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HPDC
1999
IEEE
15 years 11 months ago
Dodo: A User-level System for Exploiting Idle Memory in Workstation Clusters
In this paper, we present the design and implementation of Dodo, an e cient user-level system for harvesting idle memory in o -the-shelf clusters of workstations. Dodo enables dat...
Samir Koussih, Anurag Acharya, Sanjeev Setia
AINA
2004
IEEE
15 years 10 months ago
An Efficient Clustered Architecture for P2P Networks
Peer-to-peer (P2P) computing offers many attractive features, such as self-organization, load-balancing, availability, fault tolerance, and anonymity. However, it also faces some ...
Juan Li, Son T. Vuong
ACSAC
2008
IEEE
15 years 8 months ago
Behavior-Profile Clustering for False Alert Reduction in Anomaly Detection Sensors
Anomaly Detection (AD) sensors compute behavior profiles to recognize malicious or anomalous activities. The behavior of a host is checked continuously by the AD sensor and an ale...
Vanessa Frías-Martínez, Salvatore J....
EUROPAR
2008
Springer
15 years 8 months ago
MPC: A Unified Parallel Runtime for Clusters of NUMA Machines
Over the last decade, Message Passing Interface (MPI) has become a very successful parallel programming environment for distributed memory architectures such as clusters. However, ...
Marc Pérache, Hervé Jourdren, Raymon...
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 8 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang