The client requests the server for resources or a task to. The situation becomes very different in the case of grid computing. Although the advantages of this technology for classes of. Dalam komputasi grid, jaringan komputer bekerja sama untuk melakukan tugas yang sama. Both approaches are integral to modern. In this paper, an AC-DC hybrid micro-grid operation topology with distributed new energy and distributed energy storage system access is designed, and on this basis, a coordinated control strategy. A distributed system is made up of different configurations with mainframes, personal computers, workstations, and minicomputers. Aman Srivastava Assistant System Engineer at Tata Consultancy Services. , Murshed, M. 2. Introduction. To some, grid computing is just one type of distributed computing. N-tier. DISTRIBUTED COMPUTING. Grid computing is a type of distributed computing concept in which various computers within the . What Is Grid Computing In Hindi | Grid Computing Introduction | Cloud Computing Tutorial In Hindi Hi, I am Rahul Gupta, Welcome to My Youtube Channel, Digita. Grid computing differs from traditional high-performance computing systems such as cluster computing in that each node is dedicated to a certain job or application. In grid computing, the computers on the network can work on a task together, thus functioning as a supercomputer. Distributed Systems Mcqs. D. 3. His research interests are in grid computing, distributed systems, and genetic algorithm. This idea first came in the 1950s. Distributed computing also refers to. 1. What is grid computing? Grid computing is a group of networked computers that work together as a virtual supercomputer to perform large tasks, such as analyzing huge sets of data or weather modeling. Timely acquiring resource status information is of great importance in ensuring overall performance of grid computing. In addition, they are simpler to scale, as adding an additional processor to the system often consists of little more than connecting it to the network. A Advantages of Grid ComputingGrid computing. This current vision of Grid computing certainly did not happen overnight. Grid Computing is less flexible compared to Cloud Computing. The components of a distributed system interact with one. Distributed computing system has two different variants like as cluster computing and grid computing; and both are explained in detail: Cluster Computing: In cluster computing, multiple computers are linked over the network and works as an individual entity. ; Offering online computation or storage as a metered commercial service, known as utility computing, "computing on demand", or "cloud computing". The term grid computing was first used in 1997 by Carl Kesselman to describe the computing resources that were available at the San Diego Supercomputer Center. Setiap simpul menawarkan sumber daya komputasi yang tidak digunakan, seperti CPU, memori, dan penyimpanan ke. The goal of IBM's Blue Cloud is to provide services that automate fluctuating demands for IT resources. Introduction to Grid Computing December 2005 International Technical Support Organization SG24-6778-00Distributed and Parallel Systems: Cluster and Grid Computing is an edited volume based on DAPSYS, 2004, the 5th Austrian-Hungarian Workshop on Distributed and Parallel Systems. Hazelcast named in the Gartner ® Market Guide for Event Stream Processing. 2: It is a centralized management system. The resource management system is the central component of grid computing system. Cluster computing goes with the features of:. 02. 3. The basis of a distributed architecture is its transparency, reliability, and availability. To efficiently maintain and provision software upon a grid infrastructure, the middleware employed to manage the. Grid computing is applying the resources of many computers in a network to a single problem at the same time Grid computing appears to be a promising trend for three reasons: (1) Its ability to make more cost-effective use of a given amount of computer resources, (2) As a way to solve problems that can't be approached without an enormous. Emulating Volunteer Computing Scheduling Policies. Distributed System MCQ 2018 - Free download as PDF File (. The three essential components of any distributed computing system; are primary system controller, system data store, and a database. 4. Keywords: Cluster computing, Grid computing, Utility computing, Cloud computing, Virtual machine monitor (VMM). Grid and P2P systems have become popular options for large-scale distributed computing, but their popularity has led to a number of varying definitions that are often conflicting. Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly. Introduction : Cluster computing is a collection of tightly or loosely connected computers that work together so that they act as a single entity. Grid computing is distinguished from conventional. From these system-level commands we may build a higher level library of more user-friendly shell commands, which may in turn be programmed through scripts. You can put all your services on one machine. 4: The users pay for what they use (Pay-as-you-go Model)Actors: A Model of Concurrent Computation in Distributed Systems. A Grid, according to the definition in [24], is a. Grid Definition a Grid is "a set of information resources (computers, databases, networks, instruments, etc. Grid computing can be defined as a type of parallel and distributed system that enables sharing, selection, and aggregation of geographically distributed autonomous resources. Grids are made up of processors, sensors, data-storage systems, applications and other IT resources, all these are shared across the network. 한국해양과학기술진흥원 Sequential Applications Parallel. 1) Distributed Computing System. You use ________ to predict when a computer hardware system becomes saturated. 3: Cloud Computing is flexible compared to Grid Computing. – Users & apps should be able to access remote. Grid computing is defined in literature as “systems and applications that integrate and manage resources 1. The key benefits involve sharing individual resources, improving performance,. Send distributed computing and grid computing combine who power of multiple computers and run them as adenine sole system. In heterogeneous systems like grid computing, failure is inevitable. Grid (computation) uses a cluster to perform a task. Each project seeks to utilize the computing power of. We outline the core components of the Condor system and describe how Distributed Computing in Grid and Cloud. Introduction to Grid Computing December 2005 International Technical Support Organization SG24-6778-00Distributed and Parallel Systems: Cluster and Grid Computing is an edited volume based on DAPSYS, 2004, the 5th Austrian-Hungarian Workshop on Distributed and Parallel Systems. This paper proposed the architecture and key technologies of the Grid GIS. 3. In cloud computing, cloud servers are owned by infrastructure providers. determining whether a system is a Grid. The utility computing is basically the grid computing and the cloud computing which is the recent topic of research. Grid computing is a distributed computing model allowing organizations to utilize geographically dispersed resources as a unified system. It has Centralized Resource management. Grid computing is distinguished from conventional high performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. In general, there is no defined business model in grid computing. Based on the principle of distributed systems, this networking technology performs its operations. Abstract. A local computer cluster which is like a "grid" because it is composed of multiple nodes. Clients of a. maintains a strong relationship with its ancestor, i. Grid computing is a kind of distributed computing whereby a "super and virtual computer" is built of a cluster of networked, loosely coupled computers, working in concert to perform large tasks. Examples of distributed systems. I tend to. , 2011). ; The creation of a "virtual. A computer in the distributed system is a node while a collection of nodes. Distributed computing and distributed systems share the same basic properties of scalability, fault tolerance, resource sharing, and transparency. On the other hand, grid computing has some extra characteristics. Grid Computing is based on the Distributed Computing Architecture. This section deals with the various models of computing provision that are important to the. Grid computing is a form of distributed computing that uses a network of computers to perform complex tasks. 12 System Models of Collective Resources and Computation Resource Provision. g. A simple system can consist. Distributed computing is a field of computer science that studies distributed systems. 3 Communication models. Many distributed systems make use of cheap, off-the-shelf computers for processors and memory, which only require minimal cooling costs. Real Life Applications of Distributed Systems: 1. In distributed computing, resources are shared by same network computers. Adding virtual appliances into the picture allows for extremely rapid provisioning of grid nodes and. 16). Grid computing is the use of widely distributed computer resources to reach a common goal. INTRODUCTION Grid computing is a distributed computing approach where the end user will be ubiquitously offered any of the services of a grid or a network of computer system located either in a Local Area Network or in a Wide Area. IBM develops the Grid middleware based on J2EE. Grid computing. Typically, a grid works on various tasks within a network, but it is also. 1) With diagram explain the general architecture of DSM systems. This is a comprehensive list of volunteer computing projects; a type of distributed computing where volunteers donate computing time to specific causes. Download Now. What distinguishes grid computing from conventional high performance. Grid computing can access resources in a very flexible manner when performing tasks. This works well for predominantly compute-intensive jobs, but it becomes a problem. Cluster computing is used in areas such as WebLogic Application Servers, Databases, etc. Because grid computing systems (described below) can easily handle embarrassingly parallel problems, modern clusters are typically designed to handle more difficult problems—problems that require nodes to share intermediate results with each other more often. In Grid computing, grids are owned and managed by the organization. Recently, there has been a surge in interest surrounding the field of distributed edge computing resource scheduling. Of particular interest for effective grid, computing is a software provisioning mechanism. A local computer cluster which is like a "grid" because it is composed of multiple nodes. centralized processing. Grid computing is focused on the ability to support computation across multiple administrative domains that sets it apart from traditional distributed computing. A grid computing network . Keywords— Cloud computing, Grid computing, Cloud Architectures, Scalable web applications, SaaS, IaaS, PaaS, cloud computing analysis, Amazon EC2, AppEngine , Azure. Splitting. The growing of high-speed broadband networks in developed and developing countries, the continual increase in. (A) A network operating system, the users access remote resources in the same manner as local resource. The demand for a large-scale distributed system, such as a smart grid, which includes real-time interconnection, is rapidly increasing. (As it is a school project, I'll probably execute programs like Prime finder and Pi calculator on it). Characteristics of Grid Computing. Grid computing is a sub-area of distributed computing, which is a generic term for digital infrastructures consisting of autonomous computers linked in a computer network. Grid modernization—transitioning from electric grids to smart grids built on digital and IoT solutions—is a do-or-die imperative for utility companies. Computers of Grid Computing can leverage the unused computing resources to do other tasks. Data grids allow for data distribution across a network of computers or storage, similar to computational grids where operations are separated. Ganga - an interface to the Grid that is being. 1 2Cloud computing [1] is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. Grid computing is becoming more and more attractive for coordinating large-scale heterogeneous resource sharing and problem solving. Abstract. In this method, the workload is distributed across other computers in the network so that resources are used to derive a common goal in the best possible manner. JongHyuk Lee received his B. However,. Here are some of the critical characteristics of grid computing: Distributed Resources: It relies on a network of geographically dispersed computing resources connected via high-speed internet connections. 2. The distributed computing system is all about evolution from centralization to decentralization, it depicts how the centralized systems evolved from time to time towards decentralization. In this bonus video, I discuss distributed computing, distributed software systems, and related concepts. The grid computing model is a special kind of cost-effective distributed computing. Title: What is Grid Computing System 1 What is Grid Computing System. Data grid computing. In grid computing architecture, every computer in network turning into a powerful supercomputer that access to enormous processing power,memory and data storage capacity. The methodologies for engineering complex systems have been evolving toward: 1. Parallel computing takes place on a single computer. The concept of “Grid Computing” in distributed system is used to perform users tasks online at any place and at any time . This subgroup consists of distributed systems that are often constructed as a federation of computer systems, where each system. Distributed cloud computing is the distribution of public cloud services across multiple geographic locations. 4 shows the general concept of grid computing which shows that various resources are segregated from across the world or geographically dispersed location towards a central location i. 4. Grid computing. Embedded Systems: A computing. A program running on a volunteer's computer periodically contacts a research application server via the Internet to request jobs and report results. Distributed computing is defined as a system consisting of software components spread over different computers but running as a single entity. The clients can be computers, mobile devices, or any. The core goal of parallel computing is to speedup computations by executing independent computational tasks concurrently (“in parallel”) on multiple units in a processor, on multiple processors in a computer, or on multiple networked computers which may be even spread across large geographical scales (distributed and grid. Hazelcast named in the Gartner ® Market Guide for Event Stream Processing. An overview of Grid computing and this special issue addresses motivations and driving forces for the grid, tracks the evolution of the Grid, discusses key issues in Grid computing, and outlines the objective of the special issues. Each project seeks to utilize the computing power of. resources. Komputer atau server pada jaringan komputasi grid disebut simpul. Distributed computing systems refer to a network of computers that work together to achieve a common goal. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have. The resource management and scheduling systems for grid computing need to manage resources and application execution depending on either resource consumers’ or owners’ requirements, and continuously adapt to changes in resource availability. One of the major requirements of distributed computing is a set of standards that specify how objects communicate with each other. Holds the flexibility to allocate workload as small data portions and which is called grid computing. The Overflow Blog The AI assistant. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. ___ defines the Grid as “a service for sharing computer power and data storage capacity over the Internet. 6. Google Scholar Digital Library; Saeed Shahrivari. Grid computing enables the sharing, selection, and aggregation of a wide variety of resources including supercomputers, storage systems, data sources, and specialized devices that are geographically distributed and owned by different organizations for solving large-scale. A grid computing in cloud computing is a kind of parallel and distributed system that makes it possible to share, pick, and aggregate resources that are dispersed over "many" administrative domains based on their (resources') availability, capacity, performance, cost, and users' quality-of-service requirements. Editor's Notes The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of files. Parallel computing takes place on a single computer. Published on Apr. IBM Spectrum LSF (LSF, originally Platform Load Sharing Facility) is a workload management platform, job scheduler, for distributed high performance computing (HPC) by IBM. Ganga - an interface to the Grid that is being. and users of grid. " You typically pay only for cloud services you use helping lower your. 1. No, cloud is something a little bit different: High Scalability. The computer network is usually hardware-independent. Download to read offline. Addressing increasingly complex problems and building corresponding systems. Peer-to-Peer Systems. ) As a result, SimGrid has served as the foundational technology for developing simulators and obtaining experimental results for a wide range. traditional distributed systems and yet strengthens its existence as an exceeding technology for high performance computing. However, as you pointed out, you don't need to use micro servers for a distributed system. In this paper, we present the design and evaluation of a system architecture for grid resource monitoring and prediction. The size of a grid may vary from small aquantitative estimation algorithms that measure reliability in distributed systems [24,25]. Grid computing an extension of distributed computing supports computation across multiple administrative domains which enable it to be distributed over a local, metropolitan or wide area network. According to Dayanni and Khayyambashi high performance refers to the rapidness at which data can be accessed and shared amongst the set of distributed. These computers may connect directly or via scheduling systems. Choose the correct combination from the list below. distributed processing. 5. The Condor High Throughput Computing System Condor is a high-throughput distributed batch computing system. Across all grid segments, Guidehouse Insights expects edge computing platforms to be centered around four key technologies: Distribution automation (DA): Near-instantaneous fault detection, location, isolation, and service restoration (FLISR) uses the split-second action of DA assets around the grid for enhanced grid reliability and resiliency. Through technological advancements and their changing role in society, distributed systems have undergone a perpetual evolution, with each change resulting in the formation of a new paradigm. The basic differentiating point between the two is the fact that in cloud computing users can operate their daily activities on a virtual environment that is free of hardware and software stuff, whereas grid computing works on the shared environment of the distributed administrative domains. It started its journey with parallel computing after it advanced to distributed computing and further to grid computing. The structure of the distributed system is mapped onto a grid such that the vertices of the grid represent the qubits in the nodes, while an edge between the qubits identifies an l-level (E_{j. Distributed computing also. Cloud Services are “consumer and business products, services and solutions that are delivered and consumed in real-time over the Internet” while Cloud Computing is “an emerging IT development, deployment and. Cloud Computing Notes: Computing E-Book: Handwritten Notes of all subjects by the following li. In making cloud computing what it is today, five technologies played a vital role. Figure 1 shows a typical arrangement of computers in a Computing Cluster. A distributed system is a collection of computer programs that utilize computational resources across multiple, separate computation nodes to achieve a common, shared goal. This is typically designed to increase productivity, fault tolerance, and overall performance. This refers to the utility pricing or metered billing where users do not have to pay as they release the. Peer-to-peer networks also influence grid systems, but because this is also a new technology, reliability has been less extensively researched [26]. 2. In the adoption of Grid computing, China, who. The resources in grid are owned by different organizations which. Grid computing is derived from the cloud and is closely related to distributed computing. These computers do not need to be in the same building or even the same country, so long as they are connected through a network (locally. Cloud computing is all about renting computing services. Grid computing: Heterogeneous nodes geographically dispersed and connected over wide-area networks acting as a virtual supercomputer for large-scale computations like simulations and. These are distributed systems and its peripherals, virtualization, web 2. At its most basic level, grid computing is a computer network in which each computer's resources are shared with every other computer in the system. : Péter Kacsuk. The clusters are generally connected through fast local area networks (LANs) Cluster Computing. 2) Draw the diagram of grid protocol architecture and explain the layers, service providers. In grid computing, individual users can access computers and data transparently, without having to consider location, operating system, account administration, and other details. —This paper provides an overview of Grid computing and this special issue. Komputasi terdistribusi adalah metode yang membuat beberapa komputer bekerja sama untuk memecahkan masalah umum. 0. Simply described, distributed computing is a type of computing that enables several computers to interact with one another and work together to solve a single issue. Grid computing presents a new trend to distributed computation and Internet applications, which can construct a virtual single image of heterogeneous resources, provide uniform application interface and integrate widespread computational resources into super, ubiquitous and transparent aggregation. It's like using a screw driver to hammer a nail ;). In an enterprise grid meta-operating system (so to speak), the workload consists of network-distributed applications (ranging from traditional multitier applications to Web services and SOAs); the resources are servers, storage arrays, network devices, operating systems, databases, and other platform software; and the policies are SLOs. (B) Network dependency, Quantity of Service (QoS), Cookies and replication, Dependability issues. Cloud computing is about delivering an on demand environment using transparency, monitoring, and security. Simply stated, distributed computing is computing over distributed autonomous computers that communicate only over a network (Figure 9. Payment System. Cloud computing uses services like Iaas, PaaS, and SaaS. A Grid Computing system can be both simple and complex. As HPC and cloud computing are combined, high-performance cloud computing (HPC2) is possible. The use of multiple computers linked by a communications network for processing is called: supercomputing. 1. Introduction. What is Distributed Computing. Follow. In computing, though, the grid is made up of a set of hardware and software resources that may be geographically separated but connected over a network through specialized applications. A distributed system consists of multiple autonomous computers that communicate through a computer network. A computing system in which services are provided by a pool of computers collaborating over a network. [4]. He is also serving as the founding CEO of Manjrasoft Pty Ltd. 2. Still in beta but it's stable now :). The term "grid computing" denotes the connection of distributed computing, visualization, and storage resources to solve large-scale computing problems that otherwise could not be solved within the limited memory, computing power, or I/O capacity of a system or cluster at a single location. Costs of operations and maintenance are lower. Web search. Grid computing is a computing infrastructure wherein computers in different geographical locations are connected together to work on common tasks. In fact different computing paradigms have existed before the cloud computing paradigm. Distributed computing refers to a system where processing and data storage is distributed across multiple devices or systems, rather than being handled by a single central device. Misalnya, komputasi. (2) A parallel processing architecture in which CPU resources are shared across a network, and all machines function as one large supercomputer. Aggregated processing power. It is Brother of Cloud Computing and Sister of Supercomputer. Types of Distributed Systems. Middleware as an infrastructure for distributed system. [2]. Distributed computing is a field of computer science that studies distributed systems. Micro services is one way to do distributed computing. These. In general when working with distributed systems you work a lot with long latencies and unexpected failures (like mentioned in p2p systems). Provided by the Springer Nature SharedIt content-sharing initiative. What is the easiest way to parallelize my C# program across multiple PCs. Cluster computing is used in areas such as WebLogic Application Servers, Databases, etc. Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible. This idea first came in the 1950s. Rajkumar Buyya is an Associate Professor and Reader of Computer Science and Software Engineering; and Director of the Grid Computing and Distributed Systems (GRIDS) Laboratory at the University of Melbourne, Australia. HDFS. applications to be a single computer system is said. To some, grid. Ian T Foster, C. For instance, training a deep neural. It dates back to remote job entry on mainframe computers and the initial use of data entry terminals. The last fifteen years have observed a growth in computer and. Abstract. Grid operates as a decentralized management system. Its architecture consists mainly of NameNodes and DataNodes. Grid technologies serving large distributed systems can help address many application areas' computing and storage needs. It started its journey with parallel computing after it advanced to distributed computing and further to grid computing. Distributed or grid computing is a sort of parallel processing that uses entire devices (with onboard CPUs, storage, power supply, network connectivity, and so on) linked to a network connection (private or public) via a traditional network connection, like Ethernet, for. . [1] Data grids make this possible through a host of middleware applications and services that pull together data and resources. Platform. Grid computing, a descendant of the cloud and big brother to distributed computing. However, users who use the software will see a single coherent interface. Here all the computer systems are linked together and the. As part of a grid, computers share resources like power for processing, internet connectivity, and storage space to carry out tasks requiring a lot of computing. I tend to. GIGABYTE Technology, an industry leader in high-performance servers, presents this tech guide to. Processing power, memory and data storage are. The workshop was held in conjunction with EuroPVM/MPI-2004, Budapest, Hungary September 19-22, 2004. To provide a seamless connected environment, real-time communication and optimal resource allocation of cluster microgrid platforms (CMPs) are essential. We view computing Grids as providing essentially a globally scalable distributed operating system that exposes low level programming APIs. While grid computing is a decentralized executive. The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration. The grid can be thought of as a distributed system with non-interactive workloads that involve a large. Grid computing is a phrase in distributed computing which can have several meanings:. In general, grid computing is divided into two subtypes, i. A hybrid cloud approach that combines your on-premises infrastructure with public cloud resources lets you scale up as needed, reducing the risk of lost opportunities. Massively Multiplayer Online Gaming. Towards Real-Time, Volunteer Distributed Computing. In distributed clouds, the operations and governance —as well as updates—continue to remain under the purview of the primary public cloud provider. Similarly. On the other hand, distributed computing allows for scalability, resource sharing, and the efficient completion of computation tasks. The donated computing power comes from idle CPUs and GPUs in personal computers, video game consoles [1] and Android devices . Message Passing Interface (MPI) is a standardized and portable message-passing system developed for distributed and parallel computing. Grid computing is a form of parallel computing. Costs of operations and. to be transparent. grid-computing; or ask your own question. As against, the cloud users have to pay as they use. Download Now. This article highlights the key comparisons between these two computing systems. A good example is the internet — the world’s largest distributed system. Distributed Computing. Charm4py - General-purpose parallel/distributed computing framework for the productive development of fast, parallel and scalable applications. This article highlights the key. The term "grid computing" denotes the connection of distributed computing, visualization, and storage resources to solve large-scale computing problems that otherwise could not be solved within the limited memory, computing power, or I/O capacity of a system or cluster at a single location. A distributed system can be anything. Grid computing is the use of widely distributed computer resources to reach a common goal. In contrast, distributed computing takes place on several computers. Cloud computing, on the other hand, is a form of computing based on. In cloud computing, cloud servers are owned by infrastructure providers. The computers interact with each other in order to achieve a common goal. This API choice allows serial applications to. Cloud computing refers to accessing, configuring and manipulating the resources (such as software and hardware) at a remote location (Patidar et al. The SETI project, for example, characterizes its model as a distributed computing system. 1. INTRODUCTION A distributed computing system is defined as a collection of independent computers that appear to their users as a single. Grid Computing is a distributed computing model. The algorithm proposed in [13], a migrating server node (MSN) returns light weighted node whenever required. distributed computing and data resources such as processing, network bandwidth and storage capacity to create a single system image, granting users and applications seamless access to vast information technology (IT) capabilities. This virtual super computer has to perform tasks that are large for any single computer to perform within a reasonable time. There are many more distributed computing models like Map-Reduce and Bulk Synchronous Parallel. As a result, hardware vendors can build upon this collection of standard. Grid and cloud computing. This article explains the fundamentals of grid computing in detail. A distributed computing architecture consists of several client machines with very lightweight software agents installed with one or more dedicated distributed. NET grid computing and finally I decide to build my own. Another emerging area likely to influence grid computing6 Grid Computing Genealogy Early Grid Technologies – Distributed Job Manager; DJM Network Queuing System: NQS – University Research projects Mature Commercial Products – Sun Grid Engine (Sun, formerly Codine/GRD). ‘GridSim: a toolkit for the modelling and simulation of distributed resource management and scheduling for grid computing’. I want to write a distributed software system (system where you can execute programs faster than on a single pc), that can execute different kinds of programs. In grid computing, the details are abstracted. Ali M, Dong ZY, Li X et al (2006b) A grid computing based approach for probabilistic load flow analysis. In distributed computing, different computers within the same network share one or more resources. Keywords: Workflow management system, Grid computing, Grid workflow system, Petri Net model 1. 17 TS Scalability in Distributed Systems Many developers of modern distributed system easily use the adjective “scalable” without making clear why their system actually scales. Whereas, in the class of non-distributed HPC systems multi-core systems dominated [28]. 06, 2023. It can also be seen as a form of Parallel Computing where instead of many CPU cores on a single machine, it contains multiple cores spread across various locations. DAPSYS 2008, the 7 th International Conference on Distributed and Parallel Systems was held in September 2008 in Hungary. Grid computing came into the picture as a solution to this problem.