NDLI: Optimal multi-installments algorithm for divisible load scheduling

Content Provider	IEEE Xplore Digital Library
Author	Shang Mingsheng Sun Shixin
Copyright Year	2005
Description	Author affiliation: Sch. of Comput. Sci. & Eng., China Univ. of Electron. Sci. & Technol., Chengdu (Shang Mingsheng; Sun Shixin)
Abstract	In this paper, we study optimal algorithms for scheduling divisible load on a star network in multi-installments, with the objective to minimize the processing time. Firstly, we consider approach based on linear programming. We found that optimal load sizes of each installment are determined by the number of processor and the rate of processor power to the communication speed. If the number of processor is given, we derive the optimal installments. And for achieving optimal processing time it is preferable to use more processors rather than more installments. Next, we consider optimal parameters of periodic multi-installment algorithm. For a given computation system, we derive the analytic expression of optimal installments. We further prove that, for large-scale workloads, any algorithm which keeps the communication link busy is asymptotically optimal, which gives a way to determine how many processors should be involved in processing
Starting Page	6
Ending Page	462
File Size	226926
Page Count	457
File Format	PDF
ISBN	0769524869
DOI	10.1109/HPCASIA.2005.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scheduling algorithm Processor scheduling Large-scale systems Linear programming Load modeling Sun Computer science Cost function Distributed computing Memory management optimal installments. divisible loads theory start-up costs multi-installment scheduling periodic scheduling processor selecting
Content Type	Text
Resource Type	Article

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