A Hybrid Dynamic Load Balancing Approach for Cloud Storage
In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. This paper presents a hybrid control strategy for load balancing. On the one hand the storage node cluster redistributes the load in...
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creator | Yilin Lu Jian Zhang Shaochun Wu Shujuan Zhang |
description | In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. This paper presents a hybrid control strategy for load balancing. On the one hand the storage node cluster redistributes the load in its local range. On the other hand the system applies the overlapping structure to distribute the load to the global storage nodes by batch iteration approach. We also present a dynamic migrating strategy caused by two reasons: overload access or long response time in some storage nodes. Simulation results show that our approach can dramatically reduce the overall response time and better balance the global load. |
doi_str_mv | 10.1109/ICICEE.2012.353 |
format | Conference Proceeding |
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Simulation results show that our approach can dramatically reduce the overall response time and better balance the global load.</description><subject>Cloud computing</subject><subject>Cloud storage</subject><subject>Computers</subject><subject>Delay</subject><subject>Dynamic migration</subject><subject>Educational institutions</subject><subject>Iterative methods</subject><subject>Load balancing</subject><subject>Load management</subject><subject>Load modeling</subject><isbn>1467314501</isbn><isbn>9781467314503</isbn><isbn>9780769547923</isbn><isbn>0769547923</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjrtOwzAYRo0QElAyM7D4BVJ8j3-2EAKNFIkBmCvHl2KUJpFThrw9kcpZvuXo00HonpItpQQem6qp6nrLCGVbLvkFyqDQpFAgRQGMX6JbKlTBqZCEXqNsnn_Iiqaaa3mDnkq8W7oUHX5ZBnOMFrejcfjZ9GawcTjgcprSaOw3DmPCVT_-OvxxGpM5-Dt0FUw_--x_N-jrtf6sdnn7_tZUZZtHWshTbgULHeGhUFRJFrRlQjLnwYk1cDU6FQJ0AEA7HajyQUkAZtfaIDk4yzfo4fwbvff7KcWjScteccaUYPwPcodGKQ</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Yilin Lu</creator><creator>Jian Zhang</creator><creator>Shaochun Wu</creator><creator>Shujuan Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>A Hybrid Dynamic Load Balancing Approach for Cloud Storage</title><author>Yilin Lu ; Jian Zhang ; Shaochun Wu ; Shujuan Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c42fb03f761652f8c2452de9d4547175b6ff9b9991b8f16ef65992c501f539dc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Cloud computing</topic><topic>Cloud storage</topic><topic>Computers</topic><topic>Delay</topic><topic>Dynamic migration</topic><topic>Educational institutions</topic><topic>Iterative methods</topic><topic>Load balancing</topic><topic>Load management</topic><topic>Load modeling</topic><toplevel>online_resources</toplevel><creatorcontrib>Yilin Lu</creatorcontrib><creatorcontrib>Jian Zhang</creatorcontrib><creatorcontrib>Shaochun Wu</creatorcontrib><creatorcontrib>Shujuan Zhang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yilin Lu</au><au>Jian Zhang</au><au>Shaochun Wu</au><au>Shujuan Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Hybrid Dynamic Load Balancing Approach for Cloud Storage</atitle><btitle>2012 International Conference on Industrial Control and Electronics Engineering</btitle><stitle>icicee</stitle><date>2012-08</date><risdate>2012</risdate><spage>1332</spage><epage>1335</epage><pages>1332-1335</pages><isbn>1467314501</isbn><isbn>9781467314503</isbn><eisbn>9780769547923</eisbn><eisbn>0769547923</eisbn><coden>IEEPAD</coden><abstract>In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. This paper presents a hybrid control strategy for load balancing. On the one hand the storage node cluster redistributes the load in its local range. On the other hand the system applies the overlapping structure to distribute the load to the global storage nodes by batch iteration approach. We also present a dynamic migrating strategy caused by two reasons: overload access or long response time in some storage nodes. Simulation results show that our approach can dramatically reduce the overall response time and better balance the global load.</abstract><pub>IEEE</pub><doi>10.1109/ICICEE.2012.353</doi><tpages>4</tpages></addata></record> |
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subjects | Cloud computing Cloud storage Computers Delay Dynamic migration Educational institutions Iterative methods Load balancing Load management Load modeling |
title | A Hybrid Dynamic Load Balancing Approach for Cloud Storage |
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