Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers
Docker offers an opportunity for further improvement in data centers' (DCs) efficiency. However, existing models and schemes fall short to be efficiently used for Docker container-based resource allocation. We design a novel application oriented Docker container (AODC)-based resource allocation...
Gespeichert in:
| Veröffentlicht in: | IEEE communications letters 2017-03, Vol.21 (3), p.504-507 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 507 |
|---|---|
| container_issue | 3 |
| container_start_page | 504 |
| container_title | IEEE communications letters |
| container_volume | 21 |
| creator | Guan, Xinjie Wan, Xili Choi, Baek-Young Song, Sejun Zhu, Jiafeng |
| description | Docker offers an opportunity for further improvement in data centers' (DCs) efficiency. However, existing models and schemes fall short to be efficiently used for Docker container-based resource allocation. We design a novel application oriented Docker container (AODC)-based resource allocation framework to minimize the application deployment cost in DCs, and to support automatic scaling while the workload of cloud applications varies. We then model the AODC resource allocation problem considering features of Docker, various applications' requirements, and available resources in cloud data centers, and propose a scalable algorithm for DCs with diverse and dynamic applications and massive physical resources. |
| doi_str_mv | 10.1109/LCOMM.2016.2644658 |
| format | Article |
| fullrecord | <record><control><sourceid>crossref_RIE</sourceid><recordid>TN_cdi_ieee_primary_7797163</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7797163</ieee_id><sourcerecordid>10_1109_LCOMM_2016_2644658</sourcerecordid><originalsourceid>FETCH-LOGICAL-c267t-4cddcd3e79ab28e2542261041ae377840add28362b9bcb38483841f59600e3c3</originalsourceid><addsrcrecordid>eNo9kMtOwzAQRS0EEqXwA7DxDyT4FdtZRikUpFSRUFmwihxnggxpXNlh0b8npRWLeWh0zywOQveUpJSS_LEq680mZYTKlEkhZKYv0IJmmU7Y3C7nneg8USrX1-gmxi9CiGYZXaCPYr8fnDWT8yOug4Nxgg6vDqPZOYvfIPqfYAEXw-DPod4HvDKTweUxGyJ-j278xCtvvyHg0o-TceN8v0VXvRki3J3nEm2fn7blS1LV69eyqBLLpJoSYbvOdhxUblqmgWWCMUmJoAa4UloQ03VMc8navLUt10LPRfssl4QAt3yJ2OmtDT7GAH2zD25nwqGhpDm6af7cNEc3zdnNDD2cIAcA_8CsR1HJ-S9b1mDh</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers</title><source>IEEE Electronic Library (IEL)</source><creator>Guan, Xinjie ; Wan, Xili ; Choi, Baek-Young ; Song, Sejun ; Zhu, Jiafeng</creator><creatorcontrib>Guan, Xinjie ; Wan, Xili ; Choi, Baek-Young ; Song, Sejun ; Zhu, Jiafeng</creatorcontrib><description>Docker offers an opportunity for further improvement in data centers' (DCs) efficiency. However, existing models and schemes fall short to be efficiently used for Docker container-based resource allocation. We design a novel application oriented Docker container (AODC)-based resource allocation framework to minimize the application deployment cost in DCs, and to support automatic scaling while the workload of cloud applications varies. We then model the AODC resource allocation problem considering features of Docker, various applications' requirements, and available resources in cloud data centers, and propose a scalable algorithm for DCs with diverse and dynamic applications and massive physical resources.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2016.2644658</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>IEEE</publisher><subject>application oriented ; Cloud computing ; Containers ; cost efficient ; Data center ; Heuristic algorithms ; Libraries ; Optimization ; resource allocation ; Resource management ; Virtual machine monitors</subject><ispartof>IEEE communications letters, 2017-03, Vol.21 (3), p.504-507</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c267t-4cddcd3e79ab28e2542261041ae377840add28362b9bcb38483841f59600e3c3</citedby><cites>FETCH-LOGICAL-c267t-4cddcd3e79ab28e2542261041ae377840add28362b9bcb38483841f59600e3c3</cites><orcidid>0000-0002-1158-3366 ; 0000-0002-6537-843X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7797163$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7797163$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Guan, Xinjie</creatorcontrib><creatorcontrib>Wan, Xili</creatorcontrib><creatorcontrib>Choi, Baek-Young</creatorcontrib><creatorcontrib>Song, Sejun</creatorcontrib><creatorcontrib>Zhu, Jiafeng</creatorcontrib><title>Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>Docker offers an opportunity for further improvement in data centers' (DCs) efficiency. However, existing models and schemes fall short to be efficiently used for Docker container-based resource allocation. We design a novel application oriented Docker container (AODC)-based resource allocation framework to minimize the application deployment cost in DCs, and to support automatic scaling while the workload of cloud applications varies. We then model the AODC resource allocation problem considering features of Docker, various applications' requirements, and available resources in cloud data centers, and propose a scalable algorithm for DCs with diverse and dynamic applications and massive physical resources.</description><subject>application oriented</subject><subject>Cloud computing</subject><subject>Containers</subject><subject>cost efficient</subject><subject>Data center</subject><subject>Heuristic algorithms</subject><subject>Libraries</subject><subject>Optimization</subject><subject>resource allocation</subject><subject>Resource management</subject><subject>Virtual machine monitors</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwA7DxDyT4FdtZRikUpFSRUFmwihxnggxpXNlh0b8npRWLeWh0zywOQveUpJSS_LEq680mZYTKlEkhZKYv0IJmmU7Y3C7nneg8USrX1-gmxi9CiGYZXaCPYr8fnDWT8yOug4Nxgg6vDqPZOYvfIPqfYAEXw-DPod4HvDKTweUxGyJ-j278xCtvvyHg0o-TceN8v0VXvRki3J3nEm2fn7blS1LV69eyqBLLpJoSYbvOdhxUblqmgWWCMUmJoAa4UloQ03VMc8navLUt10LPRfssl4QAt3yJ2OmtDT7GAH2zD25nwqGhpDm6af7cNEc3zdnNDD2cIAcA_8CsR1HJ-S9b1mDh</recordid><startdate>201703</startdate><enddate>201703</enddate><creator>Guan, Xinjie</creator><creator>Wan, Xili</creator><creator>Choi, Baek-Young</creator><creator>Song, Sejun</creator><creator>Zhu, Jiafeng</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-1158-3366</orcidid><orcidid>https://orcid.org/0000-0002-6537-843X</orcidid></search><sort><creationdate>201703</creationdate><title>Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers</title><author>Guan, Xinjie ; Wan, Xili ; Choi, Baek-Young ; Song, Sejun ; Zhu, Jiafeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c267t-4cddcd3e79ab28e2542261041ae377840add28362b9bcb38483841f59600e3c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>application oriented</topic><topic>Cloud computing</topic><topic>Containers</topic><topic>cost efficient</topic><topic>Data center</topic><topic>Heuristic algorithms</topic><topic>Libraries</topic><topic>Optimization</topic><topic>resource allocation</topic><topic>Resource management</topic><topic>Virtual machine monitors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guan, Xinjie</creatorcontrib><creatorcontrib>Wan, Xili</creatorcontrib><creatorcontrib>Choi, Baek-Young</creatorcontrib><creatorcontrib>Song, Sejun</creatorcontrib><creatorcontrib>Zhu, Jiafeng</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guan, Xinjie</au><au>Wan, Xili</au><au>Choi, Baek-Young</au><au>Song, Sejun</au><au>Zhu, Jiafeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2017-03</date><risdate>2017</risdate><volume>21</volume><issue>3</issue><spage>504</spage><epage>507</epage><pages>504-507</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>Docker offers an opportunity for further improvement in data centers' (DCs) efficiency. However, existing models and schemes fall short to be efficiently used for Docker container-based resource allocation. We design a novel application oriented Docker container (AODC)-based resource allocation framework to minimize the application deployment cost in DCs, and to support automatic scaling while the workload of cloud applications varies. We then model the AODC resource allocation problem considering features of Docker, various applications' requirements, and available resources in cloud data centers, and propose a scalable algorithm for DCs with diverse and dynamic applications and massive physical resources.</abstract><pub>IEEE</pub><doi>10.1109/LCOMM.2016.2644658</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-1158-3366</orcidid><orcidid>https://orcid.org/0000-0002-6537-843X</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1089-7798 |
| ispartof | IEEE communications letters, 2017-03, Vol.21 (3), p.504-507 |
| issn | 1089-7798 1558-2558 |
| language | eng |
| recordid | cdi_ieee_primary_7797163 |
| source | IEEE Electronic Library (IEL) |
| subjects | application oriented Cloud computing Containers cost efficient Data center Heuristic algorithms Libraries Optimization resource allocation Resource management Virtual machine monitors |
| title | Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T02%3A25%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Application%20Oriented%20Dynamic%20Resource%20Allocation%20for%20Data%20Centers%20Using%20Docker%20Containers&rft.jtitle=IEEE%20communications%20letters&rft.au=Guan,%20Xinjie&rft.date=2017-03&rft.volume=21&rft.issue=3&rft.spage=504&rft.epage=507&rft.pages=504-507&rft.issn=1089-7798&rft.eissn=1558-2558&rft.coden=ICLEF6&rft_id=info:doi/10.1109/LCOMM.2016.2644658&rft_dat=%3Ccrossref_RIE%3E10_1109_LCOMM_2016_2644658%3C/crossref_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=7797163&rfr_iscdi=true |