EdgeCloudSim: An environment for performance evaluation of Edge Computing systems

By Cagatay Sonmez, Atay Ozgovde, Cem Ersoy. International Conference on Fog and Mobile Edge Computing, 2017

562 citations recorded by the source corpus.

Edge Computing is a fast growing field of research covering a spectrum of technologies such as Cloudlets, Fog Computing and Mobile Edge Computing (MEC). Edge Computing involves technically more sophisticated setup when compared with the pure Cloud Computing and pure Mobile Computing cases since both computational and network resources should be considered simultaneously. In that respect, it provides a larger design space with many parameters rendering a variety of novel approaches feasible. Given the complexity, Edge Computing designs deserve scientific scrutiny for sound assessment of their feasibility. However, despite increasing research activity, this field lacks a simulation tool compatible with the requirements. Starting from available simulators a significant programming effort is required to obtain a simulation tool meeting the actual needs. To decrease the barriers, a new simulator tool called EdgeCloudSim streamlined for Edge Computing scenarios is proposed in this work. EdgeCloudSim builds upon CloudSim to address the specific demands of Edge Computing research and support necessary functionality in terms of computation and networking abilities. To demonstrate the capabilities of EdgeCloudSim an experiment setup based on different edge architectures is simulated and the effect of the computational and networking system parameters on the results are depicted.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/cb1e92fa362a364a160a50b341148c079362e5d2

How researchers see this paper

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In Computer Networks and Communications

1. Cheol-Ho Hong
2. Blesson Varghese
3. Weisong Shi

In Information Systems

1. Cheol-Ho Hong
2. Blesson Varghese
3. Weisong Shi

Citations in the corpus

• Resource Management in Fog/Edge Computing (2018, methodology): “Many academic researchers rely on simulation studies using tools, such as iFogSim [60] and EdgeCloudSim [160].”
• Resource Scheduling in Edge Computing: A Survey (2021, methodology): “2) Test Environment: The performance evaluation of scheduling algorithms in current research is generally performed using simulation tools, including professional simulators for edge computing such as iFogSim [300], EdgeCloudSim [301], and MyiFogSim [302], and general simulation platforms like MATLA”
• All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “Similarly, the authors in [388] propose another edge computing simulation environment, EdgeCloudSim8, that considers both network and computational resources and covers all aspects of edge computing simulation modeling, including network and computational modeling.”