Title :
Goal-oriented Adaptive Workload Management for Irregular Applications
Abstract :
This paper presents a goal-oriented approach for adaptive resource management at the OS level. The approach is based on fuzzy logic component. The main aim of the paper is the evaluation of the benefits of using heuristics for the above purpose versus previous work based on building a knowledge base for evaluating alternative system parameter configurations. The paper also presents a prototype which aims to adapt the system, with the goal of improving the level of performance offered to the users of the system, by adjusting different settings accessible through the Workload Manager. The prototype uses the build into OS resource-oriented mechanism and is doing a translation into goal-oriented approach to optimize the usage of resources available while executing a set of applications with different needs.
Keywords :
fuzzy logic; operating systems (computers); resource allocation; OS resource-oriented mechanism; adaptive resource management; fuzzy logic component; goal-oriented adaptive workload management; Heuristic algorithms; Knowledge based systems; Operating systems; Prototypes; Servers; Time factors; Time measurement; Adaptive performance improvement; goal-oriented workload management; heuristic algorithms;
Conference_Titel :
Parallel Computing in Electrical Engineering (PARELEC), 2011 6th International Symposium on
Conference_Location :
Luton
Print_ISBN :
978-1-4577-0078-1
Electronic_ISBN :
978-0-7695-4397-0
DOI :
10.1109/PARELEC.2011.27