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Byzantine fault tolerant optimization in federated cloud computing
Conference paper

Byzantine fault tolerant optimization in federated cloud computing

Hojjat Baghban, Mahdis Moradi, Ching-Hsien Hsu, Jerry Chou and Yeh-Ching Chung
Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016, pp.658-661
03/2017

Abstract

Byzantine fault tolerant Fault tolerant Multi cloud Security Software Computer Science Applications Computer Networks and Communications Information Systems Safety Risk Reliability and Quality
Cloud computing is a forthcoming revolution in information technology industry because of its performance, accessibility and, low cost. It is appropriate to maximize the capacity or step up capabilities vigorously without investing in new infrastructure, nurturing new personnel or licensing new software. The federated cloud, which is the combination of more than one cloud, is the next logical step after hybrid cloud and there are many indicators that are showing more requirements for such a model. Security is the challenging issue in all cloud infrastructures such as single cloud and federated cloud. And, it is significant in distributed systems which have highly fault tolerant. One of the algorithms for this issue is Byzantine Fault Tolerant. This paper introduces a new method, that optimizes the Byzantine Fault Tolerant and decrease the latency, and detecting the number of faults.

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