Background The life sciences, biomedicine and health care are increasingly turning into a
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …

Data Grids have been adopted as the next generation platform by many scientific
communities that need to share, access, transport, process, and manage large data …

In the past twenty years, progress in intrusion detection has been steady but slow. The
biggest challenge is to detect new attacks in real time. In this work, a deep learning …

BOINC (Berkeley Open Infrastructure for Network Computing) is a software system that
makes it easy for scientists to create and operate public-resource computing projects. It …

Until recently, application developers could often assume a target environment that was (to a
useful extent) homogeneous, reliable, secure, and centrally managed. Increasingly …

Service-oriented computing (SOC) is the computing paradigm that utilizes services as
fundamental elements for develo** applications/solutions. To build the service model …

In this paper, we review the functions and architectures of control centers: their past, present,
and likely future. The evolving changes in power system operational needs require a …

A key challenge in ad-hoc, data-gathering, wireless sensor networks is achieving a lifetime
of several years using nodes that carry merely hundreds of joules of stored energy. We …

The Knowledge Grid is an intelligent and sustainable interaction environment that consists
of autonomous individuals, self-organized semantic communities, adaptive networking …

New information architectures enable new approaches to publishing and accessing
valuable data and programs. So-called service-oriented architectures define standard …