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Comparative Study: Dependability of Big Data in the Cloud

Published: 29 March 2017 Publication History

Abstract

Cloud Computing provides computing resources remotely and on demand. These resources can be infrastructures, platforms, or application software. Whereas Big Data is well known for needing high capacity of both storage and computation's data streams. Thus, dependability must be studied in order to determine the attitude of Cloud systems to complete the features required by Big Data. The objective of this article is to deal with the general context of the Dependability and Cloud environment for Big Data. Thus, we carried out a statistic study of the research work that have been conducted in this context. The state of the art will allow us to approach the problematic of the dependability of Big Data in the Cloud. Our first objective is to know if there are many papers that deal at the same time a three thematics: the Cloud, the Big Data and the Dependability

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cover image ACM Other conferences
BDCA'17: Proceedings of the 2nd international Conference on Big Data, Cloud and Applications
March 2017
685 pages
ISBN:9781450348522
DOI:10.1145/3090354
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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  • Ministère de I'enseignement supérieur: Ministère de I'enseignement supérieur

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Published: 29 March 2017

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Author Tags

  1. Big Data
  2. Cloud Computing
  3. Dependability
  4. IaaS
  5. PaaS
  6. SaaS
  7. Value
  8. Variety
  9. Velocity
  10. Veracity
  11. Volume

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