H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers

Cheng Mingxi
Cheng Mingxi
Cited by: 2|Views10

Abstract:

Cloud computing has attracted both end-users and Cloud Service Providers (CSPs) in recent years. Improving resource utilization rate (RUtR), such as CPU and memory usages on servers, while maintaining Quality-of-Service (QoS) is one key challenge faced by CSPs with warehouse-scale data centers. Prior works proposed various algorithms to...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments