A framework is presented to deploy a smartphone-based measurement system for road
vehicle traffic monitoring and usage-based insurance (UBI). Through the aid of a …

Obtaining optimal data transfer performance is of utmost importance to today's data-
intensive distributed applications and wide-area data replication services. Tuning …

The progression of Internet of Things (IoT) has resulted in generation of huge amount of
data. Effective handling and analysis of such big volumes of data proposes a crucial …

Running data-intensive scientific workflow across multiple data centers faces massive data
transfer problem which leads to low efficiency in actual workflow application for scientists. By …

Stream computing applications require minimum latency and high throughput for efficiently
processing real-time data. Typically, data-intensive applications where large datasets are …

In the big data era, scientific workflow exhibits the characteristics of data intensity and
becomes increasingly popular in scientific domains. Efficient scheduling of data‐intensive …

The amount of data transferred over dedicated and non-dedicated network links has been
increasing much faster than the increase in the network capacity. On the other hand, the …

There is a lot of data generated by the network is growing every day. MapReduce is a
promising parallel programming model for processing large data. In this paper we surveyed …

Automated workflows are the key concept of big data pipelines in science, engineering and
enterprise applications. The performance analysis of automated workflows is an important …

This is a book about software engineering, bioinformatics, the C++ programming language
and the SeqAn library. In the broadest sense, it will help the reader create better, faster and …