REMO: Resource-Aware Application State Monitoring for Large-Scale Distributed Systems

To observe, analyze and control large scale distributed systems and the applications hosted on them, there is an increasing need to continuously monitor performance attributes of distributed system and application states. This results in application state monitoring tasks that require finegrained attribute information to be collected from relevant nodes efficiently. Existing approaches either treat multiple application state monitoring tasks independently and build ad-hoc monitoring trees for each task, or construct a single static monitoring tree for multiple tasks. We argue that a careful planning of multiple application state monitoring tasks by jointly considering multi-task optimization and node level resource constraints can provide significant gains in performance and scalability. In this paper, we present REMO, a REsource-aware application state MOnitoring system. REMO produces a forest of optimized monitoring trees through iterations of two phases, one phase exploring cost...

• Type: Conference
• Year: 2009
• Where: ICDCS
• Authors: Shicong Meng, Srinivas R. Kashyap, Chitra Venkatramani, Ling Liu
• Keywords: Ad-hoc Monitoring Trees, Computer Science, ICDCS 2009, State Monitoring System, State Monitoring Tasks