A Generalized Trust Model for Computational Grids & Clouds

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Abstract

In the present era, world is moving very rapidly with internet for sharing of resources and services. There are many heterogeneous and complex applications to be executed within less time. The complex applications require lot of resources such as processing, storage, etc, for execution but due to the constrained resources available within a system, the applications may not execute perfectly. Grid Computing is the technology used to integrate various heterogeneous systems from different boundaries of the world to execute complex applications. This technology creates a virtual organization where huge set of systems are integrated to solve very complicated and critical problems. There are many people who are not able to set up a real organization with lot of infrastructure and other services for execution of applications. Cloud Computing is the technology which provides lot of services like software, hardware, networking and much more for less cost. This technology supports pay-as-you-go model in which the user will pay the amount only for the used services. The major problem is to trust Grid Service Providers, Grid Users, Cloud Service Providers and Cloud Users for doing the transactions, in their respective environment, as there are many systems from various domains participating in the transactions. This paper proposes a generalized Trust Model for Cloud/Grid Computing Environment (T-CGE) to establish very strong trust among the Cloud/Grid Service Providers and Cloud/Grid Users. This paper also demonstrates the reliability statistics by using Cronbach’s Alpha to show the relative consistency of data. ANOVA (Analysis of Variance) is used to show the variations among the service parameters of all service providers, and also variations among the service providers. The T-CGE trust model helps the end users to get better and consistent services from their application developers.

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Kumar*, G. M., Ramachandram, Dr. S., & Gyani, Dr. J. (2019). A Generalized Trust Model for Computational Grids & Clouds. International Journal of Innovative Technology and Exploring Engineering, 9(2), 4074–4080. https://doi.org/10.35940/ijitee.b7699.129219

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