NDLI: Workflow scheduling in computational grids: Opportunistic vs. planned

Content Provider	IEEE Xplore Digital Library
Author	Aziz, A. El-Rewini, H.
Copyright Year	2008
Description	Author affiliation: Southern Methodist Univ., Dallas (Aziz, A.; El-Rewini, H.)
Abstract	One of the prime-most issues that is faced by the parallel systems in the past and is inherited by the grid systems of today, is the mapping and the execution of jobs on the available machines. Various scheduling approaches that were suggested in classical parallel systems literature are adopted for the grid systems with appropriate modifications. Although these modifications made them suitable for execution in grid environment, these approaches failed to deliver on the performance front. Dynamic availability of resources, data dependence among the tasks and communication latencies are some of the factors that negatively affected the outcome of these scheduling algorithms. Various grid management systems implemented their custom tailored versions of scheduling algorithms for task execution in the grid. These approaches suffer from various shortcomings such as inefficient utilization of the execution queues and/or failure to cater for the dependencies among the tasks in a job. In this paper, we will compare the two prevalent scheduling models in the grid; opportunistic and planned. Opportunistic model is used in DAGMan for scheduling workflow applications, which in-turn is an integral component of Condor and Condor-G. Planned scheduling, on the other hand, is used by the grid management architectures such as GrADS and MARS.
Starting Page	268
Ending Page	275
File Size	6934632
Page Count	8
File Format	PDF
ISBN	9781424419678
DOI	10.1109/AICCSA.2008.4493545
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	Qatar
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Grid computing Workstations Mars Delay Scheduling algorithm Biology computing Image processing Resource management Computer science
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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