Throughput Variant Component Ranking In Dynamic FT Cloud Framework

Sudheshna tupadha*, Shoba Bindu C**
* Department of CSE, JNTUA College of Engineering, Ananthapuram, India
** Associate Professor & Head, Department of CSE, JNTUA College of Engineering, Ananthapuram, India
Periodicity:November - January'2014
DOI : https://doi.org/10.26634/jcc.1.1.2798

Abstract

FTCloud is an emerging cloud paradigm that orchestrates multiple cloud technologies and is becoming the main stream aspect of providing service. As software, Fault Tolerance (FT) mechanisms mask failures earlier to improve reliability. To address this challenge, Zibin Zheng proposed a component ranking framework with fault tolerance named FTCloud to tolerate failures in software. In FTCloud more characteristic factors like throughput and dynamic faulttolerance mechanisms are not implemented. To ensure reliability ' Dynamic FTCloud ' framework mainly concentrates on throughput with random graph model in FTCloud1 while employing response time for services. The FTCloud2 focuses on failure probability of components as extension to the FTCloud. In this paper, dynamic optimal fault-tolerance strategy is implemented in the framework along with the previous algorithm of design diversity techniques .The prospecting results show that tolerating faults of significant components are having enormous improvement with reliability.

Keywords

Dynamic FT Strategy, Throughput, Cloud Application, Fault Tolerance.

How to Cite this Article?

Sudheshna, T., and Bindu, C. S. (2014). Throughput Variant Component Ranking In Dynamic FT Cloud Framework. i-manager’s Journal on Cloud Computing, 1(1), 6-12. https://doi.org/10.26634/jcc.1.1.2798

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