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In recent years, adoption of cloud computing for computational needs is growing significantly due to various factors such as no upfront cost and access to latest service. In general, cloud infrastructure providers offer a wide range of services with different pricing models, instance types and a host of value-added features. Efficient selection of cloud(More)
The application of metaheuristic algorithms to combinatorial optimization problems is on the rise and is growing rapidly now than ever before. In this paper the historical context and the conducive environment that accelerated this particular trend of inspiring analogies or metaphors from various natural phenomena are analysed. We have implemented the Ant(More)
In recent years, the problem of high utility pattern mining become one of the most important research area in data mining. The problem is challenging, due to non applicability of anti-monotone property. The existing high utility mining algorithm generates large number of candidate itemsets, which takes much time to find utility value of all candidate(More)
—Cloud computing changed the way of computing as utility services offered through public network. Selecting multiple providers for various computational requirements improves performance and minimizes cost of cloud services than choosing a single cloud provider. Federated cloud improves scalability, cost minimization, performance maximization, collaboration(More)
Cloud computing changed the way of computing as utility services offered through public network. The adoption of cloud computing services has gained the momentum over these years, due to the agility and cost associated for accessing computational services over traditional one. The cloud providers offer similar services with nonlinear pricing to(More)
This paper proposes a genetic quantum algorithm based on discrete time quantum walk (QWGA) to solve 0-1 quadratic knapsack problem. Genetic Quantum Algorithms makes use of the qubit representation and superposition phenomenon which are the counter-intuitive characteristics of quantum mechanics. Discrete Quantum Walk (DQW) on a hypercube is used in the place(More)
Data Mining approaches have been widely applied in the field of healthcare to facilitate the quality diagnosis. The physiologic state and the complexity of disease of a patient is monitored through diverse variety of symptoms and laboratory test measurements. Data acquisition in healthcare systems is voluminous; they come from many different sources, not(More)