Dependable cloud computing
Dependable cloud computing is an increasingly important solution for providing services deployed in dynamically scalable cloud networks. Services in the cloud computing networks may be virtualized with specific servers which host abstracted details. Some of the servers are active and available, while others are busy or heavy loaded, and the remaining are offline for various reasons. Users would expect the right and available servers to complete their application requirements. Therefore, in order to provide an effective control scheme with parameter guidance for cloud resource services, failure detection is essential to meet users' service expectations. It can resolve possible performance bottlenecks in providing the virtual service for the cloud computing networks. Most existing Failure Detector (FD) schemes do not automatically adjust their detection service parameters for the dynamic network conditions, thus they couldn't be used for actual application. This presentation explores FD properties with relation to the actual and automatic fault-tolerant cloud computing networks, and proposes three general analysis methods to satisfy user requirements. Based on these general methods, we propose some special and dynamic Failure Detector, as a major breakthrough in the existing schemes. We carry out actual and extensive experiments to compare the quality of service performance between our FDs and several other existing FDs. Our experimental results demonstrate that our scheme can adjust FD control parameters to obtain better services. Such FDs are adjusted in IBM cloud computing platform, and hope to be extensively applied to industrial and commercial usage. Speaker(s): Dr. Neal Xiong, Room: 128, Bldg: School of Engineering, Technology and Aeronautics, 2500 North River Road, Manchester, New Hampshire, United States, 03106