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Approximation Algorithms for the Job Interval Selection Problem and Related Scheduling Problems (2001)  (Make Corrections)  (5 citations)
Julia Chuzhoy, Rafail Ostrovsky, et al.
IEEE Symposium on Foundations of Computer Science



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Abstract: In this paper we consider the job interval selection problem (JISP), a simple scheduling model with a rich history and numerous applications. Special cases of this problem include the so-called real-time scheduling problem (also known as the throughput maximization problem) in single and multiple machine environments. In these special cases we have to maximize the number of jobs scheduled between their release date and deadline (preemption is not allowed). Even the single machine case is... (Update)

Context of citations to this paper:   More

.... Work Maximizing the throughput in real time scheduling without batching was studied extensively in [S 99, BB 00, BD 00, BG 01, COR 01] All of these papers focused on the case where jobs specify more than one time interval in which they can be performed (in either a...

...ratio #(m) for WJISPm . These algorithms do not belong to the class of single pass algorithms. For the case of JISP, Chuzhoy et al. [8] improved the known ratios further and showed that for every # 0, there is a randomized approximation algorithm with ratio e (e 1)...

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BibTeX entry:   (Update)

J. Chuzhoy, R. Ostrovsky, and Y. Rabani. "Approximation Algorithms for the Job Interval Selection Problem and Related Scheduling Problems." In FOCS '01. http://citeseer.ist.psu.edu/chuzhoy01approximation.html   More

@inproceedings{ chuzhoy01approximation,
    author = "Julia Chuzhoy and Rafail Ostrovsky and Yuval Rabani",
    title = "Approximation Algorithms for the Job Interval Selection Problem and Related Scheduling Problems",
    booktitle = "{IEEE} Symposium on Foundations of Computer Science",
    pages = "348-356",
    year = "2001",
    url = "citeseer.ist.psu.edu/chuzhoy01approximation.html" }
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