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Automatic Resource Management And Performance Optimization In Clusters, Yudi Wei
Automatic Resource Management And Performance Optimization In Clusters, Yudi Wei
Wayne State University Dissertations
Virtual machine is a primary way to increase resource utilizations in data centers by encapsulating multi-resource demands for applications and providing performance isolation. Moreover, the resource configuration can change on the fly to satisfy performance target. Container is another popular way for fine-grained multi-resource allocation. In this disser- tation work, we aim to design and implement an automatic resource management system to improve application performance, optimize system efficiency and job completion times in virtual and physical clusters respectively.
For large-scale applications hosted in data center, automatic resource configuration is crucial to service availability and quality. The workload dynamics, cloud dynamics …
Data-Driven Intelligent Scheduling For Long Running Workloads In Large-Scale Datacenters, Guoyao Xu
Data-Driven Intelligent Scheduling For Long Running Workloads In Large-Scale Datacenters, Guoyao Xu
Wayne State University Dissertations
Cloud computing is becoming a fundamental facility of society today. Large-scale public or private cloud datacenters spreading millions of servers, as a warehouse-scale computer, are supporting most business of Fortune-500 companies and serving billions of users around the world. Unfortunately, modern industry-wide average datacenter utilization is as low as 6% to 12%. Low utilization not only negatively impacts operational and capital components of cost efficiency, but also becomes the scaling bottleneck due to the limits of electricity delivered by nearby utility. It is critical and challenge to improve multi-resource efficiency for global datacenters.
Additionally, with the great commercial success of …