Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

As computation continues to move into the cloud, the computing platform of interest no
longer resembles a pizza box or a refrigerator, but a warehouse full of computers. These …

Cloud computing data centers are becoming increasingly popular for the provisioning of
computing resources. The cost and operating expenses of data centers have skyrocketed …

Power consumption imposes a significant cost for data centers implementing cloud services,
yet much of that power is used to maintain excess service capacity during periods of low …

This study provides an overview of power consumption models of servers in data centers.
The server is the basic unit of both power and heat flow paths; therefore, its power …

Server consolidation using virtualization technology has become increasingly important for
improving data center efficiency. It enables one physical server to host multiple independent …

Cloud computing is an emerging paradigm that provides computing, communication and
storage resources as a service over a network. Communication resources often become a …

Workload placement on servers has been traditionally driven by mainly performance
objectives. In this work, we investigate the design, implementation, and evaluation of a …

Simulation techniques have become a powerful tool for deciding the best starting conditions
on pay-as-you-go scenarios. This is the case of public cloud infrastructures, where a given …