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ICDCS
2012
IEEE
12 years 1 months ago
PREPARE: Predictive Performance Anomaly Prevention for Virtualized Cloud Systems
Abstract—Virtualized cloud systems are prone to performance anomalies due to various reasons such as resource contentions, software bugs, and hardware failures. In this paper, we...
Yongmin Tan, Hiep Nguyen, Zhiming Shen, Xiaohui Gu...
IADIS
2008
14 years 7 days ago
Modelling Collaborative Competence Level Using Machine Learning Techniques
Using open e-learning platforms as a tool to support the learning process has become an international tendency. Specially, in order to motivate the achievement of desired competen...
Laura Mancera Valetts, Silvia Baldiris Navarro, Ra...
ECTEL
2009
Springer
14 years 5 months ago
Personalisation of Learning in Virtual Learning Environments
Personalization of learning has become a prominent issue in the educational field, at various levels. This article elaborates a different view on personalisation than what usually ...
Dominique Verpoorten, Christian Glahn, Milos Kravc...
DASC
2006
IEEE
14 years 4 months ago
On Recognizing Virtual Honeypots and Countermeasures
— Honeypots are decoys designed to trap, delay, and gather information about attackers. We can use honeypot logs to analyze attackers’ behaviors and design new defenses. A virt...
Xinwen Fu, Wei Yu, Dan Cheng, Xuejun Tan, Kevin St...
CADE
2008
Springer
14 years 11 months ago
MaLARea SG1- Machine Learner for Automated Reasoning with Semantic Guidance
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
Geoff Sutcliffe, Jirí Vyskocil, Josef Urban...