SCDA: SLA-aware cloud datacenter architecture for efficient content storage and retrieval

Debessay Fesehaye Kassa, Klara Nahrstedt

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

Abstract

With the fast growth of (online) content and the need for high quality content services, cloud data centers are increasingly becoming the preferred places to store data and retrieve it from. With a highly variable network traffic and limited resources, efficient server selection and data transfer rate allocation mechanisms become necessary. However, current approaches rely on random server selection schemes and inefficient data transmission rate control mechanisms. In this paper we present SCDA, an efficient server selection, resource allocation and enforcement mechanism with many salient features. SCDA has prioritized rate allocation mechanism to satisfy different service level agreements (SLA)s on throughput and delays. The allocation scheme can achieve max/min fairness. SCDA has a mechanism to detect and hence mitigate SLA violation in realtime. We have implemented SCDA in the NS2 simulator. Extensive experimental results confirm some of the design goals of SCDA to obtain a lower content transfer time and a higher throughput. The design of SCDA can achieve a content transfer time which is about 50% lower than the existing schemes and a throughput which is higher than existing approaches by upto than 60%.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE 7th International Conference on Cloud Computing, CLOUD 2014
EditorsCarl Kesselman
PublisherIEEE Computer Society
Pages120-127
Number of pages8
ISBN (Electronic)9781479950638
DOIs
StatePublished - Dec 3 2014
Event7th IEEE International Conference on Cloud Computing, CLOUD 2014 - Anchorage, United States
Duration: Jun 27 2014Jul 2 2014

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Other

Other7th IEEE International Conference on Cloud Computing, CLOUD 2014
CountryUnited States
CityAnchorage
Period6/27/147/2/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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