Time-Waved Monitoring and Emergent Self Adaption of Software Components in Open Source Cloud

Abstract

Optimized resource utilization and low cost of service has enabled the cloud to become a popular service in today's world. However, rapid scaling, continuous attacks from hackers, dynamic resource provisioning and distributed nature has made it a complex system to manually monitor and manage by system administrators. This paper proposes an effective time-waved framework for monitoring the cloud and reporting undesirable activities with minimum time delay. Next, it presents a mechanism to self-adapt the attacked modules through allocation of healthy ancillary resources. Performance analysis of the proposed framework yields desirable time complexities of 17.0, 26.6, 27.3 and 18.6 seconds for 4 types of attacks tested here. Also, replacing paralyzed cloud virtual machines (vm) with healthy ones requires 8.4 seconds on average, resulting in desirable performance. The experimentation on open source platform show that the proposed schemes enable better monitoring of cloud services.