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Online mechanism design for scheduling non-preemptive jobs under uncertain supply and demand

Online mechanism design for scheduling non-preemptive jobs under uncertain supply and demand
Online mechanism design for scheduling non-preemptive jobs under uncertain supply and demand
We design new algorithms for the problem of allocating uncertain flexible, and multi-unit demand online given uncertain supply, in order to maximise social welfare. The algorithms can be seen as extensions of the expectation and consensus algorithms from the domain of online scheduling. The problem is especially relevant to the future smart grid, where uncertain output from renewable generators and conventional supply need to be integrated and matched to flexible, non-preemptive demand. To deal with uncertain supply and demand, the algorithms generate multiple scenarios which can then be solved offline. Furthermore, we use a novel method of reweighting the scenarios based on their likelihood whenever new information about supply becomes available. An additional improvement allows the selection of multiple non-preemptive jobs at the same time. Finally, our main contribution is a novel online mechanism based on these extensions, where it is in the agents' best interest to truthfully reveal their preferences. The experimental evaluation of the extended algorithms and different variants of the mechanism show that both achieve more than 85% of the offline optimal economic efficiency. Importantly, the mechanism yields comparable efficiency, while, in contrast to the algorithms, it allows for strategic agents.
437-444
ACM
Ströhle, Philipp
76fd7621-4a40-4164-a173-3aaee0b6e626
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
de Weerdt, Mathijs
2036d48e-e5b5-4d30-b5e5-af238eebf6ef
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Robu, Valentin
36b30550-208e-48d4-8f0e-8ff6976cf566
Lomuscio, Alessio
Scerri, Paul
Bazzan, Ana
Huhns, Michael
Ströhle, Philipp
76fd7621-4a40-4164-a173-3aaee0b6e626
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
de Weerdt, Mathijs
2036d48e-e5b5-4d30-b5e5-af238eebf6ef
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Robu, Valentin
36b30550-208e-48d4-8f0e-8ff6976cf566
Lomuscio, Alessio
Scerri, Paul
Bazzan, Ana
Huhns, Michael

Ströhle, Philipp, Gerding, Enrico, de Weerdt, Mathijs, Stein, Sebastian and Robu, Valentin (2014) Online mechanism design for scheduling non-preemptive jobs under uncertain supply and demand. Lomuscio, Alessio, Scerri, Paul, Bazzan, Ana and Huhns, Michael (eds.) In AAMAS '14 Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems. ACM. pp. 437-444 .

Record type: Conference or Workshop Item (Paper)

Abstract

We design new algorithms for the problem of allocating uncertain flexible, and multi-unit demand online given uncertain supply, in order to maximise social welfare. The algorithms can be seen as extensions of the expectation and consensus algorithms from the domain of online scheduling. The problem is especially relevant to the future smart grid, where uncertain output from renewable generators and conventional supply need to be integrated and matched to flexible, non-preemptive demand. To deal with uncertain supply and demand, the algorithms generate multiple scenarios which can then be solved offline. Furthermore, we use a novel method of reweighting the scenarios based on their likelihood whenever new information about supply becomes available. An additional improvement allows the selection of multiple non-preemptive jobs at the same time. Finally, our main contribution is a novel online mechanism based on these extensions, where it is in the agents' best interest to truthfully reveal their preferences. The experimental evaluation of the extended algorithms and different variants of the mechanism show that both achieve more than 85% of the offline optimal economic efficiency. Importantly, the mechanism yields comparable efficiency, while, in contrast to the algorithms, it allows for strategic agents.

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aamas2014 - Author's Original
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More information

e-pub ahead of print date: 5 May 2014
Published date: 5 May 2014
Venue - Dates: 13th International Conference on Autonomous Agents and Multi-Agent Systems, Paris, France, 2014-05-05 - 2014-05-09
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 360737
URI: https://eprints.soton.ac.uk/id/eprint/360737
PURE UUID: 0dddeccb-f264-43b0-9a82-b30d3bf5bfde
ORCID for Enrico Gerding: ORCID iD orcid.org/0000-0001-7200-552X

Catalogue record

Date deposited: 19 Dec 2013 17:39
Last modified: 12 Nov 2019 01:47

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Contributors

Author: Philipp Ströhle
Author: Enrico Gerding ORCID iD
Author: Mathijs de Weerdt
Author: Sebastian Stein
Author: Valentin Robu
Editor: Alessio Lomuscio
Editor: Paul Scerri
Editor: Ana Bazzan
Editor: Michael Huhns

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