Performance evaluation of market‐based resource allocation for Grid computing

Gomoluch, Jacek; Schroeder, Michael

doi:10.1002/cpe.826

Cited by 14 publications

(12 citation statements)

References 4 publications

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“…In grid computing, QoS requirement is a multi-facet issue, which involves CPU, bandwidth, and data resource services (Gommans et al 2003). To improve QoS for grid network services, grid resource pricing has been an important approach (Abramson 2002;Gomoluch and Schroeder 2004;Lin and Lin 2004). Buyya et al (2001) treat a grid network as a computing power market; CPU services then become products and are traded in the grid market.…”

Section: Relevant Literaturementioning

confidence: 99%

Usage-based dynamic pricing of Web services for optimizing resource allocation

Lin

Ramanathan

Zhao

2005

ISeB

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Web services technology is becoming an important technological trend in Web application development and integration. Based on open standards, such as SOAP, WSDL, and UDDI, Web services allow Webbased applications to communicate with each other through standardized XML messaging and to form loosely coupled distributed systems. Although the open feature of Web services benefits service providers in servicing consumers, the unlimited computing resources access of Web services to network bandwidth, storage throughput, and CPU time may lead to overexploitation of the resources when applications based on the Web services technology are widely accepted. Therefore, it is critical to optimize the operation of Web services, subject to the QoS requirements of service requests, to assure the total benefits of the service providers and the service consumers. This paper proposes a usage-based dynamic pricing approach to optimizing resource allocation of Web services in the principle of economics, and reports on a pilot implementation demonstrating the technical feasibility of the proposed approach.

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Section: Relevant Literaturementioning

confidence: 99%

Usage-based dynamic pricing of Web services for optimizing resource allocation

Lin

Ramanathan

Zhao

2005

ISeB

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“…Gomoluch, et al, [15] examined scenarios which outperform a traditional round-robin technique obtained through marketbased resource allocation with continuous double auctions and proportional share procedure, equally. A model is developed for servers, clients and the market and simulation results discussed.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Weighted Round Robin Grid Scheduling

Krishnamoorthy¹,

Asokan²,

Sangeetha³

2013

IJCA

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Grid systems interconnect heterogeneous and geographically distributed resources to form a network which satisfy user's needs. Resource Management is its central component and involves managing system resources. It is responsible for accepting user's requests and matching it to available resources which can be accessed by the user. Schedulers are applications which manage jobs including allocating resources for specific jobs. When there are many processes in a queue, the order in which jobs are executed is decided by a scheduling algorithm. This paper proposes and investigates the performance of varied task execution for proposed weighted round robin scheduling algorithm. Simulations evaluate the proposed method's performance and results demonstrate that the proposed method performs satisfactorily.

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“…Gomoluch, et al, [15] examined the scenarios that outperform a traditional round-robin technique which is obtained by market-based resource allocation with continuous double auctions and with the proportional share procedure, equally. For servers, clients and the market, a model is developed and the simulation results are discussed.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Grid using Random Scheduling

KumarE¹,

Sumathi²

2012

IJCA

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The idea behind Grid is seamless, transparent supply of computing and data resources over the Internet when required to end users. The resource management system is the central component of a Grid system. Its basic responsibilities include accepting requests from users, matching user requests to available resources for which the user has permission to use and scheduling the matched resources. Various scheduling algorithms have been proposed in the literature. In this paper, it is proposed to evaluate the performance of one of the popular grid scheduling algorithms -Random scheduling for various scenarios.

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Performance evaluation of market‐based resource allocation for Grid computing

Cited by 14 publications

References 4 publications

Usage-based dynamic pricing of Web services for optimizing resource allocation

Usage-based dynamic pricing of Web services for optimizing resource allocation

Performance Evaluation of Weighted Round Robin Grid Scheduling

Performance Evaluation of Grid using Random Scheduling

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