Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
— In this short paper, we give a brief overview a simulation environment, SimEAC, which was designed for testing algorithms with strong autonomic features. SimEAC enables a user ...
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
Traditional High Performance Computing systems require extensive management and suffer from security and configuration problems. This paper presents a new clustermanagement syste...
Abstract— The scale, reliability, and cost requirements of enterprise data centers require automation of center management. Examples include provisioning, scheduling, capacity pl...
Sandip Agarwala, Yuan Chen, Dejan S. Milojicic, Ka...
Abstract— DotSlash is an automated web hotspot rescue system. This paper presents DotSlash Qcache services that allow a web site to use on-demand distributed query result caching...
— Over the past decade, wide-area distributed computing has emerged as a powerful computing paradigm. Virtual machines greatly simplify wide-area distributed computing ing the ab...
Ananth I. Sundararaj, Manan Sanghi, John R. Lange,...