Stochastic Decision Making for Adaptive Crowdsourcing in Medical Big-Data Platforms
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Joongheon | - |
dc.contributor.author | Lee, Wonjun | - |
dc.date.accessioned | 2021-09-04T11:05:53Z | - |
dc.date.available | 2021-09-04T11:05:53Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2015-11 | - |
dc.identifier.issn | 2168-2216 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/92069 | - |
dc.description.abstract | This paper proposes two novel algorithms for adaptive crowdsourcing in 60-GHz medical imaging big-data platforms, namely, a max-weight scheduling algorithm for medical cloud platforms and a stochastic decision-making algorithm for distributed power-and-latency-aware dynamic buffer management in medical devices. In the first algorithm, medical cloud platforms perform a joint queue-backlog and rate-aware scheduling decisions for matching deployed access points (APs) and medical users where APs are eventually connected to medical clouds. In the second algorithm, each scheduled medical device computes the amounts of power allocation to upload its own medical data to medical big-data clouds with stochastic decision making considering joint energy-efficiency and buffer stability optimization. Through extensive simulations, the proposed algorithms are shown to achieve the desired results. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | NETWORK | - |
dc.title | Stochastic Decision Making for Adaptive Crowdsourcing in Medical Big-Data Platforms | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Wonjun | - |
dc.identifier.doi | 10.1109/TSMC.2015.2415463 | - |
dc.identifier.scopusid | 2-s2.0-84969963360 | - |
dc.identifier.wosid | 000363231900008 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.45, no.11, pp.1471 - 1476 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | - |
dc.citation.title | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | - |
dc.citation.volume | 45 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1471 | - |
dc.citation.endPage | 1476 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.subject.keywordPlus | NETWORK | - |
dc.subject.keywordAuthor | 60 GHz | - |
dc.subject.keywordAuthor | dynamic buffering | - |
dc.subject.keywordAuthor | IEEE 802.11ad | - |
dc.subject.keywordAuthor | medical big-data platforms | - |
dc.subject.keywordAuthor | stochastic decision making | - |
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