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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) ...
Joint resource scheduling and peak power shaving for cloud data centers with distributed Uninterruptible power Supply
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
The grid company enforces high penalties for the peak power demands of cloud data centers. These high penalties result in high electricity bill that can be avoided by relying on the servers' Uninterruptible Power Supply ...
Online assignment and placement of cloud task requests with heterogeneous requirements
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Managing cloud resources in a way that reduces the consumed energy while also meeting clients demands is a challenging task. In this paper, we propose an energy-aware resource allocation framework that: i) places the ...
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce ...
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 ...