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A generalized bound on LPT sequencing
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Source Joint International Conference on Measurement and Modeling of Computer Systems archive
Proceedings of the 1976 ACM SIGMETRICS conference on Computer performance modeling measurement and evaluation table of contents
Cambridge, Massachusetts, United States
Pages: 306 - 310  
Year of Publication: 1976
Authors
Sponsors
IFIP WG 7.3 : IFIP WG 7.3
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 26,   Citation Count: 2
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ABSTRACT

In this paper we shall generalize Graham's result so as to include a parameter characterizing the number of tasks assigned to processors by the LPT rule. The new result will show that the worst-case performance bound for LPT sequencing approaches unity approximately as 1+1/k, where k is the least number of tasks on any processor, or where k is the number of tasks on a processor whose last task terminates the schedule. Thus, we shall have a result very similar to the parameterized bounds for bin-packing heuristics [JDUGG]. We shall also obtain out of the analysis an alternate proof of Graham's result.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Coffman, E. G., Jr., Computer and Job-Shop Scheduling Theory, John Wiley and Sons, 1975.
 
2
Graham, R. L., "Bounds on Multiprocessor Timing Anomalies," SIAM Journal on Applied Math, 17 (1969), 416-429.
 
3
Johnson, D. S., A. Demers, J. D. Ullman, M. R. Garey and R. L. Graham, "Worst-Case Performance Bounds for Simple One-Dimensional Packing Algorithms," SIAM Journal on Computing, 3 (1974), 299-326.


Collaborative Colleagues:
E. G. Coffman, Jr.: colleagues
Ravi Sethi: colleagues