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Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation
2014 IEEE 34th International Conference on Distributed Computing Systems
Service-based cloud applications are typically built on component services to fulfill certain application logic. To meet quality-of-service (QoS) guarantees, these applications have to become resilient against the QoS variations of their component services. Runtime service adaptation has been recognized as a key solution to achieve this goal. To make timely and accurate adaptation decisions, effective QoS prediction is desired to obtain the QoS values of component services. However, currentdoi:10.1109/icdcs.2014.40 dblp:conf/icdcs/ZhuHZL14 fatcat:fulbhgnyova7hos2277pwidseq