FAILURE - RELATED ENERGY WASTE IN WIDE - RANGE CLOUD ENVIRONMENT

Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service to clients; it is therefore extremely important to under stand and enumerate the explicit impact of failures within a system in terms of energy costs. This paper presents the first inclusive analysis of the impact of failures on energy consumption in a real - world large - scale cloud system (comprising over 12,500 servers), including the study of failure and energy trends of the spatial and temporal environmental characteristics. Our results show that 88% of task failure events occur in lower priority tasks producing 13% of total energy waste, and 1% of failure even ts occur in higher priority tasks due to server failures producing 8% of total energy waste. These results highlight an unintuitive but significant impact on energy consumption due to failures, providing a strong foundation for research into dependable ene rgy - aware cloud computing