Data centers in public, private, and hybrid cloud settings make it possible to provision virtual
machines (VMs) with unprecedented flexibility. However, purchasing, operating, and …

The world is becoming a more conjunct place and the number of data sources such as
social networks, online transactions, web search engines, and mobile devices is increasing …

One of many advantages of the cloud is the elasticity, the ability to dynamically acquire or
release computing resources in response to demand. However, this elasticity is only …

A goal in cloud computing is to allocate (and thus pay for) only those cloud resources that
are truly needed. To date, cloud practitioners have pursued schedule-based (eg, time-of …

Cloud providers possessing large quantities of spare capacity must either incentivize clients
to purchase it or suffer losses. Amazon is the first cloud provider to address this challenge …

Most of the current cloud computing providers allocate virtual machine instances to their
users through fixed-price allocation mechanisms. We argue that combinatorial auction …

We can increase the efficiency of public cloud datacenters by harvesting allocated but
temporarily idling CPU cores from customer virtual machines (VMs) to run batch or analytics …

The advent of cloud computing promises to provide computational resources to customers
like public utilities such as water and electricity. To deal with dynamically fluctuating …

Infrastructure-as-a-Service (IaaS) cloud platforms have brought two unprecedented changes
to cluster provisioning practices. First, any (nonexpert) user can provision a cluster of any …

Data analytics are key applications running in the cloud computing environment. To improve
performance and cost-effectiveness of a data analytics cluster in the cloud, the data analytics …