IRUS Total

Optimal energy consumption with communication, computation, caching and quality guarantee

File Description SizeFormat 
IEEE-TCNS-energy-tradeoffs-2019-04-06.pdfAccepted version2.76 MBAdobe PDFView/Open
Title: Optimal energy consumption with communication, computation, caching and quality guarantee
Authors: Zafari, F
Li, J
Leung, KK
Towsley, D
Swami, A
Item Type: Journal Article
Abstract: Energy efficiency is a fundamental requirement of modern data communication systems, and its importance is reflected in much recent work on performance analysis of system energy consumption. However, most work has only focused on communication and computation costs without accounting for data caching costs. Given the increasing interest in cache networks, this is a serious deficiency. In this paper, we consider the problem of energy consumption in data communication, compression and caching (C3) with a quality-of-information (QoI) guarantee in a communication network. Our goal is to identify the optimal data compression rates and cache placement over the network that minimizes the overall energy consumption in the network. We formulate the problem as a Mixed Integer Non-Linear Programming (MINLP) problem with non-convex functions, which is NP-hard in general. We propose a variant of the spatial branch and bound algorithm (V-SBB) that can provide an $\epsilon$ -global optimal solution to the problem. By extensive numerical experiments, we show that the C3 optimization framework improves the energy efficiency by up to 88% compared to any optimization that only considers either communication and caching or communication and computation. Furthermore, the V-SBB technique provides comparatively better solution than some other MINLP solvers at the cost of added computation time.
Issue Date: 1-Mar-2020
Date of Acceptance: 6-Apr-2019
URI: http://hdl.handle.net/10044/1/69225
DOI: 10.1109/TCNS.2019.2913563
ISSN: 2325-5870
Publisher: IEEE
Start Page: 151
End Page: 162
Journal / Book Title: IEEE Transactions on Control of Network Systems
Volume: 7
Issue: 1
Copyright Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information
Sponsor/Funder: IBM United Kingdom Ltd
Funder's Grant Number: 4603317662
Keywords: Science & Technology
Automation & Control Systems
Computer Science, Information Systems
Computer Science
Data compression
energy efficiency
wireless sensor networks
Science & Technology
Engineering, Electrical & Electronic
0102 Applied Mathematics
0805 Distributed Computing
0906 Electrical and Electronic Engineering
Publication Status: Published
Online Publication Date: 2019-04-26
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

Unless otherwise indicated, items in Spiral are protected by copyright and are licensed under a Creative Commons Attribution NonCommercial NoDerivatives License.

Creative Commons