Narander Kumar

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To find the unknown and hidden pattern from large amount of data of insurance organizations. There are strong customer base required with the help of large database. Cluster Analysis is an excellent statistical tool for a large and multivariate database. The clusters analysis with K-Means method may be used to develop the model which is useful to find the(More)
Cloud data centres improve CPU utilization of their servers (physical machines or PMs) through Virtualization (virtual machines or VMs). Over virtualised and under virtualized PMs suffer performance degradation and power dissipation respectively. This work presents a stochastic modular scheme for allocating VM requests to a PM by avoiding overloading of PM(More)
Geographically distributed data centers of cloud provider incur heavy electricity costs due to high prices as well as inefficient workload management among the data centers. To bring down the operational costs dynamic power management is used as the basic approach where different power modes exist for a server. However the air flow pattern of the cooling(More)
In cloud computing environment there are so many resources, these resources are differ each other in terms of bandwidth, RAM, memory etc. In cloud environment the main objective is how to allocate these resources in an efficient way in order to get minimum or optimal cost. For allocating resources efficiently we need assignment problem and there are various(More)
For secure and reliable data transmission over the network from unauthorized users in a Communication system, there are various type of cryptographic algorithm has been introduced but RSA is the most famous cryptographic algorithm in these entire cryptographic algorithm. It involves the encryption decryption key generation. In this paper we provide a modify(More)
In cloud computing Environment creates a huge amount of requests for the same type of resources according to the future plan. This situation created many problems, challenges and issues in a cloud computing Environment. To handle such huge amount of requests of resources in dynamic and heterogeneous cloud computing environment, so require such scheduling(More)
Cloud Computing involves the concepts of parallel processing and distributed computing in order to provide the shared resources by means of Virtual Machines(VMs) hosted by physical servers. Efficient management of VMs directly influences resource utilization and QoS delivered by the system. As the cloud setting is dynamic in nature, the number of VMs(More)
Efficient management of resources in a federation of interacting computing servers and devices, for example, in a cloud computing environment, requires a load-balancing system that is self-regulatory and oblivious in nature. Due to the increasing size of data centers and their distribution across the globe, centralized load-balancing approaches suffer(More)