An On-demand Monitoring Approach for Cloud Computing Systems

The number of virtual machines in cloud computing is constantly changing with business requirements, which raises a great challenge for monitoring dynamic objects. Traditional static monitoring methods set fixed monitoring cycles, but it is difficult to make a suitable tradeoff between monitoring timeliness and cost in cloud computing systems with a large number of virtual machines or container instances. To address the above issues, this paper proposes an on-demand monitoring approach for cloud computing. We introduce a variable cycle mechanism and an event driven mechanism in the interaction between agents and collectors to minimize network overhead and maximize monitoring efficiency. Finally, experimental results in TPC-W benchmark show that compared to the method with a fixed monitoring cycle, our approach has a lower monitoring overhead.