Policy-Based QoS Enforcement for Adaptive Big Data Distribution on the Cloud

Hadeel T.El Kassabi, Ikbal Taleb, Mohamed Adel Serhani, Rachida Dssouli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Big Data distribution has benefited from the Cloud resources to accommodate application's QoS requirements. In this paper, we propose Big Data distribution scheme that matches the Cloud available resources to guarantee application's QoS given the continuously dynamic and varying resources of the Cloud infrastructure. We developed Two-Level QoS Policies (TLPS) for selecting clusters and nodes while satisfying the client's application QoS. We also proposed an adaptive data distribution algorithm to cope with changing QoS requirements. Experiments have been conducted to evaluate both the effectiveness and the communication overhead of our proposed distribution scheme and the results we have reported are convincing. Other experiments evaluated our TLPS algorithm against other single-based QoS data distribution algorithms and the results show that TLPS algorithm adapts to the customer QoS requirements.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 2nd International Conference on Big Data Computing Service and Applications, BigDataService 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages225-233
Number of pages9
ISBN (Electronic)9781509022519
DOIs
Publication statusPublished - May 19 2016
Event2nd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2016 - Oxford, United Kingdom
Duration: Mar 29 2016Apr 1 2016

Publication series

NameProceedings - 2016 IEEE 2nd International Conference on Big Data Computing Service and Applications, BigDataService 2016

Other

Other2nd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2016
Country/TerritoryUnited Kingdom
CityOxford
Period3/29/164/1/16

Keywords

  • Big Data
  • Cloud
  • Cost minimization
  • Data placement
  • QoS
  • distributed data centers
  • selection policy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Computer Science Applications
  • Information Systems

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