An Analysis of Fog Computing Data Placement Algorithms
This work evaluates three Fog Computing dataplacement algorithms via experiments carried out with theiFogSim simulator. The paper describes the three algorithms(Cloud-only, Mapping, Edge-ward) in the context of an Internetof Things scenario, which has been based on an e-Health systemwith variations...
Gespeichert in:
| Veröffentlicht in: | arXiv.org 2020-05 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | arXiv.org |
| container_volume | |
| creator | Daniel Maniglia Amancio da Silva Godwin Asamooning Orrillo, Hector Sofia, Rute C Mendes, Paulo M |
| description | This work evaluates three Fog Computing dataplacement algorithms via experiments carried out with theiFogSim simulator. The paper describes the three algorithms(Cloud-only, Mapping, Edge-ward) in the context of an Internetof Things scenario, which has been based on an e-Health systemwith variations in applications and network topology. Resultsachieved show that edge placement strategies are beneficial toassist cloud computing in lowering latency and cloud energyexpenditure. |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2406737715</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2406737715</sourcerecordid><originalsourceid>FETCH-proquest_journals_24067377153</originalsourceid><addsrcrecordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mQwc8xTcMxLzKkszixWyE9TcMtPV3DOzy0oLcnMS1dwSSxJVAjISUxOzU3NK1FwzEnPL8osycgt5mFgTUvMKU7lhdLcDMpuriHOHroFRfmFpanFJfFZ-aVFQHOL441MDMzMjc3NDU2NiVMFAHKsNLY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2406737715</pqid></control><display><type>article</type><title>An Analysis of Fog Computing Data Placement Algorithms</title><source>Freely Accessible Journals</source><creator>Daniel Maniglia Amancio da Silva ; Godwin Asamooning ; Orrillo, Hector ; Sofia, Rute C ; Mendes, Paulo M</creator><creatorcontrib>Daniel Maniglia Amancio da Silva ; Godwin Asamooning ; Orrillo, Hector ; Sofia, Rute C ; Mendes, Paulo M</creatorcontrib><description>This work evaluates three Fog Computing dataplacement algorithms via experiments carried out with theiFogSim simulator. The paper describes the three algorithms(Cloud-only, Mapping, Edge-ward) in the context of an Internetof Things scenario, which has been based on an e-Health systemwith variations in applications and network topology. Resultsachieved show that edge placement strategies are beneficial toassist cloud computing in lowering latency and cloud energyexpenditure.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Algorithms ; Cloud computing ; Computer simulation ; Mapping ; Network topologies ; Placement</subject><ispartof>arXiv.org, 2020-05</ispartof><rights>2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780</link.rule.ids></links><search><creatorcontrib>Daniel Maniglia Amancio da Silva</creatorcontrib><creatorcontrib>Godwin Asamooning</creatorcontrib><creatorcontrib>Orrillo, Hector</creatorcontrib><creatorcontrib>Sofia, Rute C</creatorcontrib><creatorcontrib>Mendes, Paulo M</creatorcontrib><title>An Analysis of Fog Computing Data Placement Algorithms</title><title>arXiv.org</title><description>This work evaluates three Fog Computing dataplacement algorithms via experiments carried out with theiFogSim simulator. The paper describes the three algorithms(Cloud-only, Mapping, Edge-ward) in the context of an Internetof Things scenario, which has been based on an e-Health systemwith variations in applications and network topology. Resultsachieved show that edge placement strategies are beneficial toassist cloud computing in lowering latency and cloud energyexpenditure.</description><subject>Algorithms</subject><subject>Cloud computing</subject><subject>Computer simulation</subject><subject>Mapping</subject><subject>Network topologies</subject><subject>Placement</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mQwc8xTcMxLzKkszixWyE9TcMtPV3DOzy0oLcnMS1dwSSxJVAjISUxOzU3NK1FwzEnPL8osycgt5mFgTUvMKU7lhdLcDMpuriHOHroFRfmFpanFJfFZ-aVFQHOL441MDMzMjc3NDU2NiVMFAHKsNLY</recordid><startdate>20200524</startdate><enddate>20200524</enddate><creator>Daniel Maniglia Amancio da Silva</creator><creator>Godwin Asamooning</creator><creator>Orrillo, Hector</creator><creator>Sofia, Rute C</creator><creator>Mendes, Paulo M</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20200524</creationdate><title>An Analysis of Fog Computing Data Placement Algorithms</title><author>Daniel Maniglia Amancio da Silva ; Godwin Asamooning ; Orrillo, Hector ; Sofia, Rute C ; Mendes, Paulo M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_24067377153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Cloud computing</topic><topic>Computer simulation</topic><topic>Mapping</topic><topic>Network topologies</topic><topic>Placement</topic><toplevel>online_resources</toplevel><creatorcontrib>Daniel Maniglia Amancio da Silva</creatorcontrib><creatorcontrib>Godwin Asamooning</creatorcontrib><creatorcontrib>Orrillo, Hector</creatorcontrib><creatorcontrib>Sofia, Rute C</creatorcontrib><creatorcontrib>Mendes, Paulo M</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</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></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Daniel Maniglia Amancio da Silva</au><au>Godwin Asamooning</au><au>Orrillo, Hector</au><au>Sofia, Rute C</au><au>Mendes, Paulo M</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>An Analysis of Fog Computing Data Placement Algorithms</atitle><jtitle>arXiv.org</jtitle><date>2020-05-24</date><risdate>2020</risdate><eissn>2331-8422</eissn><abstract>This work evaluates three Fog Computing dataplacement algorithms via experiments carried out with theiFogSim simulator. The paper describes the three algorithms(Cloud-only, Mapping, Edge-ward) in the context of an Internetof Things scenario, which has been based on an e-Health systemwith variations in applications and network topology. Resultsachieved show that edge placement strategies are beneficial toassist cloud computing in lowering latency and cloud energyexpenditure.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | EISSN: 2331-8422 |
| ispartof | arXiv.org, 2020-05 |
| issn | 2331-8422 |
| language | eng |
| recordid | cdi_proquest_journals_2406737715 |
| source | Freely Accessible Journals |
| subjects | Algorithms Cloud computing Computer simulation Mapping Network topologies Placement |
| title | An Analysis of Fog Computing Data Placement Algorithms |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T07%3A23%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=An%20Analysis%20of%20Fog%20Computing%20Data%20Placement%20Algorithms&rft.jtitle=arXiv.org&rft.au=Daniel%20Maniglia%20Amancio%20da%20Silva&rft.date=2020-05-24&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E2406737715%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2406737715&rft_id=info:pmid/&rfr_iscdi=true |