The term big data occurs more frequently now than ever before. A large number of fields and
subjects, ranging from everyday life to traditional research fields (ie, geography and …

Threats of distributed denial of service (DDoS) attacks have been increasing day-by-day due
to rapid development of computer networks and associated infrastructure, and millions of …

The increasing amount of data that needs to be collected and analyzed requires large-scale
datacenter architectures that are naturally more susceptible to faults of single components …

Load balancing techniques (eg work stealing) are important to obtain the best performance
for distributed task scheduling systems that have multiple schedulers making scheduling …

In this paper, two mHealth applications are introduced, which can be employed as the
terminals of bigdata based health service to collect information for electronic medical …

State-of-the-art, yet decades-old, architecture of high-performance computing systems has
its compute and storage resources separated. It thus is limited for modern data-intensive …

Commercial clouds bring a great opportunity to the scientific computing area. Scientific
applications usually require significant resources, however not all scientists have access to …

Resource and job management software is crucial to High Performance Computing (HPC)
for efficient application execution. However, current systems and approaches can no longer …

In this paper we study the problem of content-based image retrieval. In this problem, the
most popular performance measure is the top precision measure, and the most important …

In recent years, in-memory key-value storage systems have become more and more popular
in solving real-time and interactive tasks. Compared with disks, memories have much higher …