PROJECT TITLE :
SimGrid VM: Virtual Machine Support for a Simulation Framework of Distributed Systems - 2018
As real systems become larger and more complex, the use of simulator frameworks grows in our research community. By leveraging them, users can concentrate on the most important aspects of their algorithm, run in-siclo experiments (i.e., simulations), and completely analyze results, even for a massive-scale environment without facing the complexity of conducting in-vivo studies (i.e., on real testbeds). Since nowadays the virtual machine (VM) technology has become a fundamental building block of distributed computing environments, in specific in cloud infrastructures, our community desires a full-fledged simulation framework that enables us to investigate large-scale virtualized environments through accurate simulations. To be adopted, such a framework should give easy-to-use APIs with correct simulation results. During this Project, we tend to gift a highly-scalable and versatile simulation framework supporting VM environments. By leveraging SimGrid, a widely-used open-source simulation toolkit, our simulation framework permits users to launch lots of thousands of VMs on their simulation programs and control VMs in the identical manner as in the real world (e.g., suspend/resume and migrate). Users will execute computation and communication tasks on physical machines (PMs) and VMs through the identical SimGrid API, that will offer a seamless migration path to IaaS simulations for tons of SimGrid users. Moreover, SimGrid VM includes a live migration model implementing the precopy migration algorithm. This model properly calculates the migration time further because the migration traffic, taking account of resource rivalry caused by alternative computations and data exchanges inside the entire system. This permits user to get correct results of dynamic virtualized systems. We confirmed accuracy of both the VM and the live migration models by conducting many micro-benchmarks under various conditions. Finally, we tend to conclude the article by presenting a 1st use-case of one consolidation algorithm handling a vital variety of VMs/PMs. In addition to confirming the accuracy and scalability of our framework, this first scenario illustrates the most interest of SimGrid VM: investigating through in-siclo experiments professionals/cons of latest algorithms in order to limit expensive in-vivo experiments only to the most promising ones.
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