CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services. 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

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  1. Li, Hongjian; Zhu, Guofeng; Cui, Chengyuan; Tang, Hong; Dou, Yusheng; He, Chen: Energy-efficient migration and consolidation algorithm of virtual machines in data centers for cloud computing (2016)
  2. Pacini, Elina; Mateos, Cristian; García Garino, Carlos: Multi-objective swarm intelligence schedulers for online scientific clouds (2016)
  3. Salimian, Leili; Safi Esfahani, Faramarz; Nadimi-Shahraki, Mohammad-Hossein: An adaptive fuzzy threshold-based approach for energy and performance efficient consolidation of virtual machines (2016)
  4. Song, Biao; Hassan, Mohammad Mehedi; Alamri, Atif; Alelaiwi, Abdulhameed; Tian, Yuan; Pathan, Mukaddim; Almogren, Ahmad: A two-stage approach for task and resource management in multimedia cloud environment (2016)
  5. Velayudhan Kumar, Mohan Raj; Raghunathan, Shriram: Heterogeneity and thermal aware adaptive heuristics for energy efficient consolidation of virtual machines in infrastructure clouds (2016)
  6. Chen, Zhijia; Zhu, Yuanchang; Di, Yanqiang; Feng, Shaochong: A dynamic resource scheduling method based on fuzzy control theory in cloud environment (2015)
  7. Johnsen, Einar Broch; Schlatte, Rudolf; Tapia Tarifa, S.Lizeth: Integrating deployment architectures and resource consumption in timed object-oriented models (2015)
  8. Manuel, Paul: A trust model of cloud computing based on quality of service (2015)
  9. Lloret, Jaime; Garcia, Miguel; Tomas, Jesus; Rodrigues, Joel J.P.C.: Architecture and protocol for intercloud communication (2014)
  10. Rodriguez, Juan Manuel; Mateos, Cristian; Zunino, Alejandro: Energy-efficient job stealing for CPU-intensive processing in mobile devices (2014)
  11. Xiao, Peng; Hu, Zhi-Gang; Zhang, Yan-Ping: An energy-aware heuristic scheduling for data-intensive workflows in virtualized datacenters (2013)
  12. Javadi, Bahman; Abawajy, Jemal; Buyya, Rajkumar: Failure-aware resource provisioning for hybrid Cloud infrastructure (2012)
  13. Shuja, Junaid; Madani, Sajjad A.; Bilal, Kashif; Hayat, Khizar; Khan, Samee U.; Sarwar, Shahzad: Energy-efficient data centers (2012)
  14. Sun, Da-Wei; Chang, Gui-Ran; Gao, Shang; Jin, Li-Zhong; Wang, Xing-Wei: Modeling a dynamic data replication strategy to increase system availability in cloud computing environments (2012)
  15. Wu, Linlin; Garg, Saurabh Kumar; Buyya, Rajkumar: SLA-based admission control for a software-as-a-service provider in cloud computing environments (2012)
  16. Calheiros, Rodrigo N.; Ranjan, Rajiv; Beloglazov, Anton; De Rose, César A.F.; Buyya, Rajkumar: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms (2011)
  17. Xu, Baomin; Zhao, Chunyan; Hu, Enzhao; Hu, Bin: Job scheduling algorithm based on Berger model in cloud environment (2011)