{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T04:36:08Z","timestamp":1719981368587},"reference-count":42,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2020,2,4]],"date-time":"2020-02-04T00:00:00Z","timestamp":1580774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The Ocean provides benefits of free cooling for cloud computing platforms. However, the use of the ocean for hosting cloud platforms needs to consider three challenges. The first challenge is identifying suitable underwater locations for siting underwater data centres. The second is designing a low-cost method for acquiring underwater data centres. The third is designing a mechanism ensuring that the use of the ocean for hosting data centres is scalable. This paper proposes the intelligent marine compute locator (IMCL) to identify suitable locations for siting underwater data centres. The proposed IMCL determines the specific heat capacity of different ocean locations at multiple epochs. In addition, the conversion of end-of-life vessels into artificial reefs that host open-source disaggregated hardware computing payload is proposed to reduce acquisition costs. The use of disaggregated architecture enables multiple cloud service providers to use limited ocean locations. The formulated metrics are the power usage effectiveness (PUE) and ocean space utilization (OSU). Simulations show that the use of disaggregated design architecture instead of non-disaggregated architecture (existing mechanism) enhances the PUE and OSU by 4.4 and 16.4% on average, respectively.<\/jats:p>","DOI":"10.1093\/comjnl\/bxz169","type":"journal-article","created":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T20:08:24Z","timestamp":1577218104000},"page":"927-941","source":"Crossref","is-referenced-by-count":10,"title":["Architecture and System Design for Marine Cloud Computing Assets"],"prefix":"10.1093","volume":"63","author":[{"given":"A A","family":"Periola","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering Technology, University of Johannesburg, 55 Beit St, Doornfontein Campus, Doornfontein, 2028 Johannesburg, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A A","family":"Alonge","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering Technology, University of Johannesburg, 55 Beit St, Doornfontein Campus, Doornfontein, 2028 Johannesburg, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K A","family":"Ogudo","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering Technology, University of Johannesburg, 55 Beit St, Doornfontein Campus, Doornfontein, 2028 Johannesburg, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,2,4]]},"reference":[{"key":"2020062002533088500_ref1","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1109\/TSUSC.2017.2697768","article-title":"A belief rule based expert system for datacenter PUE prediction under uncertainty","volume":"2","author":"Hossain","year":"2017","journal-title":"IEEE Transactions on Sustainable Computing"},{"key":"2020062002533088500_ref2","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1109\/MSPEC.2011.5779795","article-title":"Under the Hood at Google and Facebook","volume":"48","author":"Schneider","year":"2011","journal-title":"IEEE Spectrum"},{"key":"2020062002533088500_ref3","doi-asserted-by":"crossref","first-page":"1399","DOI":"10.1007\/s12053-018-9753-2","article-title":"A review on energy efficiency and demand response with focus on small and medium data centers","volume":"12","author":"Vasques","year":"2019","journal-title":"Energy Efficiency"},{"key":"2020062002533088500_ref4","volume-title":"\u2018Incorporating diversity in cloud-computing: a novel paradigm and architecture for enhancing the performance of future cloud radio access networks\u2019, Wireless Networks (2018) DOI","author":"Periola","year":"2018"},{"key":"2020062002533088500_ref5","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1109\/MSPEC.2017.7864753","article-title":"Dunking the data center","volume":"3","author":"Cutler Fowers","year":"2017","journal-title":"IEEE Spectrum"},{"key":"2020062002533088500_ref6"},{"key":"2020062002533088500_ref7","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/WiSEE.2016.7877306","volume-title":"IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","author":"Rosekrantz","year":"2016"},{"key":"2020062002533088500_ref8","first-page":"1","article-title":"A complete model for modular simulation of data centre power load","volume":"14","author":"Rahman","year":"2017","journal-title":"Journal of IEEE Transaction on Automation Science and Engineering"},{"key":"2020062002533088500_ref9","first-page":"1","article-title":"Project Natick \u2013 Microsoft\u2019s self-sufficient underwater datacentres","volume":"4","author":"Simon","year":"2018","journal-title":"IndraStra Global"},{"key":"2020062002533088500_ref10","author":"Roach","year":"2018"},{"key":"2020062002533088500_ref11","first-page":"1","volume-title":"IOP Conf. 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