A semi on-line algorithm for the partition problem
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E. Girlich
The distribution of jobs in a system with m identical parallel processors which minimises the load of the maximally loaded processor is an NP-hard problem. Many approximate algorithms are developed for this problem, but for the version of the problem where the jobs arrive and must be treated on-line there is no algorithm possessing the guaranteed estimate which is less than 1 + 1/√2 for m ≥ 4 and tends to 1.837 as m → ∞.
In this paper, we consider the version of the problem where jobs arrive one by one and must be treated on-line under the additional condition that the total duration of the jobs is known. For this version of the problem we suggest an algorithm with the guaranteed estimate equal to 5/3.
Copyright 2003, Walter de Gruyter
Articles in the same Issue
- Constantin Constantinovich Mardzhanishvili (to the centenary of the birth)
- Structural equivalence of s-tuples in random discrete sequences
- Limit theorems and testing hypotheses on Markov chains
- On the complexity of unitary transformations
- Inert matrices and matchings in partially oriented trees
- On primitive subgroups of full affine groups of finite semi-fields
- A semi on-line algorithm for the partition problem
- On limit theorems for the generalised allocation scheme
- On the number and structure of sum-free sets in a segment of positive integers
Articles in the same Issue
- Constantin Constantinovich Mardzhanishvili (to the centenary of the birth)
- Structural equivalence of s-tuples in random discrete sequences
- Limit theorems and testing hypotheses on Markov chains
- On the complexity of unitary transformations
- Inert matrices and matchings in partially oriented trees
- On primitive subgroups of full affine groups of finite semi-fields
- A semi on-line algorithm for the partition problem
- On limit theorems for the generalised allocation scheme
- On the number and structure of sum-free sets in a segment of positive integers