The integration and crosscoordination of big data processing and software‐defined
networking (SDN) are vital for improving the performance of big data applications. Various …

The MapReduce (M/R) framework used in Hadoop has become the de facto standard for big
data analytics. However, the lack of network-awareness of the default M/R resource …

Software defined network (SDN) has enabled consistent and programmable management in
computer networks. However, the explosion of cloud services and content delivery networks …

The growth of information technology along with the revolution of the industry and business
has led to the generation of an enormous amount of data. This big data needs a platform …

We examine how to provide applications with dedicated bandwidth and guaranteed latency
in a programmable mission-critical network. Unlike other SDN approaches such as B4 or …

Predictive execution of query flows in an application aware database environment. A
repository of previously received and registered database queries along with at least corre …

Application-aware database environments. A repository of previously received and
registered database queries is main tained that includes at least corresponding metadata …

One new metric that plays a vital role in evaluating the cloud service is the multi-application
makespan. There are usually multiple applications without a deadline in the cloud, while the …

Network Function Virtualization (NFV) brings a new set of challenges when deploying
virtualized services on commercial-off-the-shelf (COTS) hardware. Network functions can be …

This dissertation investigates improvement in application performance. For applications, we
consider two classes: Hadoop MapReduce and video streaming. The Hadoop MapReduce …