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Efficient Mechanism Design for Online Scheduling
Chen, Xujin1; Hu, Xiaodong1; Liu, Tie-Yan2; Ma, Weidong2; Qin, Tao2; Tang, Pingzhong3; Wang, Changjun4; Zheng, Bo3
AbstractThis paper concerns the mechanism design for online scheduling in a strategic setting. In this setting, each job is owned by a self-interested agent who may misreport the release time, deadline, length, and value of her job, while we need to determine not only the schedule of the jobs, but also the payment of each agent. We focus on the design of incentive compatible (IC) mechanisms, and study the maximization of social welfare (i.e., the aggregated value of completed jobs) by competitive analysis. We first derive two lower bounds on the competitive ratio of any deterministic IC mechanism to characterize the landscape of our research: one bound is 5, which holds for equal-length jobs; the other bound is kappa/In kappa + -o(1), which holds for unequal-length jobs, where kappa is the maximum ratio between lengths of any two jobs. We then propose a deterministic IC mechanism and show that such a simple mechanism works very well for two models: (1) In the preemption-restart model, the mechanism can achieve the optimal competitive ratio of 5 for equal-length jobs and a near optimal ratio of (1/(1-epsilon)(2) + o(1)) kappa/In kappa for unequal-length jobs, where 0 < epsilon < 1 is a small constant; (2) In the preemption-resume model, the mechanism can achieve the optimal competitive ratio of 5 for equal-length jobs and a near optimal competitive ratio (within factor 2) for unequal-length jobs.
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000396193800001
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Document Type期刊论文
Corresponding AuthorChen, Xujin
Affiliation1.Chinese Acad Sci, AMSS, Beijing, Peoples R China
2.Microsoft Res, Beijing, Peoples R China
3.Tsinghua Univ, Beijing, Peoples R China
4.Beijing Univ Technol, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Chen, Xujin,Hu, Xiaodong,Liu, Tie-Yan,et al. Efficient Mechanism Design for Online Scheduling[J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH,2016,56:429-461.
APA Chen, Xujin.,Hu, Xiaodong.,Liu, Tie-Yan.,Ma, Weidong.,Qin, Tao.,...&Zheng, Bo.(2016).Efficient Mechanism Design for Online Scheduling.JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH,56,429-461.
MLA Chen, Xujin,et al."Efficient Mechanism Design for Online Scheduling".JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH 56(2016):429-461.
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