Trust Management in Grid-Trust Assessment and Trust Degree Calculation of a Resource—A Novel Approach

Anitha, A.

doi:10.4236/jcc.2015.36005

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Similarly any node in the process of communication increases its trust levels if there is no un-trusted activity performed. Avula Anitha [9] proposed trust management in grid-trust assessment and trust degree calculation of a resourcea novel approach. This paper provides a trust assessment and trust degree calculation mechanism using subjective logic to provide the reliable trusted resources for a grid user and to maintain the integrity & accuracy of results with faster response.…”

Section: Related Workmentioning

confidence: 99%

A Generalized Trust Model for Computational Grids & Clouds

Kumar*,

Ramachandram,

Gyani

2019

IJITEE

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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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Section: Related Workmentioning

confidence: 99%

A Generalized Trust Model for Computational Grids & Clouds

Kumar*,

Ramachandram,

Gyani

2019

IJITEE

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“…The user has to wait for a long time, with a false impression that the job is being executed on some resource in the grid. This may have a greater impact on the trust and efficiency of the grid environment [5]. To avoid this, both functional and nonfunctional properties of a resource should be considered.…”

Section: Introductionmentioning

confidence: 99%

Job Scheduling Using Coupling in Grid

Anitha¹

2015

JCC

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The grid computing main concern is to use the resources efficiently. For achieving this many grid resource scheduling algorithms are used for the efficient use of unused resources, especially CPU. The scheduling algorithms assign single complete job to a single resource. Instead, if these algorithms consider the degree of dependency among the modules of a job, they can be allocated parallel to the different resources. This reduces the completion time of the job and the resources can be utilized to its maximum extent. Towards this, the job scheduling using coupling algorithm is proposed. This algorithm puts forward the idea of considering the coupling degree while allocating the modules of a job parallel to different resources. In this algorithm, resource selection is done by using both its functional and non-functional properties. The algorithm works in 3 phases. It groups the interdependent modules of a job into different sets using coupling in the first phase. It checks the non-functional property i.e. availability of a resource using echo procedure in the second phase and in the third phase, the sets created in first phase, are allocated parallel to different available and matching resources. From the simulation results it is observed that job scheduling using coupling algorithm gives better performance in terms of reduced turnaround time as compared to First Come First Served, Largest Task First and Minimum Execution Time scheduling algorithms.

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Assessing the Progress of Women in Corporate America: The More Things Change, the More They Stay the Same

Dworkin¹,

Schipani²,

Milliken³

et al. 2018

American Business Law J

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Overt gender discrimination in the workplace is now less frequent since the passage of the Civil Rights Act; however, subconscious workplace gender biases persist. These subtle biases continue to contribute to gender inequality in the employment context, hindering women's ability to reach the top ranks of corporate leadership and their ability to achieve pay equity. To combat this inequity, in this article, we advance several suggestions. First, we urge states to pass legislation requiring paycheck fairness and urge firms to institute policies of salary transparency. Next, when there is a lack of women in the highest corporate ranks of the company, a presumption of discrimination should replace the current legal framework in the courts for disparate treatment analysis in Title VII cases of gender discrimination. We further suggest that firms would do well to improve mentoring and networking programs for women to help even the playing field and call on companies to offer implicit bias training for men. Finally, we urge firms to improve the environment for women in the workplace by adopting and sincerely promoting family-friendly policies. Not only would these recommendations be just, they would also likely increase productivity in the corporate world and help resolve the paradox surrounding the paucity of women in top leadership positions.

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Trust Management in Grid-Trust Assessment and Trust Degree Calculation of a Resource—A Novel Approach

Cited by 4 publications

References 16 publications

A Generalized Trust Model for Computational Grids & Clouds

A Generalized Trust Model for Computational Grids & Clouds

Job Scheduling Using Coupling in Grid

Assessing the Progress of Women in Corporate America: The More Things Change, the More They Stay the Same

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