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New Approach for Virtual Machines Consolidation In Heterogeneous Computing Systems
Jan Fesl,Jiří Cehák,Marie Doležalová,Jan Janeček 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.12
The energy consumption is one of the most important factors in the virtual machines deployment in the current data centres. Various studies proved that the energy aware management of the virtual machines can reduce the total energy consumption about tens of percents. We developed the new approach, based on the distributed algorithm, which is able to consolidate the virtual machines between various virtualization nodes without the central coordinator. The input data for this algorithm is collected online from the electronic wattmeters, which are placed before the energy input of each virtualization node.
CloudEVBench – Virtualization Technology Efficiency Testing Tool for the Distributed Infrastructures
Jan Fesl,Jiří Cehák,Marie Doležalová,Jan Janeček 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.8
The virtualized systems are today a very popular topic and their using plays the great role in current datacenters. The virtualization efficiency is a very important aspect in the real system deployment. Some studies have been published about this topic [1], mainly are based on various benchmarking techniques and are integrated into the specialized testing tools. Such a benchmark tool, which is able to simulate the behavior of a real computing system under the stress of different virtualization configurations, can e.g. well answer the question how many virtual machines could be simultaneously executed on it and how big the virtualization overhead is [2]. We developed and applied a new benchmark tool, which is able to measure the virtualization efficiency and overhead in the virtualization environment.