STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
A threshold of ln n for approximating set cover
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A note on the complexity of the concurrent open shop problem
Journal of Scheduling
Distributed order scheduling and its application to multi-core dram controllers
Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing
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We consider a relaxed version of the open shop scheduling problem--the "concurrent open shop" scheduling problem, in which any two operations of the same job on distinct machines are allowed to be processed concurrently. The completion time of a job is the maximum completion time of its operations. The objective is to schedule the jobs so as to minimize the weighted number of tardy jobs, with 0-1 operation processing times and a common due date d. We show that, even when the weights are identical, the problem has no (1-ε)ln m-approximation algorithm for any ε 0 if NP is not a subset of DTIME(nlog log n), and has no c ċ ln m-approximation algorithm for some constant c 0 if P ≠ NP, where m is the number of machines. This also implies that the problem is strongly NP-hard. We also give a (1+d)- approximation algorithm for the problem.