2012
DOI: 10.1016/j.future.2011.11.002
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A time-constrained SLA negotiation strategy in competitive computational grids

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Cited by 45 publications
(25 citation statements)
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“…They also take into account the providers' cost which is proportional to the use of physical capacity and time interval. Silaghi et al propose a general framework of SLA negotiation strategy under time constrained in competitive computational grids and build it based on Bayesian learning agent (Silaghi et al, 2012). Their experiments show that opponent learning-based negotiation strategy can achieve optimal resource allocation and fair satisfaction of participants.…”
Section: Game Theory Based Cloud Sla Modelmentioning
confidence: 99%
“…They also take into account the providers' cost which is proportional to the use of physical capacity and time interval. Silaghi et al propose a general framework of SLA negotiation strategy under time constrained in competitive computational grids and build it based on Bayesian learning agent (Silaghi et al, 2012). Their experiments show that opponent learning-based negotiation strategy can achieve optimal resource allocation and fair satisfaction of participants.…”
Section: Game Theory Based Cloud Sla Modelmentioning
confidence: 99%
“…Unluckily, this proposal has only been simulated. A more recent publication [37] considers the use of time-constrained SLAs within Grids in order to improve the negotiation strategy by using a Bayesian learning agent.…”
Section: Service Level Agreementsmentioning
confidence: 99%
“…Alternatively, some proposals push for the QoS differentiation in terms of internal metrics related to the Grid infrastructure defined on SLAs [36,37] (e.g., CPU architecture, amount of RAM, bandwidth, etc.). Our work encompass this terms by defining a high level term that represents the confidence that the users expect from the service.…”
Section: Qos Differentiationmentioning
confidence: 99%
“…However, most of works present non-cooperative approaches. Silaghi et al [14] tackle resource allocation problem in competitive grid. Despite considering a incomplete information game, their approach can infer opponent's utility function and achieve a fair resource allocation.…”
Section: Related Workmentioning
confidence: 99%