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—This paper explores autonomic approaches for optimizing provisioning for heterogeneous workloads on enterprise Grids and clouds. Specifically, this paper presents a decentralized, robust online clustering approach that addresses the distributed nature of these environments, and can be used to detect patterns and trends, and use this information to optimize(More)
We present a decentralized algorithm for on-line clustering analysis used for anomaly detection in self-monitoring distributed systems. In particular, we demonstrate the monitoring of a network of printing devices that can perform the analysis without the use of external computing resources (i.e. in-network analysis). We also show how to ensure the(More)
In recent times wireless sensor networks have grown enormously and become progressively attractive in wide variety of applications because of their low cost, low power, small in size, self-organizing behavior in harsh environments. Routing is a vital technology in WSN. There are many routing protocols like: location based, multipath, data centric, mobility(More)
—The practice of computing across two or more data centers separated by the Internet is growing in popularity due to an explosion in scalable computing demands and pay-as-you-go schemes offered on the cloud. While cloud-bursting is addressing this process of scaling up and down across data centers (i.e. between private and public clouds), offering service(More)
BACKGROUND The possibility of impaired antioxidant status and so increased oxidative damage in periodontal disease is being conjectured. The present randomized controlled study was carried out with the objective of analyzing the activity of superoxide dismutase enzyme and thiol antioxidants in gingival crevicular fluid (GCF) and saliva as indicators of(More)
Ensuring the efficient and robust operation of distributed computational infrastructures is critical, given that their scale and overall complexity is growing at an alarming rate and that their management is rapidly exceeding human capability. Clustering analysis can be used to find patterns and trends in system operational data, as well as highlight(More)