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Now showing items 1-4 of 4
Release-time aware VM placement
(
IEEE
, 2014 , Conference Paper)
Consolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin ...
Reducing data center energy consumption through peak shaving and locked-in energy avoidance
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
The grid company enforces high penalties for the peak power demands of cloud data centers. These penalties result in high electricity bills that can be avoided by relying on the servers' uninterruptible power supply (UPS) ...
Exploiting Task Elasticity and Price Heterogeneity for Maximizing Cloud Computing Profits
(
IEEE Computer Society
, 2018 , Article)
This paper exploits cloud task elasticity and price heterogeneity to propose an online resource management framework that maximizes cloud profits while minimizing energy expenses. This is done by reducing the duration ...
Efficient datacenter resource utilization through cloud resource overcommitment
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
We propose an efficient resource allocation framework for overcommitted clouds that makes great energy savings by 1) minimizing PM overloads via resource usage prediction, and 2) reducing the number of active PMs via ...