Making Enterprise Computing Green: Efficiency Challenges in Warehouse-Scale Computers
In this talk, I discuss what, if anything, can be done to make OLDI systems more energy-proportional. Specifically, through a case study of Google's Web Search application, I will discuss the applicability of existing and proposed active and idle low-power modes to reduce the power consumed by the primary server components (processor, memory, and disk), while maintaining tight response time constraints, particularly on 95th-percentile latency. Then, I will briefly discuss our work on PowerRouting, a proposal to dynamically switch servers among redundant power feeds to reduce overprovisioning in data center power delivery infrastructure. Finally, I will close with comments on our ongoing work examining server and cluster-level performance optimization for memcached, a distributed main-memory key-value store that acts as a cache for more expensive durable stores (e.g., a DBMS) and is a key piece of infrastructure for OLDI services.
Thomas Wenisch is the Morris Wellman Faculty Development Assistant Professor of Computer Science and Engineering at the University of Michigan, specializing in computer architecture. Tom's prior research includes memory streaming for commercial server applications, store-wait-free multiprocessor memory systems, memory disaggregation, and rigorous sampling-based performance evaluation methodologies. His ongoing work focuses on data center architecture, energy-efficient server design, and multi-core / multiprocessor memory systems. Tom received an NSF CAREER award in 2009. Prior to his academic career, Tom was a software developer at American Power Conversion, where he worked on data center thermal topology estimation. He is co-inventor on four patents. Tom received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.