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Tycoon: An Implementation of a Distributed, Market-based Resource Allocation System”, Multiagent Grid Systems
| Citations: | 116 - 8 self |
BibTeX
@MISC{Lai_tycoon:an,
author = {Kevin Lai and Lars Rasmusson and Eytan Adar and Stephen Sorkin and Li Zhang and Bernardo A. Huberman},
title = {Tycoon: An Implementation of a Distributed, Market-based Resource Allocation System”, Multiagent Grid Systems},
year = {}
}
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Abstract
Distributed clusters like the Grid and PlanetLab enable the same statistical multiplexing efficiency gains for computing as the Internet provides for networking. One major challenge is allocating resources in an economically efficient and low-latency way. A common solution is proportional share, where users each get resources in proportion to their pre-defined weight. However, this does not allow users to differentiate the value of their jobs. This leads to economic inefficiency. In contrast, systems that require reservations impose a high latency (typically minutes to hours) to acquire resources. We present Tycoon, a market based distributed resource allocation system based on proportional share. The key advantages of Tycoon are that it allows users to differentiate the value of their jobs, its resource acquisition latency is limited only by communication delays, and it imposes no manual bidding overhead on users. We present experimental results using a prototype implementation of our design. 1
Keyphrases
multiagent grid system market-based resource allocation system proportional share low-latency way manual bidding overhead pre-defined weight resource acquisition latency economic inefficiency resource allocation system prototype implementation present tycoon communication delay common solution get resource present experimental result high latency statistical multiplexing efficiency gain key advantage major challenge
