Efficient data access in hybrid cloud storage

Islam Samy, Onur Ozan Koyluoglu, Ankit Singh Rawat

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

Abstract

Hybrid cloud is a widely adopted framework where on-premise storage and/or compute resources are combined with public cloud system. This paper explores the storage aspect of this framework, which requires designing coding schemes that are aware of both local and global components of the available storage space. The coding schemes should provide efficient repair mechanisms for the data stored on the public cloud (global storage space) and utilize the local storage space to facilitate seamless access to the overall information stored on the hybrid cloud storage. This paper presents a mathematical model for hybrid cloud storage which takes all these requirements into account. The paper then extends the information flow graph approach to characterize the fundamental limits on access bandwidth of the system, i.e., the amount of data downloaded from the public cloud during the data reconstruction process. This paper also presents several explicit coding schemes that utilize the available local storage space to attain the fundamental limit on the access bandwidth. The setup where multiple clients with varying local storage spaces are supported by a single global storage space is also addressed.

Original languageEnglish (US)
Title of host publication55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
Volume2018-January
ISBN (Electronic)9781538632666
DOIs
StatePublished - Jan 17 2018
Externally publishedYes
Event55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017 - Monticello, United States
Duration: Oct 3 2017Oct 6 2017

Other

Other55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
CountryUnited States
CityMonticello
Period10/3/1710/6/17

Fingerprint

Bandwidth
Flow graphs
Repair
Mathematical models
Coding
Flow Graphs
Information Flow
Mathematical Model
Resources
Requirements

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Energy Engineering and Power Technology
  • Control and Optimization

Cite this

Samy, I., Koyluoglu, O. O., & Rawat, A. S. (2018). Efficient data access in hybrid cloud storage. In 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017 (Vol. 2018-January, pp. 1-8). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ALLERTON.2017.8262711

Efficient data access in hybrid cloud storage. / Samy, Islam; Koyluoglu, Onur Ozan; Rawat, Ankit Singh.

55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-8.

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

Samy, I, Koyluoglu, OO & Rawat, AS 2018, Efficient data access in hybrid cloud storage. in 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017, Monticello, United States, 10/3/17. https://doi.org/10.1109/ALLERTON.2017.8262711
Samy I, Koyluoglu OO, Rawat AS. Efficient data access in hybrid cloud storage. In 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-8 https://doi.org/10.1109/ALLERTON.2017.8262711
Samy, Islam ; Koyluoglu, Onur Ozan ; Rawat, Ankit Singh. / Efficient data access in hybrid cloud storage. 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-8
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