Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective

Fog computing is an emerging and evolving technology, which bridges the cloud with the network edges, allowing computing to work in a decentralized manner. As such, it introduces a number of complex issues to the research community and the industry alike. Both of them have to deal with many open challenges including architecture standardization, resource management and placement, service management, Quality of Service (QoS), communication, participation, to name a few. In this work, we provide a comprehensive literature review along two axes—modeling with an emphasis in the proposed fog computing architectures and simulation which investigates the simulation tools which can be used to develop and evaluate novel fog-related ideas.

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Fog Computing-Security Platform for IoT and Cloud in-Healthcare System

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.b3608.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 4419-4424

Keyword(s):

Cloud Computing ◽

Quality Of Service ◽

Service Management ◽

New Technology ◽

Fog Computing ◽

Cloud Services ◽

Third Party ◽

Selection System ◽

Search Tool

The introduction of cloud computing has revolutionized business and technology. Cloud computing has merged technology and business creating an almost indistinguishable framework. Cloud computing has utilized various techniques that have been vital in reshaping the way computers are used in business, IT, and education. Cloud computing has replaced the distributed system of using computing resources to a centralized system where resources are easily shared between user and organizations located in different geographical locations. Traditionally the resources are usually stored and managed by a third-party, but the process is usually transparent to the user. The new technology led to the introduction of various user needs such as to search the cloud and associated databases. The development of a selection system used to search the cloud such as in the case of ELECTRE IS and Skyline; this research will develop a system that will be used to manage and determine the quality of service constraints of these new systems with regards to networked cloud computing. The method applied will mimic the various selection system in JAVA and evaluate the Quality of service for multiple cloud services. The FogTorch search tool will be used for quality service management of three cloud services.

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An Approach for Quality of Service Management

10.21236/ada360808 ◽

1998 ◽

Cited By ~ 8

Author(s):

Chen Lee ◽

Dan Siewiorek

Keyword(s):

Quality Of Service ◽

Service Management

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Simulation and Emulation Tools for Fog Computing

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813999201002152003 ◽

2020 ◽

Vol 13 ◽

Author(s):

Simar Preet Singh ◽

Rajesh Kumar ◽

Anju Sharma ◽

S. Raji Reddy ◽

Priyanka Vashisht

Keyword(s):

Quality Of Service ◽

Programming Languages ◽

Traffic Management ◽

Fog Computing ◽

Research Work ◽

Research Experience ◽

Computing Paradigm ◽

Quality Of Service Parameters ◽

User Friendly

Background: Fog computing paradigm has recently emerged and gained higher attention in present era of Internet of Things. The growth of large number of devices all around, leads to the situation of flow of packets everywhere on the Internet. To overcome this situation and to provide computations at network edge, fog computing is the need of present time that enhances traffic management and avoids critical situations of jam, congestion etc. Methods: For research purposes, there are many methods to implement the scenarios of fog computing i.e. real-time implementation, implementation using emulators, implementation using simulators etc. The present study aims to describe the various simulation and emulation tools for implementing fog computing scenarios. Results: Review shows that iFogSim is the simulator that most of the researchers use in their research work. Among emulators, EmuFog is being used at higher pace than other available emulators. This might be due to ease of implementation and user-friendly nature of these tools and language these tools are based upon. The use of such tools enhance better research experience and leads to improved quality of service parameters (like bandwidth, network, security etc.). Conclusion: There are many fog computing simulators/emulators based on many different platforms that uses different programming languages. The paper concludes that the two main simulation and emulation tools in the area of fog computing are iFogSim and EmuFog. Accessibility of these simulation/emulation tools enhance better research experience and leads to improved quality of service parameters along with the ease of their usage.

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The Social Consequences of Phubbing

The Oxford Handbook of Mobile Communication and Society ◽

10.1093/oxfordhb/9780190864385.013.11 ◽

2020 ◽

pp. 157-174 ◽

Cited By ~ 1

Author(s):

Mariek Vanden Abeele

Keyword(s):

Literature Review ◽

Social Relationships ◽

Empirical Work ◽

Social Consequences ◽

Future Research ◽

Expectancy Violations ◽

Face To Face ◽

Comprehensive Literature Review ◽

The Social

Recent empirical work suggests that phubbing, a term used to describe the practice of snubbing someone with a phone during a face-to-face social interaction, harms the quality of social relationships. Based on a comprehensive literature review, this chapter presents a framework that integrates three concurrent mechanisms that explain the relational impact of phubbing: expectancy violations, ostracism, and attentional conflict. Based on this framework, theoretically grounded propositions are formulated that may serve as guidelines for future research on these mechanisms, the conditions under which they operate, and a number of potential issues that need to be considered to further validate and extend the framework.

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