ویراساینس.
سند علمی

The impact of data replication on job scheduling performance in the Data Grid

Ming Tang, Bu-Sung Lee, Xueyan Tang, Chai Kiat Yeo

چکیده

In the Data Grid environment, the primary goal of data replication is to shorten the data access time experienced by the job and consequently reduce the job turnaround time. After introducing a Data Grid architecture that supports efficient data access for the Grid job, the dynamic data replication algorithms are put forward. Combined with different Grid scheduling heuristics, the performances of the data replication algorithms are evaluated with various simulations. The simulation results demonstrate that the dynamic replication algorithms can reduce the job turnaround time remarkably. In particular, the combination of shortest turnaround time scheduling heuristic (STT) and centralized dynamic replication with response-time oriented replica placement (CDR RTPlace) exhibits remarkable performance in diverse system environments and job workloads. © 2005 Elsevier B.V. All rights reserved.

اسناد مشابه

  • The Impact of Data Replicatino on Job Scheduling Performance in Hierarchical data Grid

    سند علمی۲۰۱۰CoRRSomayeh Abdi, Hossein Pedram, Somayeh Mohamadi

    In data-intensive applications data transfer is a primary cause of job execution delay. Data access time depends on bandwidth. The major bottleneck to supporting fast data access in Grids is the high latencies of Wide Area Networks and Internet. Effective scheduling can reduce th

  • Fuzzy Logic Based Job Scheduling In Computational Grid with Minimum Communication and Replication Cost

    سند علمی۲۰۱۴Deepa N K, L M Nithya

    Grid computing allows sharing and coordinated use of diverse resources in dynamic distributed virtual organizations. The objective is to best scheduling of tasks which attain maximum resource utilization, minimum response time and a well-balanced load across all the resources inv

  • Survey on Job Scheduling Mechanisms in Grid Environment

    سند علمی۲۰۱۵Argungu S. M, Suki Arif, Mohd. Hasbullah Omar

    Grid systems provide geographically distributed resources for both computational intensive and data-intensive applications. These applications generate large data sets. However, the high latency imposed by the underlying technologies; upon which the grid system is built (such as

  • Job Scheduling for Computational Grids

    سند علمی۲۰۰۶Carsten Franke, Ramin Yahyapour

    Grid computing is a method to execute computational jobs requiring a significant amount of computing resources and/or large sets of data. Contrary to large heterogeneous distributed systems, a Computational Grid has many independent resource providers with different access polici

  • Representing Job Scheduling for Volunteer Grid En- vironment using Online Container Stowage

    سند علمی۲۰۱۷Saddaf Rubab, Mohd Fadzil Hassan, Ahmad Kamil Mahmood, Syed Nasir Mehmood Shah

    Volunteer grid computing comprises of volunteer resources which are unpredictable in nature and as such the scheduling of jobs among these resources could be very uncertain. It is also difficult to ensure the successful completion of submitted jobs on volunteer resources as these

  • Grouping-Based Job Scheduling Model In Grid Computing

    سند علمی۲۰۱۲Vishnu Kant Soni, Raksha Sharma, Manoj Kumar Mishra

    Grid computing is a high performance computing environment to solve larger scale computational applications. Grid computing contains resource management, job scheduling, security problems, information management and so on. Job scheduling is a fundamental and important issue in ac