Abstract Emerging collaborative Peer-to-Peer (P2P) systems require discovery and
utilization of diverse, multi-attribute, distributed, and dynamic groups of resources to achieve …

There are plenty of problems where the data available is scarce and expensive. We propose
a generator of semiartificial data with similar properties to the original data, which enables …

In this paper we present a method used in quantitative description of weakly predictable
hydrological, extreme events at inland sea. Investigations for correlations between variations …

Emerging collaborative Peer-to-Peer (P2P) applications rely on resource discovery solutions
to aggregate groups of heterogeneous, multi-attribute, and dynamic resources that are …

Approximations are the alternative way of obtaining the Quantile function when the inversion
method cannot be applied to distributions whose cumulative distribution functions do not …

The Green Computing Observatory (GCO) addresses the previous issues within the
framework of a production infrastructure dedicated to e-science, providing a unique facility …

Resource-rich computing devices, decreasing communication costs, and Web 2.0
technologies are fundamentally changing the way distributed applications communicate and …

A large-scale resource sharing system (eg, collaborative cloud computing and grid
computing) creates a virtual supercomputer by providing an infrastructure for sharing …

Collaborative peer-to-peer (P2P), grid, and cloud computing rely on resource discovery (RD)
solutions to aggregate groups of multi-attribute, dynamic, and distributed resources …

The number and lethality of violent extremist plots motivated by the Salafi-jihadist ideology
have been growing for nearly the last decade in both the US and Western Europe. While …