Towards green distributed storage systems

Abdelrahman M. Ibrahim; Ahmed A. Zewail; Aylin Yener

doi:10.1109/ACSSC.2015.7421265

Towards green distributed storage systems

Abdelrahman M. Ibrahim
, Ahmed A. Zewail
, Aylin Yener

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We model a distributed storage system consisting of energy harvesting nodes which store multiple files. To investigate the performance of file retrieval and node repair, we formulate two optimization problems: maximizing the number of retrieved (repaired) files given a deadline, and minimizing the retrieval (repair) time of a number of stored files. We derive the necessary and sufficient conditions for the feasibility of retrieving (repairing) a number of files by a deadline. Utilizing these conditions, we reduce the aforementioned problems to a single feasibility problem, which is solved using forward and backward algorithms. Finally, the system performance is illustrated numerically.

Original language	English (US)
Title of host publication	Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Publisher	IEEE Computer Society
Pages	890-894
Number of pages	5
Volume	2016-February
ISBN (Electronic)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421265
State	Published - Feb 26 2016
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Other

Other	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing

Access to Document

10.1109/ACSSC.2015.7421265

Cite this

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title = "Towards green distributed storage systems",

abstract = "We model a distributed storage system consisting of energy harvesting nodes which store multiple files. To investigate the performance of file retrieval and node repair, we formulate two optimization problems: maximizing the number of retrieved (repaired) files given a deadline, and minimizing the retrieval (repair) time of a number of stored files. We derive the necessary and sufficient conditions for the feasibility of retrieving (repairing) a number of files by a deadline. Utilizing these conditions, we reduce the aforementioned problems to a single feasibility problem, which is solved using forward and backward algorithms. Finally, the system performance is illustrated numerically.",

author = "Ibrahim, \{Abdelrahman M.\} and Zewail, \{Ahmed A.\} and Aylin Yener",

year = "2016",

month = feb,

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doi = "10.1109/ACSSC.2015.7421265",

language = "English (US)",

volume = "2016-February",

pages = "890--894",

booktitle = "Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015",

publisher = "IEEE Computer Society",

address = "United States",

note = "49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",

}

Ibrahim, AM, Zewail, AA & Yener, A 2016, Towards green distributed storage systems. in Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. vol. 2016-February, 7421265, IEEE Computer Society, pp. 890-894, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421265

TY - GEN

T1 - Towards green distributed storage systems

AU - Ibrahim, Abdelrahman M.

AU - Zewail, Ahmed A.

AU - Yener, Aylin

PY - 2016/2/26

Y1 - 2016/2/26

N2 - We model a distributed storage system consisting of energy harvesting nodes which store multiple files. To investigate the performance of file retrieval and node repair, we formulate two optimization problems: maximizing the number of retrieved (repaired) files given a deadline, and minimizing the retrieval (repair) time of a number of stored files. We derive the necessary and sufficient conditions for the feasibility of retrieving (repairing) a number of files by a deadline. Utilizing these conditions, we reduce the aforementioned problems to a single feasibility problem, which is solved using forward and backward algorithms. Finally, the system performance is illustrated numerically.

AB - We model a distributed storage system consisting of energy harvesting nodes which store multiple files. To investigate the performance of file retrieval and node repair, we formulate two optimization problems: maximizing the number of retrieved (repaired) files given a deadline, and minimizing the retrieval (repair) time of a number of stored files. We derive the necessary and sufficient conditions for the feasibility of retrieving (repairing) a number of files by a deadline. Utilizing these conditions, we reduce the aforementioned problems to a single feasibility problem, which is solved using forward and backward algorithms. Finally, the system performance is illustrated numerically.

UR - https://www.scopus.com/pages/publications/84969750022

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U2 - 10.1109/ACSSC.2015.7421265

DO - 10.1109/ACSSC.2015.7421265

M3 - Conference contribution

AN - SCOPUS:84969750022

VL - 2016-February

SP - 890

EP - 894

BT - Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015

PB - IEEE Computer Society

T2 - 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015

Y2 - 8 November 2015 through 11 November 2015

ER -

Towards green distributed storage systems

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