Applying “Peeling Onion” approach for competitive analysis in online scheduling with rejection

2021 ◽  
Vol 290 (1) ◽  
pp. 57-67
Author(s):  
Ran Ma ◽  
Sainan Guo
Keyword(s):  
Competitive Analysis ◽  
Online Scheduling ◽  
Scheduling With Rejection

scholarly journals Online scheduling with rejection and withdrawal

2011 ◽  
Vol 412 (48) ◽  
pp. 6666-6674 ◽  
Author(s):  
Leah Epstein ◽  
Hanan Zebedat-Haider
Keyword(s):  
Online Scheduling ◽  
Scheduling With Rejection

scholarly journals Efficient Mechanism Design for Online Scheduling

2016 ◽  
Vol 56 ◽  
pp. 429-461 ◽  
Author(s):  
Xujin Chen ◽  
Xiaodong Hu ◽  
Tie-Yan Liu ◽  
Weidong Ma ◽  
Tao Qin ◽  
...  
Keyword(s):  
Social Welfare ◽  
Mechanism Design ◽  
Lower Bounds ◽  
Competitive Analysis ◽  
Competitive Ratio ◽  
Online Scheduling ◽  
Constant Factor ◽  
Release Time ◽  
Incentive Compatible ◽  
Unequal Length

This 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. We then propose a deterministic IC mechanism and show that such a simple mechanism works very well for both the preemption-restart model and the preemption-resume model. We show the mechanism can achieve the optimal competitive ratio of 5 for equal-length jobs and a near optimal competitive ratio (within a constant factor) for unequal-length jobs.

Multi-agent reinforcement learning for online scheduling in smart factories

2021 ◽  
Vol 72 ◽  
pp. 102202
Author(s):  
Tong Zhou ◽  
Dunbing Tang ◽  
Haihua Zhu ◽  
Zequn Zhang
Keyword(s):  
Reinforcement Learning ◽  
Online Scheduling ◽  
Multi Agent ◽  
Smart Factories
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