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3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks

Research Article

Engineering pricing incentives for efficient bandwidth utilization in LambdaGrids

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/1185373.1185411,
        author={Sumit  Naiksatam  and  Stephen A. Chiappari  and  Silvia  Figueira },
        title={Engineering pricing incentives for efficient bandwidth utilization in LambdaGrids},
        proceedings={3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks},
        publisher={ACM},
        proceedings_a={QSHINE},
        year={2006},
        month={8},
        keywords={},
        doi={10.1145/1185373.1185411}
    }
    
  • Sumit Naiksatam
    Stephen A. Chiappari
    Silvia Figueira
    Year: 2006
    Engineering pricing incentives for efficient bandwidth utilization in LambdaGrids
    QSHINE
    ACM
    DOI: 10.1145/1185373.1185411
Sumit Naiksatam 1, Stephen A. Chiappari 1, Silvia Figueira 1
  • 1: Santa Clara University, Santa Clara, CA

Abstract

The ability to reserve network bandwidth is a critical factor for the success of high-performance grid applications. Reservation of lightpaths in dynamically switched optical networks facilitates guaranteed bandwidth. However, reservation of bandwidth can often lead to bandwidth fragmentation which significantly reduces system utilization and increases the blocking probability of requests. An interesting approach to mitigating this problem is to induce quasi-flexibility in the user requests. A smart scheduling strategy can then exploit this quasi-flexibility and optimize bandwidth utilization. However, there has to be an incentive for flexibility from the user's perspective as well. In this paper, we explore how the Network Service Provider (NSP) can influence user flexibility by dynamically engineering pricing incentives. Ultimately, user flexibility will lead to efficient network utilization, reduce the price for the users, and increase the revenue for the NSP.

Published
2006-08-09
Publisher
ACM
http://dx.doi.org/10.1145/1185373.1185411
Copyright © 2006–2025 ACM
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