ICARO Cloud Simulator Exploiting Knowledge Base

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Title ICARO Cloud Simulator Exploiting Knowledge Base

Subject cloud simulation, cloud workload, cloud simulation review, knowledge modeling, cloud ontology.

Description 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 loads and for simulating configuration and behaviour 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 behaviour for days, weeks, months, etc. (for example for seasonal prediction of workloads). The proposed research has been developed in the context of ICARO Cloud research and development project.

Description C. Badii, P. Bellini, I. Bruno, D. Cenni, R. Mariucci, P. Nesi, "ICARO Cloud Simulator Exploiting Knowledge Base", accepted for publication on Journal: Simulation Modelling Practice and Theory, Elsevier. 10.1016/j.simpat.2015.12.001 http://www.sciencedirect.com/science/article/pii/S1569190X15001720

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