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ICARO Cloud Simulator exploiting knowledge base
Affiliation:1. Birla Institute of Technology and Science,Pilani,Rajasthan,333031,India;2. Rajiv Gandhi Institute of Technology,Kottayam,Kerala,686501,India;1. Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran;2. Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran;1. Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India;2. Graphic Era University, Dehradun, India;1. University of Lübeck, Institute of Telematics (ITM), Ratzeburger Allee 160, 23562 Lübeck, Germany;2. COMSATS Institute of Information Technology (CIIT), Quaid Avenue, 47040 Wah Cantt, Pakistan
Abstract:Allocation changes on cloud are complex and time consuming tasks, on cloning, scaling, etc. A solution to cope with these aspects is to perform a simulation. Cloud simulators have been proposed to assess conditions adopting specific models for energy, cloud capacity, allocations, networking, security, etc. In this paper, ICARO Cloud Simulator is proposed. It has been specifically designed for simulating the workload on the basis of real virtual machine workloads and for simulating complex business configurations and behaviours for wide temporal windows. This approach can be useful to predict and simulate the allocation of virtual machines on hosts and, thus, data centers on the basis of real business configuration behaviour for days, weeks, months, etc. (for example, to predict workloads). The proposed research has been developed in the context of the ICARO Cloud research and development project.
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