Cloud service selection based on contextual subjective assessment and objective assessment
نویسندگان
چکیده
This paper proposes a novel cloud service selection model based on the comparison and aggregation of contextual subjective assessment and objective assessment of cloud services. In this model, objective assessment provided by some professional testing parties is used as a benchmark to dynamically filter out biased subjective assessment extracted from cloud user feedback according to assessment context similarity. Through this model, the overall quality of cloud services can be effectively reflected with less subjective bias for potential cloud consumers.
منابع مشابه
The evaluation and assessment of deprivation level in rural areas Case: central part of Javanrood
Introduction: Poverty and deprivation are being considered as one of the master problem for the government more specifically for planners in many countries. Deprivation and combating these phenomena are in the center of regional planning. In fact regional balance attainment is being pursued as a mater regional planning target. Achieving this goal demands identification of back ward and depri...
متن کاملIdentification and Prioritization of Factors Contributing in Cloud Service Selection Using Fuzzy Best-worst Method (FBWM)
The introduction of cloud computing techniques revolutionized the current of information processing and storing. Cloud computing as a competitive edge provides easy and automated access to the vast ocean of resources through standard network mechanisms to businesses and organizations. Due to the vast diversity of service providers and their respective variety of available services with differen...
متن کاملA risk model for cloud processes
Traditionally, risk assessment consists of evaluating the probability of "feared events", corresponding to known threats and attacks, as well as these events' severity, corresponding to their impact on one or more stakeholders. Assessing risks of cloud-based processes is particularly difficult due to lack of historical data on attacks, which has prevented frequency-based identification...
متن کاملCombining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems
The collection and combination of assessment data in trustworthiness evaluation of cloud service is challenging, notably because QoS value may be missing in offline evaluation situation due to the time-consuming and costly cloud service invocation. Considering the fact that many trustworthiness evaluation problems require not only objective measurement but also subjective perception, this paper...
متن کاملA Multi-Criteria QoS-aware Trust Service Composition Algorithm in Cloud Computing Environments
In an open and dynamic cloud computing environment, the randomness of cloud services with unreliable quality leads to low accuracy in service composition. To address the above problem, this paper proposes a global trust service composition approach based on random QoS and trust evaluation, considering the multi-criteria assessment of service quality. Firstly, statistical test is employed to rem...
متن کامل