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EEC-681/781 Distributed Computing Systems Lecture 5 Wenbing Zhao Department of Electrical and Computer Engineering Cleveland State University [email protected] 2 Outline • Remote Procedure Call • Remote Method Invocation • Case study: Java RMI – Material taken from http://java.sun.com/developer/onlineTraining/rmi/RMI.html Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 3 Conventional Procedure Call count = read(fd, buf, bytes); Parameter passing in a local procedure call: the stack before the call to read() Fall Semester 2006 The stack while the called procedure is active EEC-681: Distributed Computing Systems Wenbing Zhao 4 Parameter Passing in Procedure Call • Passing by value • Passing by reference 0x01400000 buffer fd = 10; bytes = 1024; buf = 0x01400000; count = read(fd, buf, bytes); Fall Semester 2006 EEC-681: Distributed Computing Systems Read() fd = 10; bytes = 1024; buf = 0x01400000; Wenbing Zhao 5 Remote Procedure Call • Observations: – Application developers are familiar with simple procedure model – Well-engineered procedures operate in isolation (black box) – There is no fundamental reason not to execute procedures on separate machine • Conclusion: communication between caller & callee can be hidden by using procedure-call mechanism Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 6 Client and Server Stubs • Remote Procedure Call (RPC) achieves distribution transparency by using a client stub and a server stub • The client stub provides the interface of the procedure call => illusion of a local call interface – It packs the parameters into a message and requests that message be sent to the server • The server stub is a piece of code that transforms requests coming in over the network into local procedure calls Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 7 RPC between Client and Server Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 8 Steps of Remote Procedure Call Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao Parameter Passing for RPC • Marshaling: must convert the parameters into a message • Marshaling is not trivial: – Client and server machines may have different data representations (think of byte ordering) – Wrapping a parameter means transforming a value into a sequence of bytes – Client and server have to agree on the same encoding – Client and server need to properly interpret messages, transforming them into machine-dependent representations Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 9 10 Passing Value Parameters Original message on the Pentium Fall Semester 2006 The message after The message after being receipt on the SPARC inverted. The little numbers in boxes indicate the address of each byte EEC-681: Distributed Computing Systems Wenbing Zhao 11 Parameter Passing A procedure Fall Semester 2006 The corresponding message EEC-681: Distributed Computing Systems Wenbing Zhao 12 External Data Representation • Data structures: – “flattened” on transmission – rebuilt upon reception • Primitive data types: – Byte order (big-endian: MSB comes first) – ASCII vs UNICODE (2 bytes per character) – Marshalling/unmarshalling • To/from agreed external format Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 13 External Data Representation • XDR (RFC 1832), CDR (CORBA), Java: – data -> byte stream – object references • HTTP/MIME: – data -> ASCII text Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 14 CORBA CDR Example index in sequence of bytes 0–3 4–7 8–11 12–15 16–19 20-23 24–27 4 bytes notes on representation 5 length of string "Smit" "h___" ‘Smith’ 6 "Lond" length of string "on__" 1934 ‘London’ unsigned long The flattened form represents a Person struct with value: {‘Smith’, ‘London’, 1934} Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 15 Interface Definition Language • In order to allow servers to be accessed by differing clients, Interface Definition Language (IDL) is usually used to allow various platforms to call the RPC – The first popular implementation of RPC on Unix was Sun's RPC, which was used as the basis for NFS • From IDL, client and server stubs can be generated automatically to facilitate development Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 16 Parameter Passing • While passing value parameters is relatively straightforward, passing reference parameters is difficult • If we introduce a remote reference mechanism, access transparency can be enhanced: – Remote reference offers unified access to remote data – Remote references can be passed as parameter in RPCs Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 17 Asynchronous RPC The interconnection between client and server in a traditional RPC Fall Semester 2006 The interaction using asynchronous RPC EEC-681: Distributed Computing Systems Wenbing Zhao 18 Asynchronous RPC A client and server interacting through two asynchronous RPCs. This scheme is also called deferred synchronous RPC Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 19 Remote Distributed Objects • Data and operations encapsulated in an object • Operations are implemented as methods, and are accessible through interfaces • Object offers only its interface to clients • Object server (or host server) is responsible for a collection of objects • Server skeleton handles (un)marshaling and object invocation • Client stub (proxy) implements interface Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 20 Distributed Objects Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao Client-to-Object Binding • Object reference: denotes server, object, and communication protocol. Having an object reference allows a client to bind to an object: – Client loads associated stub code – Stub is instantiated and initialized for specific object • Two ways of binding: – Implicit: Invoke methods directly on the referenced object – Explicit: Client must first explicitly bind to object before invoking it Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 21 22 Remote Method Invocation Steps • • • • Client invokes method at stub Stub marshals request and sends it to server Server ensures referenced object is active Request is unmarshaled by object’s skeleton, and referenced method is invoked • Result is marshaled and passed back to client • Client stub unmarshals reply and passes result to client application Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 23 RMI: Parameter Passing • Passing objects by value: A client may pass a complete object as parameter value: – An object has to be marshaled: • Marshall its state • Marshall its methods, or give a reference to where an implementation can be found – Server unmarshals object. Note that we have now created a copy of the original object Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 24 RMI: Parameter Passing • Passing objects by reference: Much easier than in the case of RPC: – One can simply bind to referenced object, and invoke methods – Unbind when referenced object is no longer needed Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 25 Parameter Passing • Passing an object by reference or by value Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 26 Java RMI Architecture • Design goal: to create a Java distributed object model that integrates naturally into the Java programming language and the local object model • The definition of a remote service is coded using a Java interface • The implementation of the remote service is coded in a class • Interfaces define behavior and classes define implementation Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 27 Java RMI Architecture Layers • Stub and Skeleton layer: intercepts method calls made by the client to the interface and redirects these calls to a remote RMI service • Remote reference layer: to interpret and manage references made from clients to the remote service objects • Transport layer: provides basic connectivity, as well as some firewall penetration strategies RMI System Client Program Server Program Stubs & Skeletons Stubs & Skeletons Remote Reference Layer Remote Reference Layer Transport Layer Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 28 Stub and Skeleton Layer • Java RMI follows the Proxy pattern – The stub class plays the role of the proxy – The remote service implementation class plays the role of the RealSubject <<Interface>> Subject Request() RealSubject Proxy Request() Request() Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 29 Remote Reference Layer • Defines and supports the invocation semantics of the RMI connection – This layer provides a RemoteRef object 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 Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 30 Transport Layer • The Transport Layer makes network connection between JVMs • Java Remote Method Protocol (JRMP): Java RMI’s wire protocol (proprietary) on top of TCP/IP Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 31 RMI Registry • RMI Registry (rmiregistry): a simple naming service that comes with Java RMI – It runs on each machine that hosts remote service objects, by default on port 1099 – It accepts registration request only from the local RMI servers – It accepts queries for services anywhere Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 32 RMI Registry • To access the remote server from client side: – Query a registry by invoking the lookup()method on the static Naming class – The method lookup()accepts a URL that specifies the server host name and the name of the desired service • rmi://<host_name>[:<name_service_port>]/<service_name> – The method returns a remote reference to the service object Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 33 Steps to Create a Remote Service • First create a local object that implements that service • Next, export that object to Java RMI. When the object is exported, Java RMI creates a listening service that waits for clients to connect and request the service • After exporting, register the object in the Java RMI Registry under a public name Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 34 Using Java RMI • A working Java RMI system is composed of several parts: – – – – – Interface definitions for the remote services Implementations of the remote services Stub and Skeleton files A server to host the remote services An RMI Naming service that allows clients to find the remote services – A class file provider (an HTTP or FTP server) – A client program that needs the remote services Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 35 Steps to Build a System • Design your system • Write and compile Java code for interfaces • Write and compile Java code for implementation classes • Generate Stub and Skeleton class files from the implementation classes • Write Java code for a remote service host program • Develop Java code for Java RMI client program • Install and run Java RMI system Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 36 Service Interface 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; } To compile it: > javac Calculator.java Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 37 Implementation of Remote Service 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; } … Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 38 Stubs and Skeletons • To generate the stub and skeleton files, invoke the RMI compiler, rmic • The compiler runs on the remote service implementation class file > rmic CalculatorImpl • After you run rmic you should find the file CalculatorImpl_Stub.class Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 39 Host Server • Remote RMI services must be hosted in a server process 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(); } } Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 40 Client 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://localhost/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) ); } … Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 41 Running the RMI System • Make sure you change to the directory that contains the classes you have written • Launch a terminal, start Java RMI registry > rmiregistry • Launch another terminal, start the server > java CalculatorServer • Launch the 3rd terminal, start the client > java CalculatorClient Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 42 Parameter Passing in Java RMI • When Java RMI 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-byreference? Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 43 Parameter Passing in Java RMI • Primitive parameters: pass by value – For both input parameter and return type, Java RMI makes a copy of a primitive data type and send it to the destination • Object parameters: pass by value – The object to be passed, together with all the objects it references, are serialized and copied over Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 44 Parameter Passing in Java RMI • Remote object parameters: pass by reference – A client can obtain a reference to a remote object through the Java RMI Registry program – A client can obtain a remote reference as a result of making a remote method call Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao Distributed Garbage Collection in Java RMI • Java takes care of memory management • Distributed garbage collection is needed in Java RMI – Many challenges to do so. Most prominent problem is that a client might quit without notice – Solution: lease based. The resource is granted to a client for certain period of time. It is the client’s responsibility to renew the lease. The resource is reclaimed if lease is not renewed Fall Semester 2006 EEC-681: Distributed Computing Systems Wenbing Zhao 45