A Java-based distributed network management architecture (original) (raw)

IMPLEMENTATION OF DISTRIBUTED COMPUTING ENVIRONMENT BASED ON JAVA

IJCIRAS, 2019

Distributed computing is widely used in around the world. As the mean of "distribute", the required tasks can be performed concurrently on separated nodes. The proposed system is to implement the roll call system of university as the distributed computing environment. This system consists of two parts by the functionality, the administrator and the teacher. The administrator can add, edit and delete teachers, class, monthly call, department and years of courses. And the administrator can view and print the total roll call of each class. Each family teacher can add, modify and delete the students and calculate the attendance of the students. And then the teacher can also view and print the result of the attendance of the class. This system intends to ease the calculation of roll call system of university over distributed computing. In order to facilitate such a set of events and actions, many development platforms are available. The system uses the Java programming language and Java distributed system, called Java Remote Method Invocation (RMI) and MySQL database server. Keyword: RMI, MySQL 1.INTRODUCTION The distributed system can run on several computers that locate separately through the network. A common way of organizing software to run on distributed systems is to separate functions into two parts: clients and servers. A client is a program that uses services that other programs provide. The programs that provide the services are called servers. The client makes a request for a service, and a server performs that service. Server functions often require some resource management, in which a server synchronizes and manages access to the resource, and responds to client requests with either data or status information. Servers can in turn be clients of other server. Client programs typically handle user interactions and often request data or initiate some data modification on behalf of a user. A common design of client/ server systems uses three tiers. A client interacts with the user. An application server contains the business logic of the application. A resource manager stores data [7]. 2.AIM AND OBJECTIVES This system intends to implement with studying the necessary theory for distributed system and network technology. The aim and objectives of this system are as follows: • To know the basic concepts and general architecture of distributed computing environment • To understand how the computer can interact over the communication • To get the knowledge in the usefulness of distributed objects • To provide more efficiency and performance than that of stand-alone system • To help for making the roll call system of universities 3.BACKGROUND THEORY 3.1. Introduction of Distributed Computing A distributed system consists of multiple computers that can communicate through a network. The computers can connect with one to another in order to achieve a common goal. A computer program can runs in a distributed system is called a distributed program.

A world-wide distributed system using java and the internet

… Symposium on High …, 2002

This paper describes the design of a distributed sys- tem built using Java that supports peer-to-peer commu- nication among processes spread across a network. We identify the requirements of a software layer that sup- ports distributed computing, and we propose a design that ...

Design and Implementation of a Resource Management System for Network Computing using Java

1999

As distributed computing has become a large-scale environment such as grid computing, software resource management is rising as the key issue. In this paper, we propose a new resource management system, which manages software resources effectively, and its prototype implementation. This system uses an existing on-demand software streaming technology to manage software resources. This system greatly reduces traditional software deployment costs and associated installation problems. In this system, an added node can also execute a requested job without installation of applications.

Parallel and Distributed Computing Using the Java Language Paradigm

1996

Abstract Parallel processing has emerged as a key enabling technology in modern computers, driven by the ever-increasing demand for higher performance, lower costs and sustained productivity in real-life applications. At the same time, the Internet, whose exponential growth in the last 4 years can be greatly attributed to the ever-increasing popularity of the World-Wide Web, has become a virtual in nite source of information and processing resources.

Distributed Computing and Networking

Lecture Notes in Computer Science, 2008

event started off nine years ago as a small workshop for distributed computing researchers in India, and has gradually matured into a true international conference, while simultaneously widening its scope to cover most aspects of distributed computing and networking. We received 185 submissions from all over the world, including Australia,

JICOS: A Java-Centric Network Computing Service

Pdcs, 2005

JICOS is a Java-centric distributed service for highperformance parallel computing. Its API is especially suited to divide-and-conquer computations. Computational tasks can access a global read-only input object and a mutable object that is shared asynchronously. These features enable an elegant expression of branch-and-bound optimization, which is used as the benchmark for the performance experiments. The API includes a simple set of applicationcontrolled directives for improving performance by reducing communication latency or overlapping it with task execution. The architecture manages a host processor set that can change during the program execution for reasons that include faulty hosts. Experimental results confirm high parallel efficiency on branch-and-bound. Experiments also confirm efficient recovery from host failures. JICOS reports a computation's actual critical path time, which can be used to calculate the maximum available parallelism of a problem instance.

New Paradigm of Computing (Distributed Computing)

2020

Distributed computing is an evolving trends in computing where clients can access their applications from anyplace through their internet enable gadgets where user friendly interface is developed to support the applications straightforward to clients. The applications lived in greatly versatile servers where resources can be progressively provided and shared to accomplish huge task of operations. A solid management results in close to zero administration costs when more IT assets are added to the cloud. The expansion and increasing of technological gadgets (smart phones and laptops and tablets), fast internet connectivity, has made the distributed computing model reasonable as well as decreased IT sophistication. Starting from the development of server and taking advantage of multi-nodal online information management and program handling execution. As organizations effectively seek after proficiency and cost decrease all through their frameworks and operational structure, the inborn...

Distributed Computing Software Project

1986

The Distributed Computing Software project at Oxford University is using formal specification techniques to explore the design of services in a distributed operating system. Our goal is to construct and publish the specification of a loosely-coupled distributed operating system consisting of a number of autonomous services. Some design principles have been proposed from consideration of conventional business practice. Several services have already been designed and implemented according to these principles.

JPDC: Java Package for Distributed Computing

In this paper we present Java Package for Distributed Computing (J PDC), a toolkit for implementing and testing distributed algorithms in Java. J PDC's goals are to simplify the development of distributed algorithms by defining an highlevel programming interface. The interface is very close to the pseudo-code formalism commonly used to describe algorithms and allows, at the same time, the implementation and deployment in a truly distributed setting. Moreover, J PDC also provides a friendly interface that can be used both to visualize the algorithm behavior and both to interact with it. This is especially useful for teaching environments where complex algorithms can be much better debugged, understood and validated by implementing and running them.