CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
By Rodrigo Neves Calheiros, R. Ranjan, César Augusto Fonticielha De Rose, Rajkumar Buyya. arXiv.org, 2009
571 citations recorded by the source corpus.
Cloud computing focuses on delivery of reliable, secure, fault-tolerant, sustainable, and scalable infrastructures for hosting Internet-based application services. These applications have different composition, configuration, and deployment requirements. Quantifying the performance of scheduling and allocation policy on a Cloud infrastructure (hardware, software, services) for different application and service models under varying load, energy performance (power consumption, heat dissipation), and system size is an extremely challenging problem to tackle. To simplify this process, in this paper we propose CloudSim: a new generalized and extensible simulation framework that enables seamless modelling, simulation, and experimentation of emerging Cloud computing infrastructures and management services. The simulation framework has the following novel features: (i) support for modelling and instantiation of large scale Cloud computing infrastructure, including data centers on a single physical computing node and java virtual machine; (ii) a self-contained platform for modelling data centers, service brokers, scheduling, and allocations policies; (iii) availability of virtualization engine, which aids in creation and management of multiple, independent, and co-hosted virtualized services on a data center node; and (iv) flexibility to switch between space-shared and time-shared allocation of processing cores to virtualized services.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/c7b9ed8cba93d6b3bddbb43ff2b6a3285fdbda8c
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Citations in the corpus
- Cloud Task Scheduling Based on Load Balancing Ant Colony Optimization (2011, methodology): “Hence, the researchers and system developers must extend this class[14, 15, 16].”
- Energy-Aware Ant Colony Based Workload Placement in Clouds (2011, background): “Therefore, because of limitations of existing cloud computing simulation frameworks (e.g., CloudSim [6] only allows to move one VM per event, making it difficult to simulate global re-packing), we have developed our own Java-based simulation toolkit and used it to compare the ACO-based while IS 6 = ∅”