Data centers are growing exponentially (in number and size) to accommodate the escalating user and application demands. Likewise, the concerns about the environmental impacts …
M Chen, S Mao, Y Liu - Mobile networks and applications, 2014 - Springer
In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could …
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 …
Programmable data plane hardware creates new opportunities for infusing intelligence into the network. This raises a fundamental question: what kinds of computation should be …
We present the first large-scale analysis of failures in a data center network. Through our analysis, we seek to answer several fundamental questions: which devices/links are most …
The rapid growth of emerging applications and the evolution of cloud computing technologies have significantly enhanced the capability to generate vast amounts of data …
Cluster computing applications like MapReduce and Dryad transfer massive amounts of data between their computation stages. These transfers can have a significant impact on job …
The soft real-time nature of large scale web applications in today's datacenters, combined with their distributed workflow, leads to deadlines being associated with the datacenter …