Dynamic Channel Allocation Using Virtual Machines for Cloud Sensor Networking Environment
نویسندگان
چکیده
منابع مشابه
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizin...
متن کاملSupplementary File: Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment
The skewness algorithm consists of three parts: load prediction, hot spot mitigation, and green computing. Let n and m be the number of PMs and VMs in the system, respectively. The number of resources (CPU, memory, I/O, etc.) that need to be considered is usually a small constant (e.g., 3 or 4). Thus the computation of the skewness and the temperature metrics for a single server takes a constan...
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Cloud Computing is an emerging concept combining many fields of computing. It provides services, software and processing capacity over the internet. Deploying Virtual Machines in bulk is a very tedious and cumbersome job. Deploying a Virtual Machines on a Data Center involves various tasks such as installing the operating prepping the machine for a system ,adding a system to the domain and givi...
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Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizin...
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ژورنال
عنوان ژورنال: International Journal of Innovative Research in Science, Engineering and Technology
سال: 2014
ISSN: 2319-8753
DOI: 10.15680/ijirset.2014.0312039