MATEM: A Multi-Agent-Based Trust Evaluation Model for Discovery and Delivery of Reliable Cloud Services

MATEM: A Multi-Agent-Based Trust Evaluation Model for Discovery and Delivery of Reliable Cloud Services

Shivani Jaswal, Manisha Malhotra
Copyright: © 2022 |Pages: 17
DOI: 10.4018/IJCAC.305213
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Abstract

The paradigms of Cloud Computing have risen at a very rapid rate. The Cloud Computing demands that a trustworthy or reliable service should be availed by its potential user. However, it is always a challenge for any cloud user to look for service that is suitable as well as reliable in every aspect. For a trustworthy discovery and delivery of cloud services, a multi-layered model i.e., Multi Agent based Trust Evaluation Model (MATEM) has been proposed. It is a multi-agent trust model that will make use of multiple agents to perform and evaluate the credibility of trust through trust evaluation system. Also, the performance validation has proven that the final calculated values of trust will be helpful in providing reliable cloud services to its users.
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The author has proposed a new trust model and its associated algorithm which helps in detecting the intrusion of nodes and can lead to trust management. It is based on domain ability. Also, the partitioning of nodes also helps in decreasing the trust issues in context of storage and computation. This paper has successfully explained a method to store trust values based on sliding windows which is based on domain and cross domain areas. At the end, an algorithm is defined and a filter is being used to remove the malicious trust values from the model (Liu et. al, 2015).

In this paper, author has proposed a framework naming Trust Management Middleware (TMM), which is used to select a reliable service. It is based on subjective and objective selection of services from service providers. Also, a new covariance algorithm has been proposed and implemented for generating the credibility of feedback submitted by user. It actually helps in improving the accuracy of different values of trust (Li et. al, 2010).

In this, a detailed analysis of user behaviours i.e., job arrival time and service time has been done by the author. It helps the cloud broker to make further scheduling decisions. However, no method has been used to improve the behaviour of broker if not found upto the mark (Deng et. al, 2010).

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