Energy Consumption Analysis of Scheduling Algorithms for Cloud Computing Systems

With more and more data and service moved to different cloud computing systems, progress in the area of energy consumption and environmentally friendly practices must be made so these advancements do not plateau. The goal of this study is to provide exceptional insight regarding which scheduling algorithms will yield environmentally sustainable, commonly referred to as ‘green,’ practices for energy efficiency. This will be achieved by tracking the similarities and differences of multiple scheduling algorithms, considering various datacenter topologies and their task sizes (MIPS). Trace files produced by the simulator will be used to create a visual representation of the observed data and analyze the energy consumption of the servers and switches (core, aggregation, and access).