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Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective
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Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions

1
School of Computing, Dublin City University, Dublin 9, Ireland
2
School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland
3
Caruaru Campus, Universidade de Pernambuco, Recife, Pernambuco 50050-240, Brazil
4
Irish Institute of Digital Business, DCU Business School, Dublin City University, Dublin 9, Ireland
*
Authors to whom correspondence should be addressed.
Future Internet 2020, 12(6), 95; https://doi.org/10.3390/fi12060095
Received: 14 April 2020 / Revised: 25 May 2020 / Accepted: 26 May 2020 / Published: 29 May 2020
(This article belongs to the Special Issue Network Cost Reduction in Cloud/Fog Computing Environments)
In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption. The emergence of the Internet of Things has led to the development of infrastructure that extends beyond centralised data centers from the cloud to the edge, the so-called cloud-to-thing continuum (C2T). This infrastructure is characterised by extreme heterogeneity, geographic distribution, and complexity, where the key performance indicators (KPIs) for the traditional model of cloud computing may no longer apply in the same way. Existing resource management mechanisms may not be suitable for such complex environments and therefore require thorough testing, validation and evaluation before even being considered for live system implementation. Similarly, previously discounted resource management proposals may be more relevant and worthy of revisiting. Simulation is a widely used technique in the development and evaluation of resource management mechanisms for cloud computing but is a relatively nascent research area for new C2T computing paradigms such as fog and edge computing. We present a methodical literature analysis of C2T resource management research using simulation software tools to assist researchers in identifying suitable methods, algorithms, and simulation approaches for future research. We analyse 35 research articles from a total collection of 317 journal articles published from January 2009 to March 2019. We present our descriptive and synthetic analysis from a variety of perspectives including resource management, C2T layer, and simulation. View Full-Text
Keywords: simulating cloud computing; simulating resource management; simulating resource provisioning; simulating resource scheduling; cloud-to-thing continuum; C2T; systematic review; cloud computing; edge computing; fog computing; simulation tools simulating cloud computing; simulating resource management; simulating resource provisioning; simulating resource scheduling; cloud-to-thing continuum; C2T; systematic review; cloud computing; edge computing; fog computing; simulation tools
MDPI and ACS Style

Bendechache, M.; Svorobej, S.; Takako Endo, P.; Lynn, T. Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions. Future Internet 2020, 12, 95.

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