Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing

Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobi...

Full description

Saved in:
Bibliographic Details
Published in:Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-10
Main Authors: Peng, Enda, Yang, Zhen, Yuan, Chaowei, Liu, Xing
Format: Article
Language:English
Subjects:
Algorithms
Applications programs
Channels
Cloud computing
Communication
Computation
Data transmission
Dynamic programming
Energy consumption
Energy efficiency
Engineering
Mobile commerce
Mobile communication systems
Mobile computing
Performance evaluation
Queues
Queuing theory
Resource scheduling
Scheduling
Uplinking
Wireless networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c389t-d8d8dc3c98e9a34ffccfd7e955ba8c62e15adfc86b651824e2b2f545af3dd9a23
cites cdi_FETCH-LOGICAL-c389t-d8d8dc3c98e9a34ffccfd7e955ba8c62e15adfc86b651824e2b2f545af3dd9a23
container_end_page 10
container_issue 2015
container_start_page 1
container_title Mathematical problems in engineering
container_volume 2015
creator Peng, Enda
Yang, Zhen
Yuan, Chaowei
Liu, Xing
description Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.
doi_str_mv 10.1155/2015/658216
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1793236880</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3819562401</sourcerecordid><originalsourceid>FETCH-LOGICAL-c389t-d8d8dc3c98e9a34ffccfd7e955ba8c62e15adfc86b651824e2b2f545af3dd9a23</originalsourceid><addsrcrecordid>eNqF0M9LwzAUB_AiCs7pybsUvIgS1_xq06OW-QMmHnToraTJy5bZtTNpkf33ZtSDeJEcXuB9eO_xjaJTnFxjzPmEJJhPUi4ITveiEeYpRRyzbD_8E8IQJvT9MDryfpUkBHMsRtHszTqowXs039S2-fDoVnrQ8bQBt9iiqTFWWWi6-EUtQfeBLGLbxE9tZWuIi7rtdVy0603fhc5xdGBk7eHkp46j-d30tXhAs-f7x-JmhhQVeYe0CE9RlQvIJWXGKGV0BjnnlRQqJYC51EaJtErDjYQBqYjhjEtDtc4loePoYpi7ce1nD74r19YrqGvZQNv7Emc5JTQVIgn0_A9dtb1rwnVB4UAyxlhQV4NSrvXegSk3zq6l25Y4KXfJlrtkyyHZoC8HvbSNll_2H3w2YAgEjPyFw-okp98qYoHW</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1716887444</pqid></control><display><type>article</type><title>Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing</title><source>Wiley Online Library Open Access</source><source>Publicly Available Content Database</source><source>IngentaConnect Journals</source><creator>Peng, Enda ; Yang, Zhen ; Yuan, Chaowei ; Liu, Xing</creator><contributor>Chang, Bao Rong</contributor><creatorcontrib>Peng, Enda ; Yang, Zhen ; Yuan, Chaowei ; Liu, Xing ; Chang, Bao Rong</creatorcontrib><description>Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2015/658216</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Applications programs ; Channels ; Cloud computing ; Communication ; Computation ; Data transmission ; Dynamic programming ; Energy consumption ; Energy efficiency ; Engineering ; Mobile commerce ; Mobile communication systems ; Mobile computing ; Performance evaluation ; Queues ; Queuing theory ; Resource scheduling ; Scheduling ; Uplinking ; Wireless networks</subject><ispartof>Mathematical problems in engineering, 2015-01, Vol.2015 (2015), p.1-10</ispartof><rights>Copyright © 2015 Xing Liu et al.</rights><rights>Copyright © 2015 Xing Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-d8d8dc3c98e9a34ffccfd7e955ba8c62e15adfc86b651824e2b2f545af3dd9a23</citedby><cites>FETCH-LOGICAL-c389t-d8d8dc3c98e9a34ffccfd7e955ba8c62e15adfc86b651824e2b2f545af3dd9a23</cites><orcidid>0000-0002-4309-5308</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1716887444/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1716887444?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590,74998</link.rule.ids></links><search><contributor>Chang, Bao Rong</contributor><creatorcontrib>Peng, Enda</creatorcontrib><creatorcontrib>Yang, Zhen</creatorcontrib><creatorcontrib>Yuan, Chaowei</creatorcontrib><creatorcontrib>Liu, Xing</creatorcontrib><title>Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing</title><title>Mathematical problems in engineering</title><description>Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.</description><subject>Algorithms</subject><subject>Applications programs</subject><subject>Channels</subject><subject>Cloud computing</subject><subject>Communication</subject><subject>Computation</subject><subject>Data transmission</subject><subject>Dynamic programming</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Engineering</subject><subject>Mobile commerce</subject><subject>Mobile communication systems</subject><subject>Mobile computing</subject><subject>Performance evaluation</subject><subject>Queues</subject><subject>Queuing theory</subject><subject>Resource scheduling</subject><subject>Scheduling</subject><subject>Uplinking</subject><subject>Wireless networks</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqF0M9LwzAUB_AiCs7pybsUvIgS1_xq06OW-QMmHnToraTJy5bZtTNpkf33ZtSDeJEcXuB9eO_xjaJTnFxjzPmEJJhPUi4ITveiEeYpRRyzbD_8E8IQJvT9MDryfpUkBHMsRtHszTqowXs039S2-fDoVnrQ8bQBt9iiqTFWWWi6-EUtQfeBLGLbxE9tZWuIi7rtdVy0603fhc5xdGBk7eHkp46j-d30tXhAs-f7x-JmhhQVeYe0CE9RlQvIJWXGKGV0BjnnlRQqJYC51EaJtErDjYQBqYjhjEtDtc4loePoYpi7ce1nD74r19YrqGvZQNv7Emc5JTQVIgn0_A9dtb1rwnVB4UAyxlhQV4NSrvXegSk3zq6l25Y4KXfJlrtkyyHZoC8HvbSNll_2H3w2YAgEjPyFw-okp98qYoHW</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Peng, Enda</creator><creator>Yang, Zhen</creator><creator>Yuan, Chaowei</creator><creator>Liu, Xing</creator><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-4309-5308</orcidid></search><sort><creationdate>20150101</creationdate><title>Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing</title><author>Peng, Enda ; Yang, Zhen ; Yuan, Chaowei ; Liu, Xing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-d8d8dc3c98e9a34ffccfd7e955ba8c62e15adfc86b651824e2b2f545af3dd9a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algorithms</topic><topic>Applications programs</topic><topic>Channels</topic><topic>Cloud computing</topic><topic>Communication</topic><topic>Computation</topic><topic>Data transmission</topic><topic>Dynamic programming</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Engineering</topic><topic>Mobile commerce</topic><topic>Mobile communication systems</topic><topic>Mobile computing</topic><topic>Performance evaluation</topic><topic>Queues</topic><topic>Queuing theory</topic><topic>Resource scheduling</topic><topic>Scheduling</topic><topic>Uplinking</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Enda</creatorcontrib><creatorcontrib>Yang, Zhen</creatorcontrib><creatorcontrib>Yuan, Chaowei</creatorcontrib><creatorcontrib>Liu, Xing</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Enda</au><au>Yang, Zhen</au><au>Yuan, Chaowei</au><au>Liu, Xing</au><au>Chang, Bao Rong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2015-01-01</date><risdate>2015</risdate><volume>2015</volume><issue>2015</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>Mobile cloud computing (MCC) combines cloud computing and mobile internet to improve the computational capabilities of resource-constrained mobile devices (MDs). In MCC, mobile users could not only improve the computational capability of MDs but also save operation consumption by offloading the mobile applications to the cloud. However, MCC faces the problem of energy efficiency because of time-varying channels when the offloading is being executed. In this paper, we address the issue of energy-efficient scheduling for wireless uplink in MCC. By introducing Lyapunov optimization, we first propose a scheduling algorithm that can dynamically choose channel to transmit data based on queue backlog and channel statistics. Then, we show that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in a channel-aware MCC system. Simulation results show that the proposed scheduling algorithm can reduce the time average energy consumption for offloading compared to the existing algorithm.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2015/658216</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4309-5308</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1024-123X
ispartof Mathematical problems in engineering, 2015-01, Vol.2015 (2015), p.1-10
issn 1024-123X
1563-5147
language eng
recordid cdi_proquest_miscellaneous_1793236880
source Wiley Online Library Open Access; Publicly Available Content Database; IngentaConnect Journals
subjects Algorithms
Applications programs
Channels
Cloud computing
Communication
Computation
Data transmission
Dynamic programming
Energy consumption
Energy efficiency
Engineering
Mobile commerce
Mobile communication systems
Mobile computing
Performance evaluation
Queues
Queuing theory
Resource scheduling
Scheduling
Uplinking
Wireless networks
title Wireless-Uplinks-Based Energy-Efficient Scheduling in Mobile Cloud Computing
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T04%3A36%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Wireless-Uplinks-Based%20Energy-Efficient%20Scheduling%20in%20Mobile%20Cloud%20Computing&rft.jtitle=Mathematical%20problems%20in%20engineering&rft.au=Peng,%20Enda&rft.date=2015-01-01&rft.volume=2015&rft.issue=2015&rft.spage=1&rft.epage=10&rft.pages=1-10&rft.issn=1024-123X&rft.eissn=1563-5147&rft_id=info:doi/10.1155/2015/658216&rft_dat=%3Cproquest_cross%3E3819562401%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c389t-d8d8dc3c98e9a34ffccfd7e955ba8c62e15adfc86b651824e2b2f545af3dd9a23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1716887444&rft_id=info:pmid/&rfr_iscdi=true