NDLI: A Customizable Mediation Engine for Metrics Collection, Aggregation and Composition

Content Provider	IEEE Xplore Digital Library
Author	Kumar, A. Agarwal, V.
Copyright Year	2006
Description	Author affiliation: IBM India Res. Lab., New Delhi (Kumar, A.; Agarwal, V.)
Abstract	Management applications such as accounting, intrusion detection, resource provisioning, etc. utilize various metrics to derive information needed for decision making. However, each such application is typically custom built to encode the data manipulation logic specific to the management task at hand. These custom solutions are non-reusable, non-shareable and become increasingly complex and hard to manage as they evolve to meet ever changing needs of the environment. We present metric service, a customizable engine that can be shared and configured to perform data manipulation operations for a wide variety of management applications. It allows application specific manipulation of raw metrics to be performed in the middleware itself and also enables integration of data from heterogeneous systems that may be geographically distributed. We also introduce MS-Policy, an XML based policy specification language that forms the core model of the proposed engine. It allows the data integration and manipulation logic, for a particular management task, to be specified in terms of metrics collection, aggregation and composition. We describe our prototype implementation and report the results of performance experiments
Starting Page	162
Ending Page	173
File Size	702498
Page Count	12
File Format	PDF
ISBN	1424401429
ISSN	15421201
DOI	10.1109/NOMS.2006.1687548
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-03
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mediation Engines Logic Resource management Intrusion detection Decision making Environmental management Middleware XML Specification languages Aggregation Metrics
Content Type	Text
Resource Type	Article

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