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

Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

Within the past few years, organizations in diverse industries have adopted MapReduce-
based systems for large-scale data processing. Along with these new users, important new …

Reducing the energy footprint of warehouse-scale computer (WSC) systems is key to their
affordability, yet difficult to achieve in practice. The lack of energy proportionality of typical …

MapReduce systems face enormous challenges due to increasing growth, diversity, and
consolidation of the data and computation involved. Provisioning, configuring, and …

Interest has been growing in powering datacenters (at least partially) with renewable or"
green" sources of energy, such as solar or wind. However, it is challenging to use these …

Cloud computing has gained popularity in recent times. As a cloud must provide services to
many users at the same time and different users have different QoS requirements, the …

MapReduce workloads have evolved to include increasing amounts of time-sensitive,
interactive data analysis; we refer to such workloads as MapReduce with Interactive …