With rapid deployment of modern data center networks (DCNs), many problems with respect
to DCN architecture, congestion notification, TCP Incast, and power consumption have been …

Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …

The main aim of this study is to propose a novel hybrid intelligent model named MBSVM
which is an integration of the MultiBoost ensemble and a support vector machine (SVM) for …

This self-contained introduction to the distributed control of robotic networks offers a
distinctive blend of computer science and control theory. The book presents a broad set of …

A fundamental challenge in data center networking is how to efficiently interconnect an
exponentially increasing number of servers. This paper presents DCell, a novel network …

A new model for task scheduling that dramatically improves the efficiency of parallel systems
Task scheduling for parallel systems can become a quagmire of heuristics, models, and …

The goal of data center networking is to interconnect a large number of server machines with
low equipment cost, high and balanced network capacity, and robustness to link/server …

Large companies like Facebook, Google, and Microsoft as well as a number of small and
medium enterprises daily process massive amounts of data in batch jobs and in real time …

This paper introduces a new variant of the popular n-dimensional hypercube network Q n,
known as the n-dimensional locally twisted cube LTQ n, which has the same number of …

One of the most important subject which many researchers depending on it by applying
many algorithms and methods is Cloud Computing. Some of these methods were used to …