Rituraj Dixit - Academia.edu (original) (raw)
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Papers by Rituraj Dixit
Cloud computing allows his subscribers to balance their resource usage based on requirements. Man... more Cloud computing allows his subscribers to balance their resource usage based on requirements. Many of the touted gains in the cloud model come from resource multiplexing throughout virtualization technique. We offer a scheme that manipulate virtualization technique to assign physical machine resources vigorously based on application demands and maintain green computing by optimizing the number of physical machine in use. We initiate the notion of “skewness” to compute the unevenness in the multi-dimensional resource utilization of a physical machine. By reducing skewness, we can mingle dissimilar types of workloads smartly and get better the overall utilization of physical machine resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Cloud computing allows business customers to increase and decrease their resource usage based on ... more Cloud computing allows business customers to increase and decrease their resource usage based on needs. Many of the endorse gains in the cloud model come from resource multiplexing by using virtualization technology. In this dissertation, we present a system that uses virtualization technology to allocate resources dynamically based on “cost based priority” and support green computing by optimizing the number of physical machines in use. We introduce the concept of “skewness” to measure the unevenness in the multi-dimensional resource utilization of physical machines. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of physical machine resources. We develop a set of heuristics that prevent overloaded physical machines in the system effectively by not allowing them in further cycles of resource allocation. We restrict overloaded machines in order to stop further carbon monoxide emission from that machine. Experiment result...
Cloud computing allows his subscribers to balance their resource usage based on requirements. Man... more Cloud computing allows his subscribers to balance their resource usage based on requirements. Many of the touted gains in the cloud model come from resource multiplexing throughout virtualization technique. We offer a scheme that manipulate virtualization technique to assign physical machine resources vigorously based on application demands and maintain green computing by optimizing the number of physical machine in use. We initiate the notion of “skewness” to compute the unevenness in the multi-dimensional resource utilization of a physical machine. By reducing skewness, we can mingle dissimilar types of workloads smartly and get better the overall utilization of physical machine resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Cloud computing allows business customers to increase and decrease their resource usage based on ... more Cloud computing allows business customers to increase and decrease their resource usage based on needs. Many of the endorse gains in the cloud model come from resource multiplexing by using virtualization technology. In this dissertation, we present a system that uses virtualization technology to allocate resources dynamically based on “cost based priority” and support green computing by optimizing the number of physical machines in use. We introduce the concept of “skewness” to measure the unevenness in the multi-dimensional resource utilization of physical machines. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of physical machine resources. We develop a set of heuristics that prevent overloaded physical machines in the system effectively by not allowing them in further cycles of resource allocation. We restrict overloaded machines in order to stop further carbon monoxide emission from that machine. Experiment result...