FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS

Abstract

By virtue of technology and benefit advantages, cloud computing has increasingly attracted a large number of potential cloud consumers (PCC) plan to migrate traditional business to the cloud service. However, trust has become one of the most challenging issues that prevent the PCC from adopting cloud services, especially in trustworthy cloud service selection. In addition, due to the diversity and dynamic of quality of service (QoS) in cloud environment, the existing trust assessment methods based on the single constant value of QoS attribute and the subjective weight assignment are not good enough to provides an effective solution for PCCs to identify and select a trustworthy cloud service among a wide range of functionally-equivalent cloud service providers (CSP). To address the challenge, a novel assessment and selection framework for trustworthy cloud service, FASTCloud, is proposed in this study. This framework facilitate PCCs to select a trustworthy cloud service based on their actual QoS requirements. In order to accurately and efficiently assess the trust level of cloud services, a QoS-based trust assessment model is proposed. This model represents a trust level assessment method based on the interval multiple attributes with a objective weight assignment method based on the deviation maximization to adaptively determine the trust level of different cloud services provisioned by candidate CSPs. The advantage of proposed trust level assessment method in time complexity is demonstrated by the performance analysis

CBiLSTM: A Hybrid Deep Learning Model for Efficient Reputation Assessment of Cloud Services

“…Monitoring platforms by multiple clients using the same or different services is not supported. Furthermore, the actively gathered QoS information of service providers from open sources can be incomplete and inaccurate due to inconsistent updates made by service providers [5], [26].…”

“…Li et al in [26] proposed a framework, named FASTCloud, that facilitated the selection of trustworthy cloud services by Potential Cloud service Consumers (PCCs) and enhanced the feasibility of the acquisition of QoS information. The model collects information related to QoS attributes of different cloud services (i.e., Service Level Objectives (SLOs) and Actual Monitoring Values (AMVs)) from Cloud Service Providers (CSPs) and Cloud Service Consumers (CSCs), respectively.…”