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

Abstract

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.

A Classification Taxonomy for Reputation and Trust Systems Applied to Virtual Organizations

“…The most used network model is the centralized, showing that the reputation or trust system application in VO has been performed in a centralized way, unlike other environments such as P2P networks. In some cases, such as [5,8,11,23,[30][31][32], it was not possible to identify the network model, due to some works are classified as trust models.…”

“…Through the analyzed articles in the systematic review [2,4,5,7,8,11,[17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], and the review articles [1,6,[13][14][15]33] that presented classification characteristics for reputation and trust system in general, a taxonomy was designed to classify and compare the works that are applied in Virtual Organization's context.…”

“…A significant and decisive differential for VO's is the use of resources made available by the information and communication technologies [39]. Therefore, at using these resources, the VO's application characteristic aims to classify the articles that apply the reputation or trust in the context which uses cloud computing [8,30,31] or grid computing [4,23] resources. Finally, in order to apply the proposed taxonomy, the Section 5 presents a comparative table using the proposed taxonomy and the obtained results.…”

Uma Revisão Sistemática sobre Abordagens em Organizações Virtuais no Contexto de Confiança, Reputação e Computação em Nuvem

“…Mashayekhy e Grosu [47] apresentam um framework para a criação de OVs utilizando a reputação dos provedores de serviço de grid, para a composição da OV, em que o valor de reputação é calculado com base no histórico de comportamentos desse provedor. Papaioannou e Stamoulis [48] apresentam um sistema de reputação que usa como métrica de reputação o desempenho individual de cada agente em uma OV baseada em grid. Hadjichristofi e Fugini [49] também desenvolvem e aplicam um sistema de reputação para selecionar de forma dinâmica os nós (usuários) que apresentam uma maior reputação, com o propósito de compor a OV e iniciar o processo de colaboração.…”

Trust in collaborative web applications

“…The need for grid-trust has been acknowledged by [31]. Papaioannou and Stamoulis [51] observe that it is not easy to decompose the individual contributions that form such collaborative efforts. Thus, it is difficult to identify free-riding or low-performing agents in a collaborative grid environment.…”