Two-way Ranking Based Service Mapping in Cloud Environment
作者： Neeraj Yadav , Major Singh Goraya
DOI: 10.1016/J.FUTURE.2017.11.027
关键词: Quality of service 、 Process (engineering) 、 Computer science 、 Business model 、 Data mining 、 Ranking 、 Analytic hierarchy process 、 Service (business) 、 Cloud computing
摘要: Abstract In the recent times, a large number of cloud services are being made available by enormous service providers (CSPs). The CSPs with variety Quality Service (QoS) attributes. mapping is process allocating requesting customers (SRCs) to an appropriate CSP among available. availability and their QoS attributes complicates mapping. literature, it considered as multi-criteria decision-making (MCDM) problem rank based selection suitable proposed for Ranking evaluated on offered value desired SRC. Cloud analogous business model where provider–customer relationship established. perspective, preference both participating entities (i.e. SRCs) regarding must be during Therefore, this paper proposes novel two-way ranking framework (TRCSM). in considering them well counterpart. Analytic Hierarchy Process (AHP) has been used evaluate score SRCs TRCSM. TRCSM depicted through case study paper. Sensitivity analysis performed validate stability process. execution time algorithm extensive simulation experiments. Results prove reasonability framework.
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