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An optimal lower bound for anonymous scheduling mechanisms
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Electronic Commerce archive
Proceedings of the tenth ACM conference on Electronic commerce table of contents
Stanford, California, USA
SESSION: Session 5 table of contents
Pages 169-176  
Year of Publication: 2009
ISBN:978-1-60558-458-4
Authors
Itai Ashlagi  Harvard, Cambridge, MA, USA
Shahar Dobzinski  Hebrew University, Jerusalem, Israel
Ron Lavi  Technion, Haifa, Israel
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

We consider the problem of designing truthful mechanisms to minimize the makespan on m unrelated machines. In their seminal paper, Nisan and Ronen [14] showed a lower bound of 2, and an upper bound of m, thus leaving a large gap. They conjectured that their upper bound is tight, but were unable to prove it. Despite many attempts that yield positive results for several special cases, the conjecture is far from being solved: the lower bound was only recently slightly increased to 2.61 [5,10], while the best upper bound remained unchanged.

In this paper we show the optimal lower bound on truthful anonymous mechanisms: no such mechanism can guarantee an approximation ratio better than m. This is the first concrete evidence to the correctness of the Nisan-Ronen conjecture, especially given that the classic scheduling algorithms are anonymous, and all state-of-the-art mechanisms for special cases of the problem are anonymous as well.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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George Christodoulou, Elias Koutsoupias, and Annamária Kovács. Mechanism design for fractional scheduling on unrelated machines. In ICALP'07.
 
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Elias Koutsoupias and Angelina Vidali. A lower bound of 1 phi for truthful scheduling mechanisms. In MFCS'07.
 
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Collaborative Colleagues:
Itai Ashlagi: colleagues
Shahar Dobzinski: colleagues
Ron Lavi: colleagues