Sukhpal Singh Gill
AMinimizing the energy consumption of servers within cloud computing systems is of utmost importance to cloud providers towards reducing operational costs and enhancing service sustainability by consolidating services onto fewer active servers. Moreover, providers must also provision high levels of availability and reliability, hence cloud services are frequently replicated across servers that subsequently increases server energy consumption and resource overhead. These two objectives can present a potential conflict within cloud resource management decision making that must balance between service consolidation and replication to minimize energy consumption whilst maximizing server availability and reliability, respectively. In this keynote talk, I shall discuss a energy-reliability aware resource scheduling approach for holistic management of cloud computing resources including servers, networks, storage, and cooling systems. This technique clusters and executes heterogeneous workloads on provisioned cloud resources and enhances the energy-efficiency and reduces the carbon footprint in datacenters without adversely affecting cloud service reliability.
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