Autonomic Intrusiveness Control Mechanism, Algorithm and Policies in R-Net Monitoring System

Abstract

RNMS (R-Net monitoring system), the monitoring infrastructure of R-Net virtual computing environment, takes intrusiveness control as an important research objective. RNMS tries to control the intrusiveness in many aspects. Of them, RNMS focuses on intrusiveness control in the procedure of monitoring data acquisition. Based on the concept of autonomic element, autonomic host sensors intrusiveness control mechanism and main control thought are introduced, and adaptive sensor control algorithm and policies are implemented. By practical testing, the usage background of adaptive algorithm and policies are described. Then, the monitoring accuracy and overhead are compared in different policies and configuration parameters by simulating. Comparing with the non-control policy, on the precondition of ensuring the monitoring accuracy, the monitoring with the adaptive policies can effectively reduce intrusiveness.