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Key challenges in managing an I/T environment for e-business lie in the area of root cause analysis, proactive problem prediction, and automated problem remediation. Our approach as reported in this paper, utilizes two important concepts: dependency graphs and dynamic runtime performance characteristics of resources that comprise an I/T environment to(More)
Clustered enterprise middleware systems employing dynamic workload scheduling are susceptible to a variety of application malfunctions that can manifest themselves in a counterintuitive fashion and cause debilitating damage. Until now, diagnosing problems in that domain involves investigating log files and configuration settings and requires in-depth(More)
Multi-tiered enterprise applications, which comprise of many (heterogeneous and possibly loosely coupled) components at various layers of the IT stack, typically have configuration dependencies between these different components. A change in the value of a configuration parameter of a component may require changing one or more parameters of other components(More)
— In this paper, an efficient face recognition system based on sub-window extraction algorithm and recognition based on principal component analysis (PCA) and Back propagation algorithm is proposed. Our proposed method works on two phases: Extraction phase and Recognition phase. In extraction phase, face images are captured from different sources and then(More)
Deployment is an important aspect of software solutions' life-cycle and is repeatedly employed at many stages including development, testing, delivery, and demonstration. Traditional script-based approaches for deployment are primarily manual and hence error prone, resulting in wasted time and labor. In this paper we propose a framework and approach for(More)
Swarm intelligence systems are typically made up of a population of simple agents or boids interacting locally with one another and with their environment. Particle swarm, Ant colony, Bee colony are examples of swarm intelligence. In the field of computer science and operations research, Artificial Bee Colony Algorithm (ABC) is an optimization algorithm(More)
The growing popularity of e-business has stimulated web sites to evolve from static content servers to complex multi-tier systems built from heterogeneous server platforms. E-businesses now spend a large fraction of their IT budgets maintaining, troubleshooting, and optimizing these web sites. It has been shown that such system management activities may be(More)
IT service delivery is heavily dependent on skilled labor. This opens the scope for errors due to human mistakes. We propose a framework for minimizing errors due to human mistakes in Change Management process, focusing on change preparation and change execution. We developed a tool that brings better structure to the change plan, as well as, helps the(More)