Towards Trust-Aware Resource Management in Grid Computing Systems

Azzedin, Farag; Maheswaran, Muthucumaru

doi:10.1109/ccgrid.2002.1017189

Cited by 126 publications

(71 citation statements)

References 13 publications

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“…The proposed model is based on the trust model proposed by Azzedin and Maheswaran [1]- [5]. They measured the performance of Grid system by applying their trust model in a resource management system.…”

Section: Introductionmentioning

confidence: 99%

“…Trust [1]- [3] is the firm belief in the competence of an entity to act as expected such that this firm belief is not a fixed value associated with the entity but rather it is subject to the entity's behavior and applies only within a specific context at a given time. Trust management (TM) is collecting, codifying, analyzing, and evaluating evidence relating to competence, honesty, security, or dependability with the purpose of making assessments and decisions regarding trust relationships [9].…”

Section: Introductionmentioning

confidence: 99%

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Trust Management of Grid System Embedded with Resource Management System

Elenin

Kitakami

2011

IEICE Trans. Inf. & Syst.

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Sherihan ABU ELENIN†a) , Nonmember and Masato KITAKAMI †b) , Member SUMMARY Recently, Trust has been recognized as an important factor for Grid computing security. In this paper, we propose a trust model in Grid system. It consists of Application Domain (AD), Client Domain (CD), Resource Domain (RD), and Trust Manager (TM). TM controls the relationship between RD and CD depending on the trust level value of each client and classification of each resource. Performance criteria are makespan and utilization. We evaluated our trust model in six scheduling algorithms in nine scenarios. The simulation results show that the proposed trust model improves the performance in all scheduling algorithms. key words: Grid computing, security, trust model, resource management system IntroductionThe security problem is a hot topic in Grid research due to the dynamics and uncertainty of Grid system. There are three entities defined as users, applications and resources in Grid environment. In such situation, users are vulnerable to risk because of potential incomplete or distorted information provided by malicious resources, and as Grid system grows tremendously in size, the possibility of users attacking the network by providing aggressive or vicious applications will increase greatly. Trust management is an effective method to maintain the credibility of the system and keep honesty of entities [8].Trust [1]-[3] is the firm belief in the competence of an entity to act as expected such that this firm belief is not a fixed value associated with the entity but rather it is subject to the entity's behavior and applies only within a specific context at a given time. Trust management (TM) is collecting, codifying, analyzing, and evaluating evidence relating to competence, honesty, security, or dependability with the purpose of making assessments and decisions regarding trust relationships [9]. Trust management systems (TMS) must support analysis of trust and recommendation specifications to detect conflicts and inconsistencies and support trust queries related to decision making.In this paper, we focus on trust management in Grid computing. The proposed model is based on the trust model proposed by Azzedin Related WorkThere is a lot of research on the trust in distributed systems.Here we just mention some works that are deeply related to our paper. Abdul-Rahman and Hailes [10] proposed a trust model for computing the trust for an agent in a specific context based on the experience and recommendations. They applied and implemented their trust model in P2P networks. Trust can have only four possible values; very trustworthy, trustworthy, untrustworthy, and very untrustworthy. Each agent stores the trust values for the agents with him/her interacts and the recommender trust with respect to another agent. So each agent has to store all history of past experiences and received recommendations. defined the notion of trust as consisting of identity trust and behavior trust. They separate the "Grid domain" into a "Client domain" and a "Reso...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trust Management of Grid System Embedded with Resource Management System

Elenin

Kitakami

2011

IEICE Trans. Inf. & Syst.

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“…More importantly, our study differs from that of Abdelzaher and Shin in that the goal of our algorithms is to maximize the overall quality of security (measured by security value) and guarantee ratio by dynamically changing each accepted task's security levels. Azzedin and Maheswaran examined the integration of the notion of "trust" into resource management of a largescale wide-area system such as the Grid [7]. They argued that there is a "trust relationship" between a resource provider (RP) and a resource consumer (RC).…”

Section: Related Workmentioning

confidence: 99%

“…The hypothesis is that if the RMS (Resource Manage System) is aware of the security requirements of the resources and tasks it can perform the allocations such that the security overhead can be minimized. However, the allocation algorithm presented in [7] is developed in the context of non-real-time applications, and it is not suitable for realtime systems where tasks' deadlines have to be factored in.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Task Scheduling with Security Awareness in Real-Time Systems

Xie

Sung

Qin

19th IEEE International Parallel and Distributed Processing Symposium

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“…Finally, even the regular hardware may not be trusted and special security hardware may be necessary. Reference [28] suggests a mechanism for determining trust in a Grid environment. This is an area for future research to decide how much security is needed, how to provide it, and how to verify its correct operation.…”

Section: Mutual Distrustmentioning

confidence: 99%

Scoping security issues for interactive grids

Dwoskin

Basu

Talwar

et al.

The Thrity-Seventh Asilomar Conference on Signals, Systems &Amp; Computers, 2003

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interactive grid, grid computing, security Grid computing allows flexible resource sharing among geographically distributed computing resources in multiple administrative domains. Virtualization of resources allows jobs to be run on remote resources participating in a Grid. While this computing paradigm has been used primarily for batch jobs, we study interactive Grid applications rich in graphics and multimedia such as scientific visualization and digital content creation. A host of security issues need to be addressed for such Interactive Grids to gain acceptance, particularly in industry. The purpose of this paper is to scope these security issues.The Grid Security Infrastructure (GSI), a component of the Globus Toolkit [1], creates Grid credentials for every user and resource. We describe how this may be extended to securely set up an interactive session on a remote host, and the additional security issues associated with interactive session management. We propose controlled shell and controlled desktop mechanisms that restrict the user to execute only authorized commands and applications, and controlled user and super-user accounts that customize the shell and desktop using policy files. We also propose a new approach to scoping the security needs of Grid systems by defining three generic scenarios: mutual trust, partial trust and mutual distrust. New security issues arise when the user may not be trusted, or the user and the host computer's owner are mutually suspicious. Abstract-Grid computing allows flexible resource sharing among geographically distributed computing resources in multiple administrative domains. Virtualization of resources allows jobs to be run on remote resources participating in a Grid. While this computing paradigm has been used primarily for batch jobs, we study interactive Grid applications rich in graphics and multimedia such as scientific visualization and digital content creation. A host of security issues need to be addressed for such Interactive Grids to gain acceptance, particularly in industry. The purpose of this paper is to scope these security issues.The Grid Security Infrastructure (GSI), a component of the Globus Toolkit [1], creates Grid credentials for every user and resource. We describe how this may be extended to securely set up an interactive session on a remote host, and the additional security issues associated with interactive session management. We propose controlled shell and controlled desktop mechanisms that restrict the user to execute only authorized commands and applications, and controlled user and super-user accounts that customize the shell and desktop using policy files. We also propose a new approach to scoping the security needs of Grid systems by defining three generic scenarios: mutual trust, partial trust and mutual distrust. New security issues arise when the user may not be trusted, or the user and the host computer's owner are mutually suspicious.

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Towards Trust-Aware Resource Management in Grid Computing Systems

Abstract: Abstract

Cited by 126 publications

References 13 publications

Trust Management of Grid System Embedded with Resource Management System

Trust Management of Grid System Embedded with Resource Management System

Dynamic Task Scheduling with Security Awareness in Real-Time Systems

Scoping security issues for interactive grids

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