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CloudNetSim++: A GUI Based Framework for Modeling and Simulation of Data Centers in OMNeT++

机译:CloudNetSim ++:OMNeT ++中基于GUI的数据中心建模和仿真框架

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State-of-the-art cloud simulators in use today are limited in the number of features they provide, lack real network communication models, and do not provide extensive Graphical User Interface (GUI) to support developers and researchers to extend the behavior of the cloud environment. We propose CloudNetSim++, a comprehensive packet level simulator that enables simulation of cloud environments. CloudNetSim++ can be used to evaluate a wide spectrum of cloud components, such as processing elements, storage, networking, Service Level Agreement (SLA), scheduling algorithms, fine grained energy consumption, and VM consolidation algorithms. CloudNetSim++ offers extendibility, which means that the developers and researchers can easily incorporate own algorithms for scheduling, workload consolidation, VM migration, and SLA agreement. The simulation environment of CloudNetSim++ offers a rich GUI that provides a high level view of distributed data centers connected with various network topologies. The package also includes an energy computation module that provides a fine grained analysis of energy consumed by each component. This paper shows the flexibility and effectiveness of CloudNetSim++ through experimental results demonstrated using real-world data center workloads. Moreover, to demonstrate the correctness of CloudNetSim++, we performed formal modeling, analysis, and verification using High-level Petri Nets, Satisfiability Modulo Theories (SMT), and Z3 solver.
机译:当前使用的最先进的云模拟器提供的功能有限,缺乏真正的网络通信模型,并且不提供广泛的图形用户界面(GUI)来支持开发人员和研究人员扩展行为。云环境。我们提出了CloudNetSim ++,这是一个全面的数据包级模拟器,可以模拟云环境。 CloudNetSim ++可用于评估各种云组件,例如处理元素,存储,网络,服务水平协议(SLA),调度算法,细粒度能耗和VM整合算法。 CloudNetSim ++提供了可扩展性,这意味着开发人员和研究人员可以轻松地将自己的算法整合到调度,工作负载合并,VM迁移和SLA协议中。 CloudNetSim ++的仿真环境提供了丰富的GUI,可提供与各种网络拓扑连接的分布式数据中心的高级视图。该软件包还包括一个能量计算模块,可对每个组件消耗的能量进行细粒度分析。本文通过使用实际数据中心工作负载展示的实验结果,展示了CloudNetSim ++的灵活性和有效性。此外,为了证明CloudNetSim ++的正确性,我们使用高级Petri网,可满足性模理论(SMT)和Z3求解器进行了正式的建模,分析和验证。

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