A Utility-Based Reputation Model for Service-Oriented Computing

Silaghi, Gheorghe Cosmin; Arenas, Alvaro; Silva, Luís Moura

doi:10.1007/978-0-387-72498-0_6

Cited by 30 publications

(24 citation statements)

References 7 publications

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“…This is relevant only to the providers risk assessment rather than that performed in the broker layer by the confidence service. Research in [18] attempts to address the same underlying requirement as the AssessGrid broker exists, but uses a broker based reputation model utilising end-user feedback. The approach in [18] differs significantly by its use of enduser supplied feedback on the provider after service consumption.…”

Section: Related Workmentioning

confidence: 99%

“…Research in [18] attempts to address the same underlying requirement as the AssessGrid broker exists, but uses a broker based reputation model utilising end-user feedback. The approach in [18] differs significantly by its use of enduser supplied feedback on the provider after service consumption. The consistency of the feedback received is likely to be widely spread, given the subjectivity of the responses between end-users.…”

Section: Related Workmentioning

confidence: 99%

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Risk-Aware SLA Brokering Using WS-Agreement

Padgett

Djemame

Gourlay

et al. 2009

2009 International Conference on Advanced Information Networking and Applications Workshops

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Service Level Agreements (SLAs) are facilitators for widening the commercial uptake of Grid technology. They provide explicit statements of expectation and obligation between service consumers and providers. However, without the ability to assess the probability that an SLA might fail, commercial uptake will be restricted, since neither party will be willing to agree. Therefore, risk assessment mechanisms are critical to increase confidence in Grid technology usage within the commercial sector. This paper presents an SLA brokering mechanism including risk assessment techniques which evaluate the probability of SLA failure. WS-Agreement and risk metrics are used to facilitate SLA creation between service consumers and providers within a typical Grid resource usage scenario.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Risk-Aware SLA Brokering Using WS-Agreement

Padgett

Djemame

Gourlay

et al. 2009

2009 International Conference on Advanced Information Networking and Applications Workshops

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“…Silaghi et al [22] discuss the use of reputation to schedule the execution of distributed jobs. The authors propose some generic functions to measure the reputation values of service providers and the values of issues of interest.…”

Section: Reputation Elections and Task Schedulingmentioning

confidence: 99%

Elections and Reputation for High Dependability and Performance in Distributed Workload Execution

Costa

Furtado

2015

IEEE Trans. Parallel Distrib. Syst.

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Reputation systems use historical information about a service as the basis to predict its future behavior. In this work, we present a reputation-based task scheduling strategy for distributed database systems, which efficiently schedules workloads composed (or not) by best-effort oriented tasks and by tasks that have execution-related constraints. Available data services may participate in an election to choose the service that would execute each task. During task scheduling, each candidate service commits itself to satisfy some requirements or to finish a task execution by a certain time, depending on the task's execution objective.In order to achieve high performance while still satisfying specified requirements, the election mechanism combines two reputation models: one classifies candidate services over their dependability (qualitative perspective), while the other is used to build expectations on a tasks execution time (quantitative perspective). Candidate classification mechanisms, recall elections and reelections rules are used to prevent performance or dependability degradation by the presence of malicious or erroneous services.We evaluated proposed strategies over widely used real-world DBMS (Oracle 11g and Microsoft SQL Server) using benchmark data and queries. Obtained results prove that the proposed scheduling mechanism leads to a highly dependable and efficient system even in the presence of malicious or erroneous data services.

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“…The focus of our work in Sections 4-6 is to show how reputation can be exploited in this context. Also, the prediction of the future individual performance of agents based on distributed monitoring of resource consumption is performed in [8], [21]. However, this approach cannot be employed in environments where the monitoring information may be manipulated by malicious agents.…”

Section: Information Asymmetry In Gridsmentioning

confidence: 99%

“…Previous works applying reputation in grids are based either on user's rating of the agent's individual performance [6], [7], or on event monitoring the deviation of the actual agent's individual performance from the promised one [8]. Also, the approach in [9] calculates indirect reputation based on Resource Usage Records (RUR) [10] and decreases reputation in their absense.…”

Section: Background and Related Workmentioning

confidence: 99%

Reputation-based estimation of individual performance in collaborative and competitive grids

Papaioannou

Stamoulis

2010

Future Generation Computer Systems

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Hidden information is a critical issue for the successful delivery of services in grid systems. It arises when the agents (hardware and software resources) employed to serve a task belong to multiple administrative domains, thus rendering monitoring of remote resource provision absent or unreliable. Therefore, the grid service broker can often observe only the outcome of the collective effort of groups of agents rather than their individual efforts, which makes it hard to identify cases of free-riding or low-performing agents. In this paper, we first identify cases of hidden information in grid systems and explain why they cannot be handled satisfactorily by the existing accounting systems. Second, we develop and evaluate a reputation-based mechanism enabling the grid service broker to deal effectively with hidden information. Our mechanism maintains a reputation metric for each agent; we propose and evaluate several approaches on how to update this metric based only on the observations of collective outcomes. We also provide recommendation on which such approach is preferable for a grid service broker in collaborative or competitive environments.

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A Utility-Based Reputation Model for Service-Oriented Computing

Cited by 30 publications

References 7 publications

Risk-Aware SLA Brokering Using WS-Agreement

Risk-Aware SLA Brokering Using WS-Agreement

Elections and Reputation for High Dependability and Performance in Distributed Workload Execution

Reputation-based estimation of individual performance in collaborative and competitive grids

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