REMO: Resource-Aware Application State Monitoring for Large-Scale Distributed Systems
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
Tide: achieving self-scaling in virtualized datacenter management middleware
Proceedings of the 11th International Middleware Conference Industrial track
State Monitoring in Cloud Datacenters
IEEE Transactions on Knowledge and Data Engineering
Reliable State Monitoring in Cloud Datacenters
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
Resource-Aware Application State Monitoring
IEEE Transactions on Parallel and Distributed Systems
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State monitoring is a fundamental building block for Cloud services. The demand for providing state monitoring as services (MaaS) continues to grow and is evidenced by Cloud-Watch from Amazon EC2, which allows Cloud consumers to pay for monitoring a selection of performance metrics with coarse-grained periodical sampling of runtime states. This dissertation research [1], awarded with the SPEC Distinguished Dissertation Award 2012, is dedicated to innovative research and development of an elastic framework for providing state monitoring as a service (MaaS). We analyze limitations of existing techniques, systematically identify the need and the challenges at different layers of a Cloud monitoring service platform, and develop a suite of distributed monitoring techniques to support flexible monitoring infrastructure, cost-effective state monitoring and monitoring-enhanced Cloud management.