CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
By Rodrigo Neves Calheiros, R. Ranjan, Anton Beloglazov, César Augusto Fonticielha De Rose, Rajkumar Buyya. Software, Practice & Experience, 2011
5,253 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/30a82a63a339c1e69aac36b23900544fe9ec97bb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rajkumar Buyya
- Blesson Varghese
- Cheol-Ho Hong
- Marty A. Humphrey
- Ming Mao
- Anton Beloglazov
- Rodrigo Neves Calheiros
- R. Ranjan
In Information Systems
- Rajkumar Buyya
- Blesson Varghese
- Anton Beloglazov
- Cheol-Ho Hong
- Marty A. Humphrey
- Ming Mao
- Rodrigo Neves Calheiros
- R. Ranjan
Citations in the corpus
- Cloud auto-scaling with deadline and budget constraints (2010, methodology): “The cloud is simulated using CloudSim [104], including five VM types and one cloud storage.”
- Fog Computing: Principles, Architectures, and Applications (2016, methodology): “Fog devices were realized by extending the Datacenter page 23 class, while stream operators were modeled as a VM in CloudSim.”
- EdgeCloudSim: An environment for performance evaluation of Edge Computing systems (2017, neutral): “CloudSim is commonly used for the conventional cloud computing scenarios which is mainly designed for evaluating the performance of datacenters [4].”
- SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments (2011, methodology): “Reig G. et al [ 11 ] contributed on minimizing the resource consumption for serving requests and executing them before its deadline with a prediction system.”
- iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments (2016, methodology): “CloudSim is developed as an extensible cloud simulation toolkit that enables modeling and simulation of cloud systems and application provisioning environments [17].”
- WorkflowSim: A toolkit for simulating scientific workflows in distributed environments (2012, methodology): “CloudSim [12] is a popular framework for modeling and simulating cloud computing infrastructures and services.”
- Virtual Machine Provisioning Based on Analytical Performance and QoS in Cloud Computing Environments (2011, methodology): “CloudSim [10] discrete-event Cloud simulation was used to model the Cloud environment.”
- Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds (2014, methodology): “We used the CloudSim framework [19] to simu-”
- Computer Science Review (neutral): “CloudSim [111] is a foundational, event-driven simulator widely used for modeling IaaS cloud environments, resource provision ing, and VM allocation.”
- Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015, methodology): “We compared our proposed approach with the existing dynamic VM consolidation approaches in the CloudSim toolkit and with the ACS-based VM consolidation approach in [27].”
- Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, methodology): “Both of these works used CloudSim [122] to validate their method along with an experimental evaluation.”
- Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing (2012, methodology): “The CloudSim toolkit [34] has been chosen as a simulation platform as it is a modern simulation framework aimed at Cloud computing environments.”
- Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers (2010, methodology): “The CloudSim toolkit 2.0 [ 5 ] has been chosen as a simulation platform, as it is a modern simulation framework aimed at Cloud computing environments.”
- iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator (2012, methodology): “To the author’s knowledge, the only tools that can simulate a real cloud system are CloudSim [7], MDCSim [17], and GreenCloud [16].”
- A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing (2015, background): “0 [41] to verify the performance of PBACO.”
- The Cloud Adoption Toolkit: supporting cloud adoption decisions in the enterprise (2010, methodology): “As evidenced by the use-cases mentioned in [30], CloudSim is more suited to developers who are concerned about the performance of their applications, and cloud providers such as HP who are interested in modeling the properties and resource utilization of data centers.”