The document discusses Java Remote Method Invocation (RMI) which allows Java programs running on one computer to invoke methods on Java objects residing on other computers. RMI uses stub and skeleton patterns to transparently handle remote method calls similarly to local method calls. It also describes the three independent layers of RMI - the stub-skeleton layer, remote reference layer, and transport layer which handle different aspects of remote communication.
This document provides an overview of distributed objects and remote invocation. It discusses RPC/RMI models and implementation issues like parameter passing semantics and invocation semantics. It also covers stateless/stateful servers, server creation semantics, SunRPC, and Java RMI. SunRPC is described in more detail including interface definition, client and server code examples. Java RMI is compared to SunRPC and its mechanism involving proxies, skeletons, and the RMI registry is outlined.
Remote Method Invocation (RMI) allows Java objects to invoke methods on remote Java objects located on other hosts or machines. RMI uses stubs and skeletons as proxies to make remote calls appear local. The stubs act as local representatives for remote objects, while skeletons on the remote host receive the calls and forward them to the actual remote objects. RMI handles object serialization and deserialization to transfer objects between clients and servers.
Remote Method Invocation (RMI) allows programmers to execute remote functions and calls using the same semantics as local function calls. RMI uses stubs and skeletons, where the stub acts as a proxy for the remote object on the client side and the skeleton receives the calls on the server side. To use RMI, an interface must be defined and implemented on the server, stub and skeleton classes are generated, the remote object is registered with an RMI registry, and then clients can look up and invoke methods on the remote object.
RMI allows objects to reside on remote JVMs and have their methods invoked remotely similar to local method calls. It handles marshalling parameters and return values between client and server. To develop an RMI application, an interface defining remote methods is created. A server class implements this interface and registers remote objects with an RMI registry. Clients lookup remote objects from the registry and invoke methods like local object calls. This provides location transparency between remote interfaces and their implementations.
Blocks allow passing code as a parameter or return value from functions. They capture the context in which they are defined. Grand Central Dispatch (GCD) simplifies concurrent programming using dispatch queues, which can execute blocks asynchronously or synchronously, and dispatch sources which attach blocks to system events. Dispatch groups and semaphores help coordinate work across dispatch queues.
The document discusses various techniques for improving Java application performance, including:
1. Using tools like JVisualVM and JConsole to analyze performance bottlenecks and determine where to focus optimization efforts.
2. Customizing the Java runtime environment through JVM options and garbage collection settings.
3. Following programming tips like using object scopes and final modifiers efficiently, choosing appropriate collection types, leveraging concurrency constructs properly.
4. Reading further on techniques involving Java I/O, NIO, locks, and lock-free programming.
The document discusses using asynchronous remote invocations for distributed real-time Java applications. It proposes four asynchronous models - fire-and-forget, sync-with-server, result-callback, and poll-object - that offer performance advantages over the default synchronous model. Empirical results show asynchronous approaches reduce response time, memory usage, and bandwidth compared to synchronous remote invocations.
The document discusses C++ interview questions and answers related to classes, inheritance, pointers, references, and operator overloading. It provides code examples to demonstrate concepts like passing objects by value vs reference, virtual functions, and inheritance. The examples are tested on Turbo C++, Microsoft VC++ compilers under Windows environment on x86 systems.
This document provides an overview of distributed objects and remote invocation. It discusses RPC/RMI models and implementation issues like parameter passing semantics and invocation semantics. It also covers stateless/stateful servers, server creation semantics, SunRPC, and Java RMI. SunRPC is described in more detail including interface definition, client and server code examples. Java RMI is compared to SunRPC and its mechanism involving proxies, skeletons, and the RMI registry is outlined.
Remote Method Invocation (RMI) allows Java objects to invoke methods on remote Java objects located on other hosts or machines. RMI uses stubs and skeletons as proxies to make remote calls appear local. The stubs act as local representatives for remote objects, while skeletons on the remote host receive the calls and forward them to the actual remote objects. RMI handles object serialization and deserialization to transfer objects between clients and servers.
Remote Method Invocation (RMI) allows programmers to execute remote functions and calls using the same semantics as local function calls. RMI uses stubs and skeletons, where the stub acts as a proxy for the remote object on the client side and the skeleton receives the calls on the server side. To use RMI, an interface must be defined and implemented on the server, stub and skeleton classes are generated, the remote object is registered with an RMI registry, and then clients can look up and invoke methods on the remote object.
RMI allows objects to reside on remote JVMs and have their methods invoked remotely similar to local method calls. It handles marshalling parameters and return values between client and server. To develop an RMI application, an interface defining remote methods is created. A server class implements this interface and registers remote objects with an RMI registry. Clients lookup remote objects from the registry and invoke methods like local object calls. This provides location transparency between remote interfaces and their implementations.
Blocks allow passing code as a parameter or return value from functions. They capture the context in which they are defined. Grand Central Dispatch (GCD) simplifies concurrent programming using dispatch queues, which can execute blocks asynchronously or synchronously, and dispatch sources which attach blocks to system events. Dispatch groups and semaphores help coordinate work across dispatch queues.
The document discusses various techniques for improving Java application performance, including:
1. Using tools like JVisualVM and JConsole to analyze performance bottlenecks and determine where to focus optimization efforts.
2. Customizing the Java runtime environment through JVM options and garbage collection settings.
3. Following programming tips like using object scopes and final modifiers efficiently, choosing appropriate collection types, leveraging concurrency constructs properly.
4. Reading further on techniques involving Java I/O, NIO, locks, and lock-free programming.
The document discusses using asynchronous remote invocations for distributed real-time Java applications. It proposes four asynchronous models - fire-and-forget, sync-with-server, result-callback, and poll-object - that offer performance advantages over the default synchronous model. Empirical results show asynchronous approaches reduce response time, memory usage, and bandwidth compared to synchronous remote invocations.
The document discusses C++ interview questions and answers related to classes, inheritance, pointers, references, and operator overloading. It provides code examples to demonstrate concepts like passing objects by value vs reference, virtual functions, and inheritance. The examples are tested on Turbo C++, Microsoft VC++ compilers under Windows environment on x86 systems.
This document proposes a new type of region called AGCMemory for the Real-Time Specification for Java (RTSJ) to improve portability while maintaining predictability. AGCMemory reduces the "floating garbage" problem seen in RTSJ regions by automatically recycling objects created during method invocations. It uses constant-time barriers and internal data structures to track object allocations and support partial deallocation in a way that is more intuitive than nested scopes. The authors evaluate AGCMemory and discuss implementing it in an RTSJ virtual machine and evaluating its performance trade-offs.
Network programming in java - PPT with Easy Programs and examples of Java InetAddress Class and java socket programming example.
Learn more @ http://java2all.com/technology/network-programming
Objective-C began as an extension of C created by Brad Cox and Tom Love to make C more object-oriented like Smalltalk. It was later acquired and further developed by NeXT and then Apple. Objective-C adds object-oriented capabilities and messaging to C by allowing classes and methods. It uses dynamic typing where actions can be taken at runtime. Objective-C became widely used with Apple's development of Cocoa and Cocoa Touch frameworks, which use Objective-C for building iOS and macOS applications in an object-oriented way.
The document discusses Remote Method Invocation (RMI) in Java, including its architectural components like remote interfaces, stubs, and skeletons; how objects are serialized and classes dynamically loaded during remote calls; and how to configure the RMI codebase property to specify locations for downloading classes.
The document provides information about C++ aptitude and object-oriented programming (OOP) concepts. It contains sample C++ code snippets and questions with explanations to test understanding of topics like classes, inheritance, polymorphism, operator overloading, templates, and more.
Clojure is a Lisp dialect designed for the Java Virtual Machine that focuses on functional programming and concurrency. It allows easy interoperability with Java code and provides persistent data structures and software transactional memory for writing concurrent programs that avoid deadlocks. The document provides an overview of Clojure's syntax, data structures, higher-order functions, Java interoperability features, and approach to concurrency through immutable objects and managed references.
Java- Datagram Socket class & Datagram Packet classRuchi Maurya
Java DatagramSocket and DatagramPacket
Java DatagramSocket and DatagramPacket classes are used for connection-less socket programming.
________________________________________
Java DatagramSocket class
Java DatagramSocket class represents a connection-less socket for sending and receiving datagram packets.
A datagram is basically an information but there is no guarantee of its content, arrival or arrival time.
Commonly used Constructors of DatagramSocket class
o DatagramSocket() throws SocketEeption: it creates a datagram socket and binds it with the available Port Number on the localhost machine.
o DatagramSocket(int port) throws SocketEeption: it creates a datagram socket and binds it with the given Port Number.
o DatagramSocket(int port, InetAddress address) throws SocketEeption: it creates a datagram socket and binds it with the specified port number and host address.
________________________________________
Java DatagramPacket class
Java DatagramPacket is a message that can be sent or received. If you send multiple packet, it may arrive in any order. Additionally, packet delivery is not guaranteed.
Commonly used Constructors of DatagramPacket class
o DatagramPacket(byte[] barr, int length): it creates a datagram packet. This constructor is used to receive the packets.
o DatagramPacket(byte[] barr, int length, InetAddress address, int port): it creates a datagram packet. This constructor is used to send the packets.
This document provides tips and strategies for optimizing Java application performance through software tuning techniques. It discusses identifying and addressing bottlenecks, avoiding unnecessary object creation, using string pooling and interned strings efficiently, leveraging profilers to analyze performance issues, and optimizing loops and exception handling. The key strategies outlined are to reduce object creation, reuse objects when possible, compare strings effectively, and eliminate unnecessary method calls in loops.
The document summarizes the Deuce software transactional memory (STM) framework for Java. Deuce allows developers to add concurrency to Java applications using atomic blocks without changing code or using reserved keywords. It works by dynamically instrumenting bytecode to enable software transactions over shared fields. Benchmarks show it scales well on multi-core systems compared to other STM approaches like TL2 and LSA that require more intrusive changes.
This document proposes a No Heap model for remote objects in distributed real-time Java systems. The model avoids garbage collection by containing objects within scoped memory areas. Remote objects have a creation context in immortal memory and invocation contexts in local temporary memory areas. This allows safe nesting of contexts by forbidding references from creation to invocation contexts while allowing references the other way. The model is compared to traditional garbage collected remote objects, showing it uses less time as it avoids garbage collection overhead.
Blocks is a cool concept and is very much needed for performance improvements and responsiveness. GCD helps run blocks effortlessly by scheduling on a desired queue, priority and lots more.
This document provides an overview of computer vision techniques including:
1. Using pre-trained CNN models for tasks like classification and object detection. Popular models discussed include AlexNet, VGG, ResNet, YOLO, and DenseNet.
2. Basic CNN operations like convolution, pooling, dropout, and normalization. Feature extraction using CNNs and techniques like transfer learning and fine-tuning pretrained models.
3. Additional computer vision tasks covered include object detection using Haar cascades, stereo vision, pattern detection, and reconstructing images from CNN features. Frameworks like PyTorch and libraries like TensorFlow are also mentioned.
Network vs. Code Metrics to Predict Defects: A Replication StudyKim Herzig
The document discusses a replication study of a previous work that found network metrics outperformed code metrics in defect prediction models. The replication study makes several contributions: it uses random sampling on the same release like the original, predicts defects across different releases of the same project, and predicts defects across different projects. It collects both code and network metrics using various tools and from various levels of granularity, with some differences from the original study such as language and projects used.
This document discusses metaprogramming in JavaScript using ES6 features like proxies. It provides an example of using a proxy to create a domain-specific language that allows chaining method calls like "to(3).double.pow.get", which returns 36. It explains how the proxy intercepts property access and method calls to push functions into a pipeline and execute them on a value. This demonstrates how proxies enable powerful metaprogramming that allows programs to manipulate other programs and representations.
Deadlocks occur when threads mutually block each other by holding resources the other needs. An example program demonstrates deadlock by having two threads call synchronized methods on separate objects that each pause briefly before calling a method on the other object. To avoid deadlock, resources should be requested in the same order by all threads or code within synchronized blocks should not halt thread execution.
Erlang Message Passing Concurrency, For The Winl xf
Erlang is a language and runtime designed for scalable and distributed systems. It uses message passing for concurrency between processes rather than shared memory. Processes in Erlang are very lightweight and can communicate asynchronously. Erlang supports features like hot code upgrading, distributed programming, and has built-in support for building fault-tolerant systems through its Open Telecom Platform (OTP) libraries. Popular applications and platforms built with Erlang include WhatsApp, RabbitMQ, and ejabberd due to its ability to handle high volumes of concurrent connections and messages.
The document discusses the internal architecture and execution of the Java Virtual Machine (JVM). It describes how the JVM loads and executes Java bytecode, manages memory areas like the heap and method area, and allows for multithreaded execution through individual call stacks and synchronization between threads. Key components of the JVM include the class loader subsystem, execution engine, runtime data areas, Java stacks, and program counters for each thread.
The document discusses socket programming and provides an overview of client-server applications using sockets. It describes how sockets allow for interprocess communication using the client-server model. The key steps for creating TCP and UDP client and server applications in both C and Java programming languages are outlined, including how to create sockets, bind sockets, connect sockets, send and receive data. Code examples of a TCP client and server application written in C are also provided.
JNA allows Java code to call native C/C++ libraries by mapping native functions and data structures to Java. It uses libffi to invoke native functions from Java. While easier than JNI, JNA still requires understanding native code and careful mapping of data types and memory management to avoid issues like memory corruption. JNA is generally suitable when no pure Java solution exists and native functionality is needed, but precision is required to implement it correctly.
The document discusses several integrated development environments (IDEs) including JCreator, BlueJ, NetBeans, and MyEclipse. It provides details on the history and features of each IDE. JCreator is a Java IDE created by Xinox Software. It has three editions and runs on Windows. BlueJ is an IDE for teaching object-oriented programming and visually represents classes and objects. NetBeans is a cross-platform IDE written in Java that supports several languages including Java, PHP, and C/C++. MyEclipse is built on Eclipse and provides tools for Java enterprise development.
This document proposes a new type of region called AGCMemory for the Real-Time Specification for Java (RTSJ) to improve portability while maintaining predictability. AGCMemory reduces the "floating garbage" problem seen in RTSJ regions by automatically recycling objects created during method invocations. It uses constant-time barriers and internal data structures to track object allocations and support partial deallocation in a way that is more intuitive than nested scopes. The authors evaluate AGCMemory and discuss implementing it in an RTSJ virtual machine and evaluating its performance trade-offs.
Network programming in java - PPT with Easy Programs and examples of Java InetAddress Class and java socket programming example.
Learn more @ http://java2all.com/technology/network-programming
Objective-C began as an extension of C created by Brad Cox and Tom Love to make C more object-oriented like Smalltalk. It was later acquired and further developed by NeXT and then Apple. Objective-C adds object-oriented capabilities and messaging to C by allowing classes and methods. It uses dynamic typing where actions can be taken at runtime. Objective-C became widely used with Apple's development of Cocoa and Cocoa Touch frameworks, which use Objective-C for building iOS and macOS applications in an object-oriented way.
The document discusses Remote Method Invocation (RMI) in Java, including its architectural components like remote interfaces, stubs, and skeletons; how objects are serialized and classes dynamically loaded during remote calls; and how to configure the RMI codebase property to specify locations for downloading classes.
The document provides information about C++ aptitude and object-oriented programming (OOP) concepts. It contains sample C++ code snippets and questions with explanations to test understanding of topics like classes, inheritance, polymorphism, operator overloading, templates, and more.
Clojure is a Lisp dialect designed for the Java Virtual Machine that focuses on functional programming and concurrency. It allows easy interoperability with Java code and provides persistent data structures and software transactional memory for writing concurrent programs that avoid deadlocks. The document provides an overview of Clojure's syntax, data structures, higher-order functions, Java interoperability features, and approach to concurrency through immutable objects and managed references.
Java- Datagram Socket class & Datagram Packet classRuchi Maurya
Java DatagramSocket and DatagramPacket
Java DatagramSocket and DatagramPacket classes are used for connection-less socket programming.
________________________________________
Java DatagramSocket class
Java DatagramSocket class represents a connection-less socket for sending and receiving datagram packets.
A datagram is basically an information but there is no guarantee of its content, arrival or arrival time.
Commonly used Constructors of DatagramSocket class
o DatagramSocket() throws SocketEeption: it creates a datagram socket and binds it with the available Port Number on the localhost machine.
o DatagramSocket(int port) throws SocketEeption: it creates a datagram socket and binds it with the given Port Number.
o DatagramSocket(int port, InetAddress address) throws SocketEeption: it creates a datagram socket and binds it with the specified port number and host address.
________________________________________
Java DatagramPacket class
Java DatagramPacket is a message that can be sent or received. If you send multiple packet, it may arrive in any order. Additionally, packet delivery is not guaranteed.
Commonly used Constructors of DatagramPacket class
o DatagramPacket(byte[] barr, int length): it creates a datagram packet. This constructor is used to receive the packets.
o DatagramPacket(byte[] barr, int length, InetAddress address, int port): it creates a datagram packet. This constructor is used to send the packets.
This document provides tips and strategies for optimizing Java application performance through software tuning techniques. It discusses identifying and addressing bottlenecks, avoiding unnecessary object creation, using string pooling and interned strings efficiently, leveraging profilers to analyze performance issues, and optimizing loops and exception handling. The key strategies outlined are to reduce object creation, reuse objects when possible, compare strings effectively, and eliminate unnecessary method calls in loops.
The document summarizes the Deuce software transactional memory (STM) framework for Java. Deuce allows developers to add concurrency to Java applications using atomic blocks without changing code or using reserved keywords. It works by dynamically instrumenting bytecode to enable software transactions over shared fields. Benchmarks show it scales well on multi-core systems compared to other STM approaches like TL2 and LSA that require more intrusive changes.
This document proposes a No Heap model for remote objects in distributed real-time Java systems. The model avoids garbage collection by containing objects within scoped memory areas. Remote objects have a creation context in immortal memory and invocation contexts in local temporary memory areas. This allows safe nesting of contexts by forbidding references from creation to invocation contexts while allowing references the other way. The model is compared to traditional garbage collected remote objects, showing it uses less time as it avoids garbage collection overhead.
Blocks is a cool concept and is very much needed for performance improvements and responsiveness. GCD helps run blocks effortlessly by scheduling on a desired queue, priority and lots more.
This document provides an overview of computer vision techniques including:
1. Using pre-trained CNN models for tasks like classification and object detection. Popular models discussed include AlexNet, VGG, ResNet, YOLO, and DenseNet.
2. Basic CNN operations like convolution, pooling, dropout, and normalization. Feature extraction using CNNs and techniques like transfer learning and fine-tuning pretrained models.
3. Additional computer vision tasks covered include object detection using Haar cascades, stereo vision, pattern detection, and reconstructing images from CNN features. Frameworks like PyTorch and libraries like TensorFlow are also mentioned.
Network vs. Code Metrics to Predict Defects: A Replication StudyKim Herzig
The document discusses a replication study of a previous work that found network metrics outperformed code metrics in defect prediction models. The replication study makes several contributions: it uses random sampling on the same release like the original, predicts defects across different releases of the same project, and predicts defects across different projects. It collects both code and network metrics using various tools and from various levels of granularity, with some differences from the original study such as language and projects used.
This document discusses metaprogramming in JavaScript using ES6 features like proxies. It provides an example of using a proxy to create a domain-specific language that allows chaining method calls like "to(3).double.pow.get", which returns 36. It explains how the proxy intercepts property access and method calls to push functions into a pipeline and execute them on a value. This demonstrates how proxies enable powerful metaprogramming that allows programs to manipulate other programs and representations.
Deadlocks occur when threads mutually block each other by holding resources the other needs. An example program demonstrates deadlock by having two threads call synchronized methods on separate objects that each pause briefly before calling a method on the other object. To avoid deadlock, resources should be requested in the same order by all threads or code within synchronized blocks should not halt thread execution.
Erlang Message Passing Concurrency, For The Winl xf
Erlang is a language and runtime designed for scalable and distributed systems. It uses message passing for concurrency between processes rather than shared memory. Processes in Erlang are very lightweight and can communicate asynchronously. Erlang supports features like hot code upgrading, distributed programming, and has built-in support for building fault-tolerant systems through its Open Telecom Platform (OTP) libraries. Popular applications and platforms built with Erlang include WhatsApp, RabbitMQ, and ejabberd due to its ability to handle high volumes of concurrent connections and messages.
The document discusses the internal architecture and execution of the Java Virtual Machine (JVM). It describes how the JVM loads and executes Java bytecode, manages memory areas like the heap and method area, and allows for multithreaded execution through individual call stacks and synchronization between threads. Key components of the JVM include the class loader subsystem, execution engine, runtime data areas, Java stacks, and program counters for each thread.
The document discusses socket programming and provides an overview of client-server applications using sockets. It describes how sockets allow for interprocess communication using the client-server model. The key steps for creating TCP and UDP client and server applications in both C and Java programming languages are outlined, including how to create sockets, bind sockets, connect sockets, send and receive data. Code examples of a TCP client and server application written in C are also provided.
JNA allows Java code to call native C/C++ libraries by mapping native functions and data structures to Java. It uses libffi to invoke native functions from Java. While easier than JNI, JNA still requires understanding native code and careful mapping of data types and memory management to avoid issues like memory corruption. JNA is generally suitable when no pure Java solution exists and native functionality is needed, but precision is required to implement it correctly.
The document discusses several integrated development environments (IDEs) including JCreator, BlueJ, NetBeans, and MyEclipse. It provides details on the history and features of each IDE. JCreator is a Java IDE created by Xinox Software. It has three editions and runs on Windows. BlueJ is an IDE for teaching object-oriented programming and visually represents classes and objects. NetBeans is a cross-platform IDE written in Java that supports several languages including Java, PHP, and C/C++. MyEclipse is built on Eclipse and provides tools for Java enterprise development.
This document compares and evaluates several popular web services frameworks: Apache Axis2, Apache CXF, and Spring WS. It finds that Apache CXF is the most widely used standard now and an improvement over Axis2. CXF is intuitive, supports key standards, has best performance, and is compatible with Spring. It recommends CXF as the preferred framework.
The document discusses the importance of training for employees and organizations. It notes that training is important for development, helps increase productivity and reduce costs, and prevents skills from becoming obsolete. The document also outlines different methods of training, including on-the-job and off-the-job training. It provides details on identifying training needs, requirements, and approaches. Finally, the document discusses coaching and why people may seek coaching to help accomplish goals, resolve problems, and increase their leadership and professional capacities.
The document provides an overview of a project orientation covering topics like the definition of a project, project lifecycles like waterfall and agile models, career planning and trends, and the importance of training. It also introduces three local IT companies in Bengaluru and Mysuru that provide services like application development, training, and internships.
This document provides an overview of digital marketing, including definitions of key terms like digital marketing, search engine optimization, social media marketing, content marketing, and more. It discusses various digital marketing tactics like search engine marketing, social media, digital advertising, video marketing, email marketing, and mobile marketing. The document also covers affiliate marketing and how to start a business using different digital marketing strategies like content marketing, email marketing, and pay-per-click advertising.
This document provides an overview of Remote Method Invocation (RMI) in Java. It describes how RMI allows objects to be distributed across machines and invoked remotely. The key steps to building an RMI application are discussed, including defining a remote interface, implementing remote objects, running the RMI registry, and compiling/running client and server code. An example is presented to demonstrate the required classes for a simple RMI application that retrieves a string remotely.
This document discusses Remote Method Invocation (RMI) in Java. It describes the basic concepts and architecture of RMI, including how remote objects are represented by stubs and skeletons. It then provides step-by-step instructions for building a simple RMI application with four required classes: an interface for the remote object, the client, the remote object implementation, and the server. It also gives an example of building a more complex RMI application for performing numerical integration remotely.
If you have an access to an object on a different machine,
you can call methods of the remote object.of course, the method parameters must somehow be shipped to the other machine,the server must be informed to execute the method & the return value must be shipped back.
In RMI, the object whose methods makes the remote call is called the client object. The remote object is called the server object.The computer running the java code that calls the remote method is the client for that call.
The computer hosting the object that processes the call is the server for that call.
This document provides an overview of Remote Method Invocation (RMI) in Java. It discusses the architecture of RMI applications including stubs, skeletons, and the transport layer. It describes how RMI allows objects in one JVM to invoke methods on objects in another JVM, enabling the development of distributed applications. The document outlines the steps to implement RMI, including creating remote interfaces, implementation classes, the server, and client. It also discusses marshalling, unmarshalling, and the role of the RMI registry.
This Presentation shows the working of Java RMI technology, it's advantage over RPC, it's class hierarchy API and finally implementation of Factorial program using Java RMI.
The document describes the RMI architecture which allows objects in one Java virtual machine to invoke methods on objects residing in another Java VM. It discusses key concepts like stubs and skeletons which act as proxies, the remote reference layer for method invocation, and the RMI registry for lookup remote objects by name. It also provides steps to create a basic RMI application including defining the interface, implementing it, creating the server and client code, and running the application.
RMI allows Java objects to invoke methods on remote Java objects located in another Java Virtual Machine. It handles marshaling parameters, transportation between client and server, and unmarshaling results. To create an RMI application, interfaces define remote services, servers implement interfaces and register with the RMI registry, and clients lookup services and invoke remote methods similarly to local calls. Stub and skeleton objects handle communication between remote VMs.
Remote Method Invocation (RMI) allows Java objects to communicate remotely. The RMI architecture consists of interfaces, stubs, skeletons, and transport layers. Interfaces define remote services while stubs and skeletons handle remote calls. The transport layer connects clients and servers over TCP/IP. Clients lookup remote objects by name in an RMI registry.
Remote Method Invocation, Distributed Programming in java, Java Distributed Programming, Network Programming in JAVA, Core Java, Introduction to RMI, Getting Started with RMI, Getting Started with Remote Method Invocation, Distributed Programming, Java, J2SE
RMI allows objects in one Java Virtual Machine (JVM) to invoke methods on objects residing in another JVM. It uses stub and skeleton objects to enable remote communication between Java programs. The stub on the client side sends a call to the server-side skeleton, which then invokes the actual remote object. The key steps to build an RMI application are: defining the remote interface, implementing it, generating stub and skeleton objects, starting the RMI registry, running the server, and making calls from the client.
This document provides an overview of Java RMI (Remote Method Invocation), which allows objects to invoke methods on remote Java objects located elsewhere on a network. Key points:
- RMI allows one JVM to communicate with another and invoke methods remotely as if they were local.
- Remote interfaces define the methods that can be invoked remotely. The interface is shared between client and server code.
- When a remote method is invoked, a stub on the client side packages the parameters and sends them to the server, where the method is executed and results returned.
- Typical RMI applications have a server that creates remote objects and a client that looks them up and invokes their methods. The client interacts
This document provides an overview of Java RMI (Remote Method Invocation), which allows objects to invoke methods on remote Java objects located elsewhere on a network. Key points:
- RMI allows one JVM to communicate with another and invoke methods remotely as if they were local.
- Remote interfaces define the methods that can be invoked remotely. The interface is shared between client and server code.
- When a remote method is invoked, a stub on the client side packages the parameters and sends them to the server, where the method is executed and results returned.
- Typical RMI applications have a server that creates remote objects and a client that looks them up and invokes their methods remotely.
RMI allows Java objects to make remote calls to methods on other Java objects located in different JVMs. The document discusses how to create remote objects that implement remote interfaces, generate stubs and skeletons, and look up and invoke methods on remote objects. It provides an example "Hello World" RMI application to demonstrate the basic steps of developing and running an RMI client and server.
Recently The Java Remote Method Invocation (RMI) system allows an object running in one Java virtual machine to invoke methods on an object running in another Java virtual machine. RMI provides for remote communication between programs written in the Java programming language.
Remote Method Invocation (RMI) allows developers to invoke methods on remote Java objects. RMI handles the details of communication between remote objects transparently so that remote calls appear as local method calls. The RMI registry provides naming services that allow clients to lookup remote objects by name, simplifying the specification of remote objects' locations. Developers define interfaces for remote objects, generate stubs and skeletons, implement remote objects, register them with the RMI registry, and have clients lookup and invoke methods on remote objects.
Remote Method Invocation (RMI) allows objects running in one Java virtual machine to invoke methods on objects running in another Java virtual machine. RMI uses object serialization to marshal and unmarshal parameters and supports true object-oriented polymorphism. RMI is implemented using three layers - stub, remote reference, and transport connection layers. The stub and skeleton hide the underlying network implementation details and allow remote objects to be called similar to local objects. Security is an important consideration in RMI and a security manager must be installed and permissions configured to control access to remote objects and classes.
This document provides information about implementing and using Remote Method Invocation (RMI) in Java. It describes how RMI allows objects in one Java Virtual Machine (JVM) to invoke methods on objects residing in another JVM, even on different computers. It discusses how RMI handles class loading and updates dynamically. It then explains how RMI works under the hood using stub and skeleton objects to marshal parameters and return values across the network. The document provides steps for writing an RMI program and includes a full code example of an RMI service that calculates powers and its client.
The document describes developing a distributed RMI application with a database. It involves:
1) Creating a remote interface and implementation class to access the database.
2) Compiling the class and starting the RMI registry.
3) Creating and running a server that binds the remote object.
4) Creating and running a client that looks up the remote object and invokes its methods.
This document provides an overview of Remote Method Invocation (RMI) in Java. RMI allows objects running in one Java Virtual Machine (JVM) to invoke methods on objects running in another JVM. It describes the RMI process which involves defining a remote interface, compiling the remote object, and making the object accessible over the network. The client locates the remote object and invokes its methods similarly to a local object. The server implements the remote interface and provides the business logic to fulfill client requests.
This document discusses Remote Method Invocation (RMI) in Java. RMI allows objects to invoke methods on remote objects running in different Java Virtual Machines. It uses stub and skeleton objects for communication. The stub resides on the client-side and acts as a proxy for the remote object, marshalling method calls and results. The skeleton resides on the server-side and unmarshalls incoming method calls, invokes the corresponding method on the remote object, and marshalls the result back to the client. An example Java implementation is provided demonstrating how to define a remote interface, create a server object that implements it, register it with the RMI registry, and have a client lookup and invoke methods on the remote
The document provides an overview of React including its introduction, prerequisites, installation, fundamentals, components, life cycle, routing, hooks, Redux, projects, testing, comparison to Angular, and tips for React developers. It discusses key React concepts such as JSX, props, state, events, DOM, and virtual DOM.
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In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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3. June 21, 2017 3
• Overview of RMI.
• Java RMI allowed programmer to execute remote function class using
the same semantics as local functions calls.
Java Remote Object Invocation (RMI)?
Local Machine (Client)
SampleServer remoteObject;
int s;
…
s = remoteObject.sum(1,2);
System.out.println(s);
Remote Machine (Server)
public int sum(int a,int b)
{
return a + b;
}
1,2
3
4. June 21, 2017 4
• Java RMI is a mechanism that allows a Java program running on one
computer (e.g., the client) to apply a method to an object on a different
computer (e.g., the server).
• In itself, the syntax of the remote invocation looks exactly like an
ordinary Java method invocation. The remote method call can be
passed arguments computed in the context of the local machine. It can
return arbitrary values computed in the context of the remote machine.
The RMI system transparently forwards these arguments and results.
• RMI is an implementation of the of the Distributed Object
programming model—similar to CORBA, but simpler, and specialized
to the Java language
Java Remote Object Invocation (RMI)?
5. June 21, 2017 5
Advantages and Disadvantages
Advantages
True object-orientation: Objects as arguments and values
Mobile behavior: Returned objects can execute on caller
Integrated security
Built-in concurrency (through Java threads)
Disadvantages
Java only
Advertises support for non-Java
But this is external to RMI – requires Java on both sides
6. June 21, 2017 6
There are 3 Independent Layers
-Stub-Skeleton layer – client stubs and server skeletons
-Remote reference layer
-Transport layer –connection up , management and object tracking
System Architecture
7. June 21, 2017 7
•Interface to applications. Stub functions:
– Initiating a call to the remote object (via remote reference layer).
– Marshaling arguments (using serialization)
– Informing the remote reference layer that the call should be invoked.
– Unmarshaling the return value or exception from a marshal stream.
– Informing the remote reference layer that the call is complete.
•Skeleton functions:
– Unmarshaling arguments from the marshal stream.
– Making the up-call to the actual remote object implementation.
– Marshaling the return value of the call or an exception (if one occurred)
onto the marshal stream.
•Stub and skeleton (bytecode) generated by RMI compiler (rmic)
Stub-Skeleteon Layer
8. June 21, 2017 8
•An object implementation selects a specific remote reference sub-class.
Examples :
– Unicast point-to-point invocation
– Invocation to replicated object groups (multiple servers)
– Support for a user-defined replication/redirection strategy.
– Support for a persistent reference to the remote object (enabling activation
of the remote object).
– Reconnection strategies (if remote object becomes inaccessible).
•client-side - information on invocation according to specified remote reference
semantics.
•server-side - implements the specific remote reference semantics prior to
invoking the skeleton (e.g., atomic multicast delivery)
•data is transmitted from stub-skeleton to transport layer (and vice-versa) via
connection-oriented stream abstraction
•a connectionless transport (UDP) can be implemented underneath
Remote Reference Layer
9. June 21, 2017 9
Functions:
• Setting up and managing connections
• Monitoring connection "liveness."
• Listening for incoming calls.
• Maintaining a table of remote objects that reside in the address space.
• Setting up a connection for an incoming call.
• Locating the dispatcher for the target of the remote call and passing the
connection to this dispatcher.
Abstractions:
• endpoint - denotes an address space or Java virtual machine.
• channel - manages connection between local and remote address spaces
• connection - transfer data
• transport - channel managment
Transport Layer
10. June 21, 2017 10
• Assume code running in the local machine holds a remote reference to
an object obj on a remote machine.
Example ?
res = obj.meth(arg) ;
ResType meth(ArgType arg) {
. . .
return new ResImpl(. . .) ;
}
Local machine Remote machine
11. June 21, 2017 11
The General RMI Architecture
• The server must first bind
its name to the registry
• The client lookup the server
name in the registry to
establish remote references.
• The Stub serializing the
parameters to skeleton, the
skeleton invoking the
remote method and
serializing the result back to
the stub.
RMI Server
skeleton
stub
RMI Client
Registry
bind
lookupreturn call
Local Machine
Remote Machine
12. June 21, 2017 12
The Stub and Skeleton
• A client invokes a remote method, the call is first forwarded to stub.
• The stub is responsible for sending the remote call over to the server-
side skeleton
• The stub opening a socket to the remote server, marshaling the object
parameters and forwarding the data stream to the skeleton.
• A skeleton contains a method that receives the remote calls, unmarshals
the parameters, and invokes the actual remote object implementation
13. June 21, 2017 13
The Steps for Developing an RMI System
1. Develop the remote object and its interface
/* SampleServer.java */
import java.rmi.*;
public interface SampleServer extends Remote
{
public int sum(int a,int b) throws
RemoteException;
}
14. June 21, 2017 14
Develop the remote object and its interface
/* SampleServerImpl.java */
public static void main(String args[])
{
try
{
System.setSecurityManager(new RMISecurityManager());
//set the security manager
//create a local instance of the object
SampleServerImpl Server = new SampleServerImpl();
//put the local instance in the registry
Naming.rebind("SAMPLE-SERVER" , Server);
System.out.println("Server waiting.....");
}
catch (java.net.MalformedURLException me) {
System.out.println("Malformed URL: " + me.toString()); }
catch (RemoteException re) {
System.out.println("Remote exception: " + re.toString()); }
}
15. June 21, 2017 15
Develop the client program
Step 3: Develop the client program
• In order for the client object to invoke methods on the server, it must
first look up the name of server in the registry. You use the
java.rmi.Naming class to lookup the server name.
• The server name is specified as URL in the from
( rmi://host:port/name )
• Default RMI port is 1099.
• The name specified in the URL must exactly match the name that the
server has bound to the registry. In this example, the name is
“SAMPLE-SERVER”
• The remote method invocation is programmed using the remote
interface name (remoteObject) as prefix and the remote method name
(sum) as suffix.
16. June 21, 2017 16
Develop the client program
import java.rmi.*;
import java.rmi.server.*;
public class SampleClient
{
public static void main(String[] args)
{
// set the security manager for the client
System.setSecurityManager(new RMISecurityManager());
//get the remote object from the registry
try
{
System.out.println("Security Manager loaded");
String url = "//localhost/SAMPLE-SERVER";
SampleServer remoteObject = (SampleServer)Naming.lookup(url);
System.out.println("Got remote object");
System.out.println(" 1 + 2 = " + remoteObject.sum(1,2) );
}
catch (RemoteException exc) {
System.out.println("Error in lookup: " + exc.toString()); }
catch (java.net.MalformedURLException exc) {
System.out.println("Malformed URL: " + exc.toString()); }
catch (java.rmi.NotBoundException exc) {
System.out.println("NotBound: " + exc.toString());
}
}
}
17. June 21, 2017 17
the Remote Interface
• In RMI, a common remote interface is the minimum amount of
information that must be shared in advance between “client” and
“server” machines. It defines a high-level “protocol” through
which the machines will communicate.
• A remote interface is an ordinary Java interface, which must
extent the marker interface java.rmi.Remote.
• All methods in a remote interface must be declared to throw the
java.rmi.RemoteException exception.
18. June 21, 2017 18
java.rmi.Remote
• The interface java.rmi.Remote is a marker interface.
• It declares no methods or fields; however, extending it tells the
RMI system to treat the interface concerned as a remote
interface.
• In particular we will see that the rmic compiler generates extra
code for classes that implement remote interfaces. This code
allows their methods to be called remotely
19. June 21, 2017 19
java.rmi.RemoteException
• The Requiring all remote methods be declared to throw
RemoteException was a philosophical choice by the designers of
RMI.
• RMI makes remote invocations look syntactically like local
invocation. In practice, though, it cannot defend from problems
unique to distributed computing—unexpected failure of the
network or remote machine.
• Forcing the programmer to handle remote exceptions helps to
encourage thinking about how these partial failures should be
dealt with.
20. June 21, 2017 20
The Remote Object
• A remote object is an instance of a class that implements a
remote interface.
• Most often this class also extends the library class
java.rmi.server.UnicastRemoteObject. This class includes a
constructor that exports the object to the RMI system when it is
created, thus making the object visible to the outside world.
• Usually you will not have to deal with this class explicitly—your
remote object classes just have to extend it.
• One fairly common convention is to name the class of the remote
object after the name of the remote interface it implements, but
append “Impl” to the end
• .
21. June 21, 2017 21
The Stub
• A What this tells us is that, however they are obtained—and
however they look—remote references are not, in reality, Java
references to remote objects. They are Java references to local
objects that happen to implement the same remote interfaces as
the remote objects concerned.
• The local Java object referenced is actually an instance of a stub
class.
22. June 21, 2017 22
The Architecture
• A
Client
Code Stub
RMI
“Run-time”
System
Remote
Object
Call stub method
locally
Return value
or throw exception
Call remote object
method locally
Return value
or throw exception
Send marshaled
arguments
Send marshaled
result or
exception
Internet
Client
Server
23. The Role of rmic
• The only “compiler” technology peculiar to RMI is the
rmic stub generator.
• The input to rmic is a remote implementation class,
compiled in the normal way with javac (for example).
• The stub generator outputs a new class that implements
the same remote interfaces as the input class.
• The methods of the new class contain code to send
arguments to, and receive results from, a remote object,
whose Internet address is stored in the stub instance
25. The RMI Registry
Instead of interacting with the registry indirectly through the
Naming class, it is possible to obtain a direct remote reference to
the registry object.
Its remote interface is defined in the package java.rmi.registry.
The interface includes:
public interface Registry extends Remote {
public Remote lookup(String name) throws . . . ;
public bind(String name, Remote obj) throws . . . ;
public rebind(String name, Remote obj) throws . . . ;
. . .
}
26. The LocateRegistry
This class constructs a stub for an existing Registry object. (It can
also create a new registry implementation object, running in the
current JVM.)
The interface includes:
public final class LocateRegistry {
public static Registry getRegistry(String host, int port)
throws . . .
{. . .}
public static Registry createRegistry(int port)
throws . . .
{. . .}
. . .
}