Toward scalable cloud data center simulation using high‐level architecture
Summary Existing simulators are designed to simulate a few thousand nodes due to the tight integration of modules. Thus, with limited simulator scalability, researchers/developers are unable to simulate protocols and algorithms in detail, although cloud simulators provide geographically distributed...
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| Veröffentlicht in: | Software, practice & experience practice & experience, 2020-06, Vol.50 (6), p.827-843 |
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| container_title | Software, practice & experience |
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| creator | Elahi, Bukhtawar Malik, Asad Waqar Rahman, Anis U. Khan, Muazzam A. |
| description | Summary
Existing simulators are designed to simulate a few thousand nodes due to the tight integration of modules. Thus, with limited simulator scalability, researchers/developers are unable to simulate protocols and algorithms in detail, although cloud simulators provide geographically distributed data centers environment but lack the support for execution on distributed systems. In this paper, we propose a distributed simulation framework referred to as CloudSimScale. The framework is designed on top of highly adapted CloudSim with communication among different modules managed using IEEE Std 1516 (high‐level architecture). The underlying modules can now run on the same or different physical systems and still manage to discover and communicate with one another. Thus, the proposed framework provides scalability across distributed systems and interoperability across modules and simulators. |
| doi_str_mv | 10.1002/spe.2769 |
| format | Article |
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Existing simulators are designed to simulate a few thousand nodes due to the tight integration of modules. Thus, with limited simulator scalability, researchers/developers are unable to simulate protocols and algorithms in detail, although cloud simulators provide geographically distributed data centers environment but lack the support for execution on distributed systems. In this paper, we propose a distributed simulation framework referred to as CloudSimScale. The framework is designed on top of highly adapted CloudSim with communication among different modules managed using IEEE Std 1516 (high‐level architecture). The underlying modules can now run on the same or different physical systems and still manage to discover and communicate with one another. Thus, the proposed framework provides scalability across distributed systems and interoperability across modules and simulators.</description><identifier>ISSN: 0038-0644</identifier><identifier>EISSN: 1097-024X</identifier><identifier>DOI: 10.1002/spe.2769</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Algorithms ; broker ; Cloud computing ; CloudSim ; Computer networks ; Computer simulation ; Data centers ; distributed simulation ; Geographical distribution ; HLA ; Interoperability ; Modules ; RTI ; Simulators</subject><ispartof>Software, practice & experience, 2020-06, Vol.50 (6), p.827-843</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2939-64c96f34fbeba913ce1c625d29e380c11c2b45f4f561e7f92244fe1a61b0fca93</citedby><cites>FETCH-LOGICAL-c2939-64c96f34fbeba913ce1c625d29e380c11c2b45f4f561e7f92244fe1a61b0fca93</cites><orcidid>0000-0003-3804-997X ; 0000-0002-8306-475X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fspe.2769$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fspe.2769$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Elahi, Bukhtawar</creatorcontrib><creatorcontrib>Malik, Asad Waqar</creatorcontrib><creatorcontrib>Rahman, Anis U.</creatorcontrib><creatorcontrib>Khan, Muazzam A.</creatorcontrib><title>Toward scalable cloud data center simulation using high‐level architecture</title><title>Software, practice & experience</title><description>Summary
Existing simulators are designed to simulate a few thousand nodes due to the tight integration of modules. Thus, with limited simulator scalability, researchers/developers are unable to simulate protocols and algorithms in detail, although cloud simulators provide geographically distributed data centers environment but lack the support for execution on distributed systems. In this paper, we propose a distributed simulation framework referred to as CloudSimScale. The framework is designed on top of highly adapted CloudSim with communication among different modules managed using IEEE Std 1516 (high‐level architecture). The underlying modules can now run on the same or different physical systems and still manage to discover and communicate with one another. Thus, the proposed framework provides scalability across distributed systems and interoperability across modules and simulators.</description><subject>Algorithms</subject><subject>broker</subject><subject>Cloud computing</subject><subject>CloudSim</subject><subject>Computer networks</subject><subject>Computer simulation</subject><subject>Data centers</subject><subject>distributed simulation</subject><subject>Geographical distribution</subject><subject>HLA</subject><subject>Interoperability</subject><subject>Modules</subject><subject>RTI</subject><subject>Simulators</subject><issn>0038-0644</issn><issn>1097-024X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp10M1KAzEUhuEgCtYqeAkBN26m5m8yzVJK_YGCghXchUzmpE1JZ2oyY-nOS_AavRKn1q2rs3k4H7wIXVIyooSwm7SBESukOkIDSlSRESbejtGAED7OiBTiFJ2ltCKE0pzJAZrNm62JFU7WBFMGwDY0XYUr0xpsoW4h4uTXXTCtb2rcJV8v8NIvlt-fXwE-IGAT7dK3YNsuwjk6cSYkuPi7Q_R6N51PHrLZ0_3j5HaWWaa4yqSwSjouXAmlUZRboFayvGIK-JhYSi0rRe6EyyWFwinGhHBAjaQlcdYoPkRXh7-b2Lx3kFq9arpY95OacaXyQjFBenV9UDY2KUVwehP92sSdpkTvW-m-ld636ml2oFsfYPev0y_P01__A5pYbDE</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Elahi, Bukhtawar</creator><creator>Malik, Asad Waqar</creator><creator>Rahman, Anis U.</creator><creator>Khan, Muazzam A.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-3804-997X</orcidid><orcidid>https://orcid.org/0000-0002-8306-475X</orcidid></search><sort><creationdate>202006</creationdate><title>Toward scalable cloud data center simulation using high‐level architecture</title><author>Elahi, Bukhtawar ; Malik, Asad Waqar ; Rahman, Anis U. ; Khan, Muazzam A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2939-64c96f34fbeba913ce1c625d29e380c11c2b45f4f561e7f92244fe1a61b0fca93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>broker</topic><topic>Cloud computing</topic><topic>CloudSim</topic><topic>Computer networks</topic><topic>Computer simulation</topic><topic>Data centers</topic><topic>distributed simulation</topic><topic>Geographical distribution</topic><topic>HLA</topic><topic>Interoperability</topic><topic>Modules</topic><topic>RTI</topic><topic>Simulators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elahi, Bukhtawar</creatorcontrib><creatorcontrib>Malik, Asad Waqar</creatorcontrib><creatorcontrib>Rahman, Anis U.</creatorcontrib><creatorcontrib>Khan, Muazzam A.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Software, practice & experience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elahi, Bukhtawar</au><au>Malik, Asad Waqar</au><au>Rahman, Anis U.</au><au>Khan, Muazzam A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Toward scalable cloud data center simulation using high‐level architecture</atitle><jtitle>Software, practice & experience</jtitle><date>2020-06</date><risdate>2020</risdate><volume>50</volume><issue>6</issue><spage>827</spage><epage>843</epage><pages>827-843</pages><issn>0038-0644</issn><eissn>1097-024X</eissn><abstract>Summary
Existing simulators are designed to simulate a few thousand nodes due to the tight integration of modules. Thus, with limited simulator scalability, researchers/developers are unable to simulate protocols and algorithms in detail, although cloud simulators provide geographically distributed data centers environment but lack the support for execution on distributed systems. In this paper, we propose a distributed simulation framework referred to as CloudSimScale. The framework is designed on top of highly adapted CloudSim with communication among different modules managed using IEEE Std 1516 (high‐level architecture). The underlying modules can now run on the same or different physical systems and still manage to discover and communicate with one another. Thus, the proposed framework provides scalability across distributed systems and interoperability across modules and simulators.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/spe.2769</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0003-3804-997X</orcidid><orcidid>https://orcid.org/0000-0002-8306-475X</orcidid></addata></record> |
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| ispartof | Software, practice & experience, 2020-06, Vol.50 (6), p.827-843 |
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| language | eng |
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| source | Wiley Online Library |
| subjects | Algorithms broker Cloud computing CloudSim Computer networks Computer simulation Data centers distributed simulation Geographical distribution HLA Interoperability Modules RTI Simulators |
| title | Toward scalable cloud data center simulation using high‐level architecture |
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