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Reliability Assessment of Energy Monitoring Service for a Futuristic Smart City

Published: 04 March 2016 Publication History

Abstract

With the growing popularity of the service oriented computing paradigm, reliable cloud service delivery has assumed prime importance. This, in turn, demands appropriate techniques for reliability assessment of cloud services. In this paper, we present a model for reliability assessment of cloud services in a smart city infrastructure hosted as cloud service. Subsequently we provide the detailed methodology for obtaining cloud services reliability using Markov Model, Graph Theory and Queuing Theory. It has been assumed that critical infrastructures of a smart city including energy, water, gas, transportation, public health and safety, irrigation, communication networks are provided as services hosted on cloud infrastructures.

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cover image ACM Other conferences
ICTCS '16: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies
March 2016
843 pages
ISBN:9781450339629
DOI:10.1145/2905055
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 March 2016

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Author Tags

  1. Cloud computing
  2. Queuing Theory
  3. Reliability
  4. Smart City
  5. Smart Grid

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ICTCS '16

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Overall Acceptance Rate 97 of 270 submissions, 36%

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