Sun Microsystems, Inc.

Infosys Limited

Satyam Computer Services Limited

Satyam Computer Services Limited of Mayfair Centre

K Rajeswar Rao

Srividya Gopalan

Varadarajan Sridhar

Veena Sudhindra

Neeraj Bajaj

Sivakumar Swaminathan

V Sridhar

Gangadharapali Sridhar

Kanchan Sripathy

The present invention provides a method, system and computer program product for determining a reuse factor associated with a set of resources available for a project. The method includes identifying the set of resources from a repository. The predetermined saved-effort associated with the set of resources is also determined from the repository. The method further includes identifying one or more resources from the set of resources. The one or more resources are identified by a project leader to be used in the project. Thereafter, the reuse factor is estimated on the basis of the predetermined saved-effort associated with the set of resources and the effort saved by the use of the one or more resources.

Method and system for determining a reuse factor

A fault identification system analyzes alarm information and the associated contextual information to identify the occurred faults. The contextual information is based on usecases, transactions, and functions associated with the electronic system under consideration. Multiple detectors that form part of knowledge repositories are used in the process of fault identification.

System and method for fault identification in an electronic system based on context-based alarm analysis

A computer-implemented method of parsing markup-language source data is described. The markup-language source data comprises a plurality of elements. A first portion of the elements is processed by interoperating with a symbol table to determine unique string objects associated with the elements of the first portion of the elements. A structure is recorded associated with the first portion of the elements collectively, including the determined unique string objects in association with the corresponding elements of the first portion. A second portion of the elements is processed, using the structure determined associated with the first portion of the elements, to determine the unique string objects associated with the elements of the second portion, without interoperating with the symbol table.

Optimized markup language processing using repeated structures in markup language source

The proposed system defines a predictive real-time Service Level Agreements (SLAs) monitoring system by (a) a detailed analysis of traffic flows with reduced monitor-data flow across network; and (b) a suitable combination of offline and real-time processing of historical and current traffic data. In order to be able to undertake a detailed analysis without significantly impacting the network throughput, the system analyzes the historical traffic patterns of a typical Provider's network to determine a set of critical SLAs. An in-depth analysis of traffic is performed by creating a unique network parent probe for every critical SLA and the parent probe spawns an optimal number of intelligent master and slave probes based on a regionalization procedure. The online overload monitoring system analyzes the gathered data from the master and slave probes to (a) forecast future violations of the SLA under consideration based on multiple forecast models and (b) generate operator SLA violation alarms.

System and method for static and dynamic load analyses of communication network

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Bengaluru, India

K Rajeswar Rao