Self-adaptive deployment of parametric sweep applications through a complex networks perspective
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part II
Self-adaptive service monitoring
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
A survey on SLA and performance measurement in cloud computing
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
A survey and taxonomy of on-chip monitoring of multicore systems-on-chip
ACM Transactions on Design Automation of Electronic Systems (TODAES)
The small-world phenomenon applied to a self-adaptive resources selection model
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Self-adaptive service level agreement monitoring in cloud environments
Multiagent and Grid Systems
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As the number of resources on the Grid tends to be very dynamic and potentially large, it becomes increasingly important to discover and monitor them efficiently. This paper concentrates on the scalability, reliability and performance of Grid discovery and monitoring services, using autonomous concepts. Application scenarios are developed where the notification rate of data is dynamically modified, based on the overhead costs at the MDS3 Index Service. Previously collected performance benchmarks are also utilised to implement two self-adaptive algorithms which are the basis of the scenarios. The objective of these feedback algorithms is to sustain an adequate level of service for clients while minimisingcosts at the MDS. Different types of workload models are also used to assess the efficiency of the algorithms. Experimental results are subsequently shown when varying notification update mechanisms and decision parameters are used, ensuring that the MDS is scalable with accruing concurrent clients. Therefore, a policy is proposed where the notification rate is computed dynamically, thereby creating an autonomous Grid monitoring service.