer. In this layer, RMI uses the Proxy design pattern as described in the book, Design Patterns by Gamma, Helm, Johnson and Vlissides. In the Proxy pattern, an object in one context is represented by another (the proxy) in a separate context. The proxy knows how to forward method calls between the participating objects. The following class diagram illustrates the Proxy pattern.
In RMI's use of the Proxy pattern,
the stub class plays the role of the proxy, and the
remote service implementation class
plays the role of the RealSubject.
A skeleton is a helper class that is generated for RMI to use. The skeleton understands how to communicate with the stub across the RMI link. The skeleton carries on a conversation with the stub; it readsthe parameters for the method call from the link, makes the call to the remote service implementation object, accepts the return value, and then writes the return value back to the stub.
In the Java 2 SDK implementation of RMI, the new wire protocol has made skeleton classes obsolete.RMI uses reflection to make the connection to the remote service object.You only have to worry about skeleton classes and objects inJDK 1.1 and JDK 1.1 compatible system implementations.
The Remote Reference Layers defines and supports
the invocation semantics of the RMIconnection.This layer provides a
RemoteRefobject that represents the link to the remote
service implementation object.
The stub objects use the invoke()
method in RemoteRef
to forward the method call.
The RemoteRef object understands the
invocation semantics for remote services.
The JDK 1.1 implementation of RMI provides only one way for clients to connect to remote service implementations: a unicast, point-to-point connection. Before a client can use a remote service, the remote service must be instantiated on the server and exported to the RMI system. (If it is the primary service, it must also be named and registered in the RMI Registry).
The Java 2 SDK implementation of RMI adds a new semantic for the client-server connection. In this version, RMI supports activatable remote objects. When a method call is made to the proxy for an activatable object, RMI determines if the remote service implementation object is dormant. If it is dormant, RMI will instantiate the object and restore its state from a disk file. Once an activatable object is in memory, it behaves just like JDK 1.1 remote service implementation objects.
Other types of connection semantics are possible. For example, with multicast, a single proxy could send a method request to multiple implementations simultaneously and accept the first reply (this improves response time and possibly improves availability). In the future, Sun may add additional invocation semantics to RMI.
The Transport Layer makes the connection between JVMs. All connections are stream-based network connectionsthat use TCP/IP.
Even if two JVMs are running on the same physical computer, they connect through their host computer's TCP/IP network protocol stack. (This is why you must have an operational TCP/IP configuration on your computer to run the Exercises in this course). The following diagram shows the unfettered use of TCP/IP connections between JVMs.
As you know, TCP/IP provides a persistent, stream-based connection
between two machines based on an IP address and port number
at each end.
Usually a DNS name is used instead of an IP address; this
means you could talk about a TCP/IP connection between
flicka.magelang.com:3452 and rosa.jguru.com:4432.
In the current release of RMI, TCP/IP connections are used as
the foundation for all machine-to-machine connections.
On top of TCP/IP, RMI uses a wire level protocol
called Java Remote Method Protocol (JRMP).
JRMP is a proprietary, stream-based protocol that is
only partially
specifiedis now in two versions.
The first version was released with the JDK 1.1 version of RMI
and required the use of Skeleton classes
on the server.
The second version was released with the Java 2 SDK.
It has been optimized for performance and does not require
skeleton classes.
(Note that some alternate implementations, such
as BEA Weblogic and NinjaRMI do not use JRMP, but instead
use their own wire level protocol.
ObjectSpace's Voyager does recognize JRMP and will interoperate
with RMI at the wire level.)
Sun and IBM have jointly worked on the next version of RMI, called RMI-IIOP, which will be available with Java 2 SDK Version 1.3. The interesting thing about RMI-IIOP is that instead of using JRMP, it will use the Object Management Group (OMG) Internet Inter-ORB Protocol, IIOP, to communicate between clients and servers.
The OMG is a group of more than 800 members that defines a vendor-neutral, distributed object architecture called Common Object Request Broker Architecture (CORBA). CORBA Object Request Broker (ORB) clients and servers communicate with each other using IIOP. With the adoption of the Objects-by-Value extension to CORBA and the Java Language to IDL Mapping proposal, the ground work was set for direct RMI to CORBA integration. This new RMI-IIOP implementation supports most of the RMI feature set, except for:
java.rmi.server.RMISocketFactory
UnicastRemoteObject
Unreferenced
The RMI transport layer is designed to make a connection between clients and server, even in the face of networking obstacles.
While the transport layer prefers to use multiple TCP/IP connections, some network configurations only allow a single TCP/IP connection between a client and server (some browsers restrict applets to a single network connection back to their hosting server).
In this case, the transport layer multiplexes multiple virtual connections within a single TCP/IP connection.
During the presentation of the RMI Architecture, one question has been repeatedly postponed: "How does a client find an RMI remote service?" Now you'll find the answer to that question. Clients find remote services by using a naming or directory service. This may seem like circular logic. How can a client locate a service by using a service? In fact, that is exactly the case. A naming or directory service is run on a well-known host and port number.
(Well-known meaning everyone in an organization knowing what it is).
RMI can use many different directory services, including
the Java Naming and Directory Interface (JNDI).
RMI itself includes a simple service called the RMI Registry,
rmiregistry.
The RMI Registry runs on each machine that hosts remote service
objects and accepts queries for services, by default on port 1099.
On a host machine, a server program creates a remote service by first creating a local object that implements that service. Next, it exports that object to RMI. When the object is exported, RMI creates a listening service that waits for clients to connect and request the service. After exporting, the server registers the object in the RMI Registry under a public name.
On the client side, the RMI Registry is accessed through
the static class
Naming
.
It provides the method
lookup()
that a client uses to query a registry.
The method lookup() accepts a URL
that specifies the server host name and the name
of the desired service.
The method returns a remote reference to the service object.
The URL takes the form:
rmi://<host_name>
[:<name_service_port>]
/<service_name>
where the host_name is a name
recognized on the local area network (LAN) or a DNS name
on the Internet.
The name_service_port only needs to be specified
only if the naming service is running on a different port
to the default 1099.
It is now time to build a working RMI system and get hands-on experience. In this section, you will build a simple remote calculator service and use it from a client program.
A working RMI system is composed of several parts.
To simplify things, you will use a single directory for the client and server code. By running the client and the server out of the same directory, you will not have to set up an HTTP or FTP server to provide the class files. (Details about how to use HTTP and FTP servers as class file providers will be covered in the section on Distributing and Installing RMI Software)
Assuming that the RMI system is already designed, you take the following steps to build a system:
The first step is to write and compile the Java code
for the service interface.
The Calculator interface defines all of the remote
features offered by the service:
public interface Calculator
extends java.rmi.Remote {
public long add(long a, long b)
throws java.rmi.RemoteException;
public long sub(long a, long b)
throws java.rmi.RemoteException;
public long mul(long a, long b)
throws java.rmi.RemoteException;
public long div(long a, long b)
throws java.rmi.RemoteException;
}
Notice this interface extends Remote,
and each method signature declares that it may
throw a RemoteException object.
Copy this file to your directory and compile it with the Java compiler:
>javac Calculator.java
Next, you write the implementation for the remote service.
This is the CalculatorImpl class:
public class CalculatorImpl
extends
java.rmi.server.UnicastRemoteObject
implements Calculator {
// Implementations must have an
//explicit constructor
// in order to declare the
//RemoteException exception
public CalculatorImpl()
throws java.rmi.RemoteException {
super();
}
public long add(long a, long b)
throws java.rmi.RemoteException {
return a + b;
}
public long sub(long a, long b)
throws java.rmi.RemoteException {
return a - b;
}
public long mul(long a, long b)
throws java.rmi.RemoteException {
return a * b;
}
public long div(long a, long b)
throws java.rmi.RemoteException {
return a / b;
}
}
Again, copy this code into your directory and compile it.
The implementation class uses
UnicastRemoteObject
to link into the RMI system.
In the example the implementation class directly extends
UnicastRemoteObject.
This is not a requirement.
A class that does not extend UnicastRemoteObject
may use its exportObject() method to be linked into RMI.
When a class extends UnicastRemoteObject, it must provide
a constructor that declares that it may throw a RemoteException
object.
When this constructor calls super(), it activates code
in UnicastRemoteObject that performs the RMI linking and
remote object initialization.
You next use the RMI compiler, rmic, to generate the stub
and skeleton files.
The compiler runs on the remote service implementation class file.
>rmic CalculatorImpl
Try this in your directory.
After you run rmic you should find the file
Calculator_Stub.class and, if you are running the Java 2 SDK,
Calculator_Skel.class.
Options for the JDK 1.1 version of the RMI compiler, rmic, are:
Usage: rmic <options> <class names>
where <options> includes:
-keep Do not delete intermediate
generated source files
-keepgenerated (same as "-keep")
-g Generate debugging info
-depend Recompile out-of-date
files recursively
-nowarn Generate no warnings
-verbose Output messages about
what the compiler is doing
-classpath <path> Specify where
to find input source
and class files
-d <directory> Specify where to
place generated class files
-J<runtime flag> Pass argument
to the java interpreter
The Java 2 platform version of rmic add three new options:
-v1.1 Create stubs/skeletons
for JDK 1.1 stub
protocol version
-vcompat (default)
Create stubs/skeletons compatible
with both JDK 1.1 and Java 2
stub protocol versions
-v1.2 Create stubs for Java 2 stub protocol
version only
Remote RMI services must be hosted in a server process.
The class CalculatorServer is a very simple server
that provides the bare essentials for hosting.
import java.rmi.Naming;
public class CalculatorServer {
public CalculatorServer() {
try {
Calculator c = new CalculatorImpl();
Naming.rebind("
rmi://localhost:1099/
CalculatorService", c);
} catch (Exception e) {
System.out.println("Trouble: " + e);
}
}
public static void main(String args[]) {
new CalculatorServer();
}
}
The source code for the client follows:
import java.rmi.Naming;
import java.rmi.RemoteException;
import java.net.MalformedURLException;
import java.rmi.NotBoundException;
public class CalculatorClient {
public static void main(String[] args) {
try {
Calculator c = (Calculator)
Naming.lookup(
"rmi://remotehost
/CalculatorService");
System.out.println( c.sub(4, 3) );
System.out.println( c.add(4, 5) );
System.out.println( c.mul(3, 6) );
System.out.println( c.div(9, 3) );
}
catch (MalformedURLException murle) {
System.out.println();
System.out.println(
"MalformedURLException");
System.out.println(murle);
}
catch (RemoteException re) {
System.out.println();
System.out.println(
"RemoteException");
System.out.println(re);
}
catch (NotBoundException nbe) {
System.out.println();
System.out.println(
"NotBoundException");
System.out.println(nbe);
}
catch (
java.lang.ArithmeticException
ae) {
System.out.println();
System.out.println(
"java.lang.ArithmeticException");
System.out.println(ae);
}
}
}
You are now ready to run the system! You need to start three consoles, one for the server, one for the client, and one for the RMIRegistry.
Start with the Registry. You must be in the directory that contains the classes you have written. From there, enter the following:
rmiregistry
If all goes well, the registry will start running and you can switch to the next console.
In the second console start the server hosting the
CalculatorService, and enter the following:
>java CalculatorServer
It will start, load the implementation into memory and wait for a client connection.
In the last console, start the client program.
>java CalculatorClient
If all goes well you will see the following output:
1 9 18 3
That's it; you have created a working RMI system. Even though you ran the three consoles on the same computer, RMI uses your network stack and TCP/IP to communicate between the three separate JVMs. This is a full-fledged RMI system.
You have seen that RMI supports method calls to remote objects. When these calls involve passing parameters or accepting a return value, how does RMI transfer these between JVMs? What semantics are used? Does RMI support pass-by-value or pass-by-reference? The answer depends on whether the parameters are primitive data types, objects, or remote objects.
First, review how parameters are passed in a single JVM. The normal semantics for Java technology is pass-by-value. When a parameter is passed to a method, the JVM makes a copy of the value, places the copy on the stack and then executes the method. When the code inside a method uses a parameter, it accesses its stack and uses the copy of the parameter. Values returned from methods are also copies.
When a primitive data type
(boolean, byte, short, int,
long, char, float, or
double)
is passed as a parameter to a method, the mechanics of
pass-by-value are straightforward.
The mechanics of passing an object as a parameter
are more complex.
Recall that an object resides in heap memory and is accessed
through one or more reference variables.
And, while the following code makes it look like an object is passed
to the method println()
String s = "Test"; System.out.println(s);
in the mechanics it is the reference variable that is
passed to the method.
In the example, a copy of reference
variable s is made (increasing the reference count to the
String object by one)
and is placed on the stack.
Inside the method, code uses the copy of the reference to
access the object.
Now you will see how RMI passes parameters and return values between remote JVMs.
When a primitive data type is passed as a parameter to a remote method, the RMI system passes it by value. RMI will make a copy of a primitive data type and send it to the remote method. If a method returns a primitive data type, it is also returned to the calling JVM by value.
Values are passed between JVMs in a standard, machine-independent format. This allows JVMs running on different platforms to communicate with each other reliably.
When an object is passed to a remote method, the semantics change from the case of the single JVM. RMI sends the object itself, not its reference, between JVMs. It is the object that is passed by value, not the reference to the object. Similarly, when a remote method returns an object, a copy of the whole object is returned to the calling program.
Unlike primitive data types, sending an object to a remote JVM is a nontrivial task. A Java object can be simple and self-contained, or it could refer to other Java objects in complex graph-like structure. Because different JVMs do not share heap memory, RMI must send the referenced object and all objects it references. (Passing large object graphs can use a lot of CPU time and network bandwidth.)
RMI uses a technology called Object Serialization to transform an object into a linear format that can then be sent over the network wire. Object serialization essentially flattens an object and any objects it references. Serialized objects can be de-serialized in the memory of the remote JVM and made ready for use by a Java program.
RMI introduces a third type of parameter to consider: remote objects.
As you have
seen,
a client program can obtain a reference to a
remote object through the RMI Registry program.
There is another way in which a client can obtain a remote reference,
it can be returned to the client from a method call.
In the following code, the BankManager service
getAccount() method is used to obtain
a remote reference to an Account remote service.
BankManager bm;
Account a;
try {
bm = (BankManager) Naming.lookup(
"rmi://BankServer
/BankManagerService"
);
a = bm.getAccount( "jGuru" );
// Code that uses the account
}
catch (RemoteException re) {
}
In the implementation of getAccount(), the method
returns a (local) reference to the remote service.
public Account
getAccount(String accountName) {
// Code to find the matching account
AccountImpl ai =
// return reference from search
return AccountImpl;
}
When a method returns a local reference to an exported remote object, RMI does not return that object. Instead, it substitutes another object (the remote proxy for that service) in the return stream.
The following diagram illustrates how RMI method calls might be used to:
Notice that when the AccountImpl object is returned
to Client A, the Account proxy object is substituted.
Subsequent method calls continue to send the reference first
to Client B and then back to Server.
During this process, the reference continues to refer to
one instance of the remote service.
It is particularly interesting to note that when the reference is returned to Server, it is not converted into a local reference to the implementation object. While this would result in a speed improvement, maintaining this indirection ensures that the semantics of using a remote reference is maintained.
In many architectures, a server may need to make a remote call to a client. Examples include progress feedback, time tick notifications, warnings of problems, etc.
To accomplish this, a client must also act as an RMI server.
There is nothing really special about this as RMI works equally well between all
computers. However, it may be impractical for a client to extend java.rmi.server.UnicastRemoteObject. In these cases, a
remote object may prepare itself for remote use by calling the static method
UnicastRemoteObject.exportObject (<remote_object>)
RMI adds support for a Distributed Class model to the Java platform and extends Java technology's reach to multiple JVMs. It should not be a surprise that installing an RMI system is more involved than setting up a Java runtime on a single computer. In this section, you will learn about the issues related to installing and distributing an RMI based system.
For the purposes of this section, it is assumed that the overall process of designing a DC system has led you to the point where you must consider the allocation of processing to nodes. And you are trying to determine how to install the system onto each node.
To run an RMI application, the supporting class files must be placed in locations that can be found by the server and the clients.
For the server, the following classes must be available to its class loader:
For the client, the following classes must be available to its class loader:
Once you know which files must be on the different nodes, it is a simple task to make sure they are available to each JVM's class loader.
The RMI designers extended the concept of class loading to include the loading of classes from FTP servers and HTTP servers. This is a powerful extension as it means that classes can be deployed in one, or only a few places, and all nodes in a RMI system will be able to get the proper class files to operate.
RMI supports this remote class loading through the
RMIClassLoader.
If a client or server is running an RMI system and it sees that it
must load a class from a remote location, it calls on the
RMIClassLoader to do this work.
The way RMI loads classes is controlled by a number of properties. These properties can be set when each JVM is run:
java [ -D<PropertyName>=<PropertyValue> ]+ <ClassFile>
The property
java.rmi.server.codebase
is used to specify a URL.
This URL points to a file:, ftp:, or
http:
location that supplies classes for objects that are sent from
this JVM.
If a program running in a JVM sends an object to another JVM (as
the return value from a method), that other JVM needs to load
the class file for that object.
When RMI sends the object via serialization of RMI embeds the URL
specified by this parameter into the stream, alongside of the
object.
Note: RMI does not send class files along with the serialized objects.
If the remote JVM needs to load a class file for an object, it looks for the embedded URL and contacts the server at that location for the file.
When the property
java.rmi.server.useCodebaseOnly
is set to true, then the JVM will load
classes from either a location specified by
the CLASSPATH environment variable
or the URL specified in this property.
By using different combinations of the available system properties, a number of different RMI system configurations can be created.
Closed.
All classes used by clients and the server must be
located on the JVM and referenced by the
CLASSPATH environment variable.
No dynamic class loading is supported.
Server based.
A client applet is loaded from the
server's CODEBASE along with all
supporting classes.
This is similar to the way applets are loaded
from the same HTTP server that supports the applet's web page.
Client dynamic.
The primary classes are loaded by referencing the CLASSPATH
environment variable of the JVM for the client.
Supporting classes
are loaded by the
java.rmi.server.RMIClassLoader
from an HTTP or FTP server on the network at a
location specified by the server.
Server-dynamic.
The primary classes are loaded by referencing the CLASSPATH
environment variable of the JVM for the server.
Supporting classes are loaded by the
java.rmi.server.RMIClassLoader
from an HTTP or FTP server
on the network at a location specified by the client.
Bootstrap client. In this configuration, all of the client code is loaded from an HTTP or FTP server across the network. The only code residing on the client machine is a small bootstrap loader.
Bootstrap server. In this configuration, all of the server code is loaded from an HTTP or FTP server located on the network. The only code residing on the server machine is a small bootstrap loader.
The exercise for this section involves creating a bootstrap client configuration. Please follow the directions carefully as different files need to be placed and compiled within separate directories.
Firewalls are inevitably encountered by any networked enterprise application that has to operate beyond the sheltering confines of an Intranet. Typically, firewalls block all network traffic, with the exception of those intended for certain "well-known" ports.
Since the RMI transport layer opens dynamic socket connections between the client and the server to facilitate communication, the JRMP traffic is typically blocked by most firewall implementations. But luckily, the RMI designers had anticipated this problem, and a solution is provided by the RMI transport layer itself. To get across firewalls, RMI makes use of HTTP tunneling by encapsulating the RMI calls within an HTTP POST request.
Now, examine how HTTP tunneling of RMI traffic works by taking a closer look at the possible scenarios: the RMI client, the server, or both can be operating from behind a firewall. The following diagram shows the scenario where an RMI client located behind a firewall communicates with an external server.
In the above scenario, when the transport layer tries to establish a connection with the server, it is blocked by the firewall. When this happens, the RMI transport layer automatically retries by encapsulating the JRMP call data within an HTTP POST request. The HTTP POST header for the call is in the form:
http://hostname:port
If a client is behind a firewall, it is important that you also
set the system property http.proxyHost appropriately.
Since almost all firewalls recognize the HTTP protocol, the specified proxy
server should be able to forward the call directly to the port on
which the remote server is listening on the outside. Once the
HTTP-encapsulated JRMP data is received at the server, it is
automatically decoded and dispatched by the RMI transport layer.
The reply is then sent back to client as HTTP-encapsulated data.
The following diagram shows the scenario when both the RMI client and server are behind firewalls, or when the client proxy server can forward data only to the well-known HTTP port 80 at the server.
In this case, the RMI transport layer uses one additional level of indirection! This is because the client can no longer send the HTTP-encapsulated JRMP calls to arbitrary ports as the server is also behind a firewall. Instead, the RMI transport layer places JRMP call inside the HTTP packets and send those packets to port 80 of the server. The HTTP POST header is now in the form
http://hostname:80/cgi-bin/java-rmi?forward=<port>
This causes the execution of the CGI script, java-rmi.cgi, which
in turn invokes a local JVM, unbundles the HTTP packet, and forwards
the call to the server process on the designated port. RMI JRMP-based
replies from the server are sent back as HTTP REPLY packets to
the originating client port where RMI again unbundles the information
and sends it to the appropriate RMI stub.
Of course, for this to work, the java-rmi.cgi script, which is
included within the standard JDK 1.1 or Java 2 platform distribution,
must be preconfigured with the path of the Java interpreter
and located within the web server's cgi-bin directory. It is also
equally important for the RMI server to specify the host's
fully-qualified domain name via a system property upon startup to
avoid any DNS resolution problems, as:
java.rmi.server.hostname=host.domain.com
Note: Rather than making use of CGI script for the call forwarding, it is more efficient to use a servlet implementation of the same. You should be able to obtain the servlet's source code from Sun's RMI FAQ.
It should be noted that notwithstanding the built-in mechanism for
overcoming firewalls, RMI suffers a significant performance
degradation imposed by HTTP tunneling.
There are other disadvantages to using HTTP tunneling too. For instance,
your RMI application will no longer be able to multiplex JRMP calls
on a single connection, since it would now follow a discrete request/response
protocol. Additionally, using the java-rmi.cgi script exposes a
fairly
large security loophole on your server machine, as now, the script
can redirect any incoming request to any port, completely bypassing your
firewalling mechanism. Developers should also note that using HTTP
tunneling precludes RMI applications from using callbacks, which
in itself could be a major design constraint. Consequently, if a
client detects a firewall, it can always disable the default HTTP
tunneling feature by setting the property:
java.rmi.server.disableHttp=true
One of the joys of programming for the Java platform is not worrying about memory allocation. The JVM has an automatic garbage collector that will reclaim the memory from any object that has been discarded by the running program.
One of the design objectives for RMI was seamless integration into the Java programming language, which includes garbage collection. Designing an efficient single-machine garbage collector is hard; designing a distributed garbage collector is very hard.
The RMI system provides a reference counting distributed garbage collection algorithm based on Modula-3's Network Objects. This system works by having the server keep track of which clients have requested access to remote objects running on the server. When a reference is made, the server marks the object as "dirty" and when a client drops the reference, it is marked as being "clean."
The interface to the DGC (distributed garbage collector) is hidden in
the stubs and skeletons layer. However, a remote object can implement the
java.rmi.server.Unreferenced interface and get a notification
via the unreferenced method when there are no longer any
clients holding a live reference.
In addition to the reference counting
mechanism, a live client reference has a lease with a specified time. If a
client does not refresh the connection to the remote object before the lease
term expires, the reference is considered to be dead and the remote object may
be garbage collected. The lease time is controlled by the system property
java.rmi.dgc.leaseValue. The value is in milliseconds and defaults
to 10 minutes.
Because of these garbage collection semantics, a client must be prepared to deal with remote objects that have "disappeared."
In the following exercise, you will have the opportunity to experiment with the distributed garbage collector.
When designing a system using RMI, there are times when you would like to have the flexibility to control where a remote object runs. Today, when a remote object is brought to life on a particular JVM, it will remain on that JVM. You cannot "send" the remote object to another machine for execution at a new location. RMI makes it difficult to have the option of running a service locally or remotely.
The very reason RMI makes it easy to build some
distributed application can make it difficult to move objects between JVMs.
When you declare that an object implements the java.r
mi.Remote interface, RMI will prevent it from being serialized and
sent between JVMs as a parameter. Instead of sending the implementation class
for a java.r
mi.Remote interface, RMI substitutes the stub class. Because this
substitution occurs in the RMI internal code, one cannot intercept this
operation.
There are two different ways to solve this problem.
The first involves manually serializing the remote object and sending it to the
other JVM. To do this, there are two strategies. The first strategy is to
create an ObjectInputStream and ObjectOutputStream
connection between the two JVMs. With this, you can explicitly write the remote
object to the stream. The second way is to serialize the object into a
byte array and send the byte array as the return value
to an RMI method call. Both of these techniques require that you code at a
level below RMI and this can lead to extra coding and maintenance
complications.
In a second strategy, you can use a delegation pattern. In this pattern, you place the core functionality into a class that:
java.r
mi.Remote
j
ava.io.Serializable
Then you build a remote interface that declares remote access to the functionality. When you create an implementation of the remote interface, instead of reimplementing the functionality, you allow the remote implementation to defer, or delegate, to an instance of the local version.
Now look at the building blocks of this pattern. Note that this is a very simple example. A real-world example would have a significant number of local fields and methods.
// Place functionality in a local object
public class LocalModel
implements java.io.Serializable
{
public String getVersionNumber()
{
return "Version 1.0";
}
}
Next, you declare an java.r
mi.Remote interface that defines the same functionality:
interface RemoteModelRef
extends java.rmi.Remote
{
String getVersionNumber()
throws java.rmi.RemoteException;
}
The implementation of the remote service accepts a reference to the
LocalModel and delegates the real work to that object:
public class RemoteModelImpl
extends
java.rmi.server.UnicastRemoteObject
implements RemoteModelRef
{
LocalModel lm;
public RemoteModelImpl (LocalModel lm)
throws java.rmi.RemoteException
{
super();
this.lm = lm;
}
// Delegate to the local
//model implementation
public String getVersionNumber()
throws java.rmi.RemoteException
{
return lm.getVersionNumber();
}
}
Finally, you define a remote service that provides access to clients. This
is done with a java.r
mi.Remote interface and an implementation:
interface RemoteModelMgr extends java.rmi.Remote
{
RemoteModelRef getRemoteModelRef()
throws java.rmi.RemoteException;
LocalModel getLocalModel()
throws java.rmi.RemoteException;
}
public class RemoteModelMgrImpl
extends
java.rmi.server.UnicastRemoteObject
implements RemoteModelMgr
{
LocalModel lm;
RemoteModelImpl rmImpl;
public RemoteModelMgrImpl()
throws java.rmi.RemoteException
{
super();
}
public RemoteModelRef getRemoteModelRef()
throws java.rmi.RemoteException
{
// Lazy instantiation of delgatee
if (null == lm)
{
lm = new LocalModel();
}
// Lazy instantiation of
//Remote Interface Wrapper
if (null == rmImpl)
{
rmImpl = new RemoteModelImpl (lm);
}
return ((RemoteModelRef) rmImpl);
}
public LocalModel getLocalModel()
throws java.rmi.RemoteException
{
// Return a reference to the
//same LocalModel
// that exists as the delagetee
//of the RMI remote
// object wrapper
// Lazy instantiation of delgatee
if (null == lm)
{
lm = new LocalModel();
}
return lm;
}
}
The solution to the mobile computing agent using RMI is, at best, a work-around. Other distributed Java architectures have been designed to address this issue and others. These are collectively called mobile agent architectures. Some examples are IBM's Aglets Architecture and ObjectSpace's Voyager System. These systems are specifically designed to allow and support the movement of Java objects between JVMs, carrying their data along with their execution instructions.
This module has covered the RMI architecture and Sun's implementation. There are other implementations available, including:
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Exercises
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1 As used on this web site, the terms "Java
virtual machine" or "JVM" mean a virtual machine for the Java
platform.