scholarly journals Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications

2006 ◽  
Author(s):  
Yuya Machida ◽  
Shin'ichiro Takizawa ◽  
Hidemoto Nakada ◽  
Satoshi Matsuoka
Keyword(s):  
Data Intensive ◽  
Grid Applications

A data intensive distributed computing architecture for “Grid” applications

2000 ◽  
Vol 16 (5) ◽  
pp. 473-481 ◽  
Author(s):  
Brian Tierney ◽  
William Johnston ◽  
Jason Lee ◽  
Mary Thompson
Keyword(s):  
Distributed Computing ◽  
Computing Architecture ◽  
Data Intensive ◽  
Grid Applications

Speculative Scheduling of Parameter Sweep Applications using Job Behaviour Descriptions

2011 ◽  
pp. 72-89
Author(s):  
Attila Ulbert ◽  
László Csaba Lorincz ◽  
Tamás Kozsik ◽  
Zoltán Horváth
Keyword(s):  
Decision Procedure ◽  
Job Scheduling ◽  
Data Migration ◽  
Job Descriptions ◽  
Job Description ◽  
Data Intensive ◽  
Grid Middleware ◽  
Grid Applications ◽  
Access Information ◽  
Completion Times

The execution of data intensive Grid applications raises several questions regarding job scheduling, data migration, and replication. This paper presents new scheduling algorithms using more sophisticated job behaviour descriptions that allow estimating job completion times more precisely thus improving scheduling decisions. Three approaches of providing input to the decision procedure are discussed: a) single job description, b) multiple job descriptions, and c) multiple job descriptions with mutation. The proposed Grid middleware components (1) monitor the execution of jobs and gather resource access information, (2) analyse the compiled information and generate a description of the behaviour of the job, (3) refine the already existing job description, and (4) use the refined behaviour description to schedule the submitted jobs.

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