In this paper we proposed a hierarchical P2P network based on a dynamic partitioning on a
1-D space. This hierarchy is created and maintained dynamically and provides a grid …

In this paper, we present the ADMIRE architecture; a new framework for developing novel
and innovative data mining techniques to deal with very large and distributed …

In this work, we design frequency band filters in Disturbance Observer (DOB) for collision
detection between the industrial robot manipulator and human. We realize that the …

Many distributed data mining DDM tasks such as distributed association rules and
distributed classification have been proposed and developed in the last few years. However …

Distributed Denial of Service (DDoS) attacks always remain problematic for the security of
Data centers, malicious codes are injected to weaker the network and acquire unauthorized …

Grid and P2P systems enable users to share resources across organization boundaries. A
strong security system is an integral component of grid middleware to enable secure …

Distributed data mining (DDM) techniques have become necessary for large and multi-
scenario datasets requiring resources, which are heterogeneous and distributed. In this …

Grid computing has enabled pooling a very large number of heterogeneous resource
administered by different security domains. Applications are dynamically deployed on the …

Data Center as a Service (DCaaS) facilitates to clients as an alternate outsourced physical
data center, the expectations of business community to fully automate these data centers to …

While massive amounts of data are being collected and stored from not only science fields
but also industry and commerce fields, the efficient mining and management of useful …