This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
Abstract. Autonomous spreading malware in the form of bots or worms is a constant threat in today’s Internet. In the form of botnets, networks of compromised machines that can be...
The increased complexity of performance-sensitive software systems leads to increased use of automated adaptation policies in lieu of manual performance tuning. Composition of ada...
Jin Heo, Dan Henriksson, Xue Liu, Tarek F. Abdelza...
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
We consider the problem of scheduling n independent jobs on m identical machines that operate in parallel. Each job has a controllable processing time. The fact that the jobs have...