A Combined Approach for Implementation of Broadcast Operation in Grid Computing

2013 ◽  
Vol 5 (1) ◽  
pp. 25-36
Author(s):  
Ghalem Belalem ◽  
Mohammed Ilyes Kara Mostefa
Keyword(s):  
Grid Computing ◽  
Large Scale ◽  
Distributed Applications ◽  
Scheduling Problems ◽  
Distributed Environment ◽  
Hybrid Strategy ◽  
Large Scale Systems ◽  
Information Power ◽  
Grid Simulation ◽  
Collective Communications

In distributed computing, the collective communications scheduling is among the most important scheduling problems related to intensive applications executed over heterogeneous platforms. The optimization of collective operations allows the improvement of parallel and distributed applications performance by reducing the completion time of these operations. In this paper, the authors are particularly interested by the optimization of broadcast operation executed over large scale distributed environment such as grid computing. For this aim, we combined the two levels approach implemented in MagPIe library proposed for the hierarchical large scale systems with the ECEF (Earliest Completion Edge First) heuristic proposed for the IPG (Information Power Grid). Simulation results show the advantage of our proposed hybrid strategy compared to the classical ECEF heuristic.

Dynamic Dependent Tasks Assignment for Grid Computing

2011 ◽  
Vol 3 (2) ◽  
pp. 44-58 ◽  
Author(s):  
Meriem Meddeber ◽  
Belabbas Yagoubi
Keyword(s):  
Resource Management ◽  
Grid Computing ◽  
Large Scale ◽  
Task Assignment ◽  
Considerable Effect ◽  
Distributed Applications ◽  
Grid Middleware ◽  
Assignment Strategy ◽  
Transfer Cost ◽  
Dependent Tasks

A computational grid is a widespread computing environment that provides huge computational power for large-scale distributed applications. One of the most important issues in such an environment is resource management. Task assignment as a part of resource management has a considerable effect on the grid middleware performance. In grid computing, task execution time is dependent on the machine to which it is assigned, and task precedence constraints are represented by a directed acyclic graph. This paper proposes a hybrid assignment strategy of dependent tasks in Grids which integrate static and dynamic assignment technologies. Grid computing is considered a set of clusters formed by a set of computing elements and a cluster manager. The main objective is to arrive at a method of task assignment that could achieve minimum response time and reduce the transfer cost, inducing by the tasks transfer respecting the dependency constraints.

scholarly journals Massively multi-user online platform for large-scale applications

2021 ◽  
Author(s):  
Allen Yen-Cheng Yu
Keyword(s):  
Grid Computing ◽  
High Performance ◽  
Large Scale ◽  
Distributed Applications ◽  
Service Architecture ◽  
Online Application ◽  
Online Platform ◽  
Massively Multiplayer Online Game ◽  
And Performance

Many large-scale online applications enable thousands of users to access their services simultaneously. However, the overall service quality of an online application usually degrades when the number of users increases because, traditionally, centralized server architecture does not scale well. In order to provide better Quality of Service (QoS), service architecture such as Grid computing can be used. This type of architecture offers service scalability by utilizing heterogeneous hardware resources. In this thesis, a novel design of Grid computing middleware, Massively Multi-user Online Platform (MMOP), which integrates the Peer-to-Peer (P2P) structured overlays, is proposed. The objectives of this proposed design are to offer scalability and system design flexibility, simplify development processes of distributed applications, and improve QoS by following specified policy rules. A Massively Multiplayer Online Game (MMOG) has been created to validate the functionality and performance of MMOP. The simulation results have demonstrated that MMOP is a high performance and scalable servicing and computing middleware.

scholarly journals Massively multi-user online platform for large-scale applications

2021 ◽  
Author(s):  
Allen Yen-Cheng Yu
Keyword(s):  
Grid Computing ◽  
High Performance ◽  
Large Scale ◽  
Distributed Applications ◽  
Service Architecture ◽  
Online Application ◽  
Online Platform ◽  
Massively Multiplayer Online Game ◽  
And Performance

Many large-scale online applications enable thousands of users to access their services simultaneously. However, the overall service quality of an online application usually degrades when the number of users increases because, traditionally, centralized server architecture does not scale well. In order to provide better Quality of Service (QoS), service architecture such as Grid computing can be used. This type of architecture offers service scalability by utilizing heterogeneous hardware resources. In this thesis, a novel design of Grid computing middleware, Massively Multi-user Online Platform (MMOP), which integrates the Peer-to-Peer (P2P) structured overlays, is proposed. The objectives of this proposed design are to offer scalability and system design flexibility, simplify development processes of distributed applications, and improve QoS by following specified policy rules. A Massively Multiplayer Online Game (MMOG) has been created to validate the functionality and performance of MMOP. The simulation results have demonstrated that MMOP is a high performance and scalable servicing and computing middleware.

Prototype Design of Decision Supports for GRID Clearinghouse Service Framework

2008 ◽  
Vol 12 (6) ◽  
pp. 523-528
Author(s):  
Johannes K. Chiang ◽  
◽  
Kiekang Chao
Keyword(s):  
Grid Computing ◽  
Resource Sharing ◽  
Large Scale ◽  
Critical Issue ◽  
Trading Behavior ◽  
Distributed Environment ◽  
Service Architecture ◽  
New Business ◽  
Service Data ◽  
Prototype Design

Grid Computing, as an emerging technology, facilitates computer resource sharing, distribution over the Internet. Large-scale collaboration and engineering development for GRID Computing has been engaged world wide. The vigorous momentum of the technology has captured great business attention. The resources management in such large-scale distributed environment becomes a great challenge, and will be the critical issue before GRID deployed into commercial operation while resource allocation and use need to be properly managed in realistic and economic justification. This study aims to elaborate a new business model regarding service trading and billing. The Grid Architecture for Computational Economy (GRACE) framework can be the fundamental framework which reveals resource trading behavior. This paper explored the resource trading models and the way to integrate them into a uniform computing environment. Thereby the concepts and Architecture is to be investigated and extended with Economic Service Architecture (ESA). Last but not least, this paper carries out necessary Service Interfaces and Service Data Entities.

Dynamic Dependent Tasks Assignment for Grid Computing

2013 ◽  
pp. 58-73
Author(s):  
Meriem Meddeber ◽  
Belabbas Yagoubi
Keyword(s):  
Resource Management ◽  
Grid Computing ◽  
Large Scale ◽  
Task Assignment ◽  
Considerable Effect ◽  
Distributed Applications ◽  
Grid Middleware ◽  
Assignment Strategy ◽  
Transfer Cost ◽  
Dependent Tasks

A computational grid is a widespread computing environment that provides huge computational power for large-scale distributed applications. One of the most important issues in such an environment is resource management. Task assignment as a part of resource management has a considerable effect on the grid middleware performance. In grid computing, task execution time is dependent on the machine to which it is assigned, and task precedence constraints are represented by a directed acyclic graph. This paper proposes a hybrid assignment strategy of dependent tasks in Grids which integrate static and dynamic assignment technologies. Grid computing is considered a set of clusters formed by a set of computing elements and a cluster manager. The main objective is to arrive at a method of task assignment that could achieve minimum response time and reduce the transfer cost, inducing by the tasks transfer respecting the dependency constraints.

Dynamic Dependent Tasks Assignment for Grid Computing

2012 ◽  
pp. 551-565
Author(s):  
Meriem Meddeber ◽  
Belabbas Yagoubi
Keyword(s):  
Resource Management ◽  
Grid Computing ◽  
Large Scale ◽  
Task Assignment ◽  
Considerable Effect ◽  
Distributed Applications ◽  
Grid Middleware ◽  
Assignment Strategy ◽  
Transfer Cost ◽  
Dependent Tasks

A computational grid is a widespread computing environment that provides huge computational power for large-scale distributed applications. One of the most important issues in such an environment is resource management. Task assignment as a part of resource management has a considerable effect on the grid middleware performance. In grid computing, task execution time is dependent on the machine to which it is assigned, and task precedence constraints are represented by a directed acyclic graph. This paper proposes a hybrid assignment strategy of dependent tasks in Grids which integrate static and dynamic assignment technologies. Grid computing is considered a set of clusters formed by a set of computing elements and a cluster manager. The main objective is to arrive at a method of task assignment that could achieve minimum response time and reduce the transfer cost, inducing by the tasks transfer respecting the dependency constraints.

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