Abstract

Problem statement: Trust management in a distributed dynamic environment like grid has been very vital since the allocation of appropriate resources to meet user request influences the success of the system. While considering a set of resources which are loaded invariably, balancing the load also contributes for the efficient resource utilization. Approach: This study proposes a trust calculation model, which considers weighted parameters like direct trust, reputation trust, load average information and network efficiency. Network efficiency also varies with the granularity of jobs, hence the experiment were conducted with an inclusion of this criteria. Results and Conclusion: The proposed Hybrid Model for Load aware Trust management system (HMLT) allocates the job based on the trust values. The resources with higher trust value get more jobs. As a result the performance of the proposed system found to be faster and has a better utilization of grid resources when studied in a grid environment.

Highlights

  • Grid is a distributed computing technology that supports aggregation of distributed computational resources that span beyond organizational boundaries

  • The network efficiency of the domain is the measure of data transfer speed to and from the domain and the confederation based on the relative speeds of all the Individual dimension calculation: Trust value in Individual Dimension Trust Table (IDT) decays with time due to dynamicity

  • To evaluate the performance of the implemented HMLT, a key strength determining application is tested with 12 domains of Virtual Organizations (VOs)

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Summary

Introduction

Grid is a distributed computing technology that supports aggregation of distributed computational resources that span beyond organizational boundaries. The behavioral trust of grid resources was considered. The proposed model discusses a novel trust calculation paradigm in grid considering parameters such as job granularity, network efficiency and past behavior of resources.

Results
Conclusion
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