Efficiency-Aware Workload Optimizations of Heterogeneous Cloud Computing for Capacity Planning in Financial Industry

Keke Gai, Zhihua Du*, Meikang Qiu, Hui Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

70 Citations (Scopus)

Abstract

The broad implementation of cloud computing has brought a dramatic change to multiple industries, which derives from the development of the Internet-related technologies. This trend has enabled global enterprises to apply distributed computing techniques to reach many benefits. An effective risk management approach is required for service deliveries and a capacity planning is considered one of the convincing methods for financial industry. However, executing a capacity planning is still encountering a great challenge from bottlenecks of the Web server capacities. The unstable service demands often result in service delays, which embarrasses the competitivenesses of the enterprises. This paper addresses this issue and proposes an approach, named Efficiency-aware Cloud-based Workload Optimization (ECWO) Model, using greedy programming to predict server workloads of heterogeneous cloud computing in financial industry. The main algorithms used in the proposed model are Task Mapping Algorithm (TMA) and Efficiency-Aware Task Assignment (EATA) Algorithm. Our experimental evaluations have examined the performance of the proposed scheme.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015
EditorsTao Zhang, Sajal K. Das, Tao Zhang, Meikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781467392990
DOIs
Publication statusPublished - 4 Jan 2016
Externally publishedYes
Event2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - New York, United States
Duration: 3 Nov 20155 Nov 2015

Publication series

NameProceedings - 2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015 - IEEE International Symposium of Smart Cloud, IEEE SSC 2015

Conference

Conference2nd IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2015
Country/TerritoryUnited States
CityNew York
Period3/11/155/11/15

Keywords

  • Workload prediction
  • capacity planning
  • financial industry
  • heterogeneous clouds
  • mobile cloud computing

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