Towards Pricing for Sensor-Cloud

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Fältnamn	Indikatorer	Metadata
000		03132naa a2200433 4500
001		oai:DiVA.org:uu-430202
003		SwePub
008		210108s2020 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4302022 URI
024	7	a https://doi.org/10.1109/TCC.2017.26495252 DOI
040		a (SwePub)uu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Zhu, Chunshengu Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada4 aut
245	1 0	a Towards Pricing for Sensor-Cloud
264	1	c 2020
338		a print2 rdacarrier
520		a Motivated by complementing the ubiquitous wireless sensor networks (WSNs) and powerful cloud computing (CC), a lot of attention from both industry and academia has been drawn to Sensor-Cloud (SC). However, SC pricing is barely investigated. Towards pricing for SC, this paper 1) introduces five SC Pricing Models (SCPMs) first. Specifically, to charge a SC user, each SCPM considers one of the following factors respectively: i) the lease period of the SC user; ii) the required working time of SC; iii) the SC resources utilized by the SC user; iv) the volume of sensory data obtained by the SC user; v) the SC path that transmits sensory data from the WSN to the SC user. Further, this paper 2) performs analysis to discuss and exhibit the characteristics of the proposed SCPMs. With that, this paper 3) presents the case studies regarding the application of SCPMs. Eventually, this paper 4) conducts a review about the user behavior study. This paper aims to serve as a very favorable guidance for future research about pricing in SC.
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
653		a Sensor-cloud
653		a pricing model
653		a analysis
653		a lease period
653		a resource
653		a sensory data
653		a path
653		a user behavior
700	1	a Li, Xiuhuau Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada4 aut
700	1	a Leung, Victor C. M.u Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada4 aut
700	1	a Yang, Laurence T.u St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G 2W5, Canada4 aut
700	1	a Ngai, Edith C.-H.u Uppsala universitet,Datorteknik,Datalogi4 aut0 (Swepub:uu)eding810
700	1	a Shu, Leiu Guangdong Univ Petrochem Technol, Guangdong Prov Key Lab Petrochem Equipment Fault, Maoming 525000, Guangdong, Peoples R China4 aut
710	2	a Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canadab St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS B2G 2W5, Canada4 org
773	0	t IEEE Transactions on Cloud Computingg 8:4, s. 1018-1029q 8:4<1018-1029x 2168-7161
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-430202
856	4 8	u https://doi.org/10.1109/TCC.2017.2649525

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