Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT

By Mohammad Aazam, Eui-nam Huh. 2015 IEEE 29th International Conference on Advanced Information Networking and Applications, 2015

330 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/48d2b534ec4d65e683f56fd2794c56ccf81eb9e1

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Citations in the corpus

Resource Management in Fog/Edge Computing (2018, methodology): “Instead of running time-consuming applications, CloudSim [24] has been used to simulate edge workloads for estimating resource usage and developing a pricing model in fog computing [2].”
Leveraging Fog Computing for Healthcare IoT (2018, background): “This intermediate layer, known as Fog computing or edge computing [13, 14, 15, 16, 17], provides both generic and domain specific services for devices to enhance usability, reliability, performance and scalability among others.”
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study (2017, background): “However, how to enforce device cooperation through the dynamic setup and self-management of suitable inter-thing “social” networks is still a big challenge [3], [13], [23], [24].”
Federated Learning in Edge Computing: A Systematic Survey (2022, background): “There are many new concepts aiming to operate on the edge of the network in the evolution of EC, including Micro Data Centers (MDCs) [26], Cloudlets [27], mobile edge computing [28] (also called multi-access edge computing [29]), and fog computing [30,31].”
Machine learning for Internet of Things data analysis: A survey (2017, background): “Collectively, these are applied for edge computing [19].”
Fog Computing and the Internet of Things: A Review (2018, methodology): “In addition, the energy consumption of fog nodes is monitored; since fog computing uses many devices with different levels of power consumption, energy management measures can be both timely and effective [22,23].”
Fog Computing for Sustainable Smart Cities (2017, background): “Smart Cities also need to make sure the limited resources do not run out [Aazam and Huh 2015b].”
Computing Resource Allocation in Three-Tier IoT Fog Networks: A Joint Optimization Approach Combining Stackelberg Game and Matching (2017, background): “Aazam and Huh [27] considered the issues of”
Fog computing security: a review of current applications and security solutions (2017, methodology): “A similar framework has been provided by [83] for IoT devices resource management in micro data-centres.”
Fog Computing: A Taxonomy, Survey and Future Directions (2016, background): “In some papers based on the physical size, Fog servers are termed as micro servers, micro datacentres (Lee et al. [16], Aazam et al. [17]), nano servers (Jalali et al. [18]), etc. whereas other works categorize Fog servers based on their functionalities like cache servers (Zhu et al. [19]),…”
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, background): “In [180], based on the type of service requested and characteristics of a customer, a fog-based IoT resource management model is proposed, in which pricing strategies are designed for new customers and existing customers, respectively.”
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2019, methodology): “Similar to Cloudlets, MDCs [25] are also designed to complement the cloud.”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “Fog computing has a distributed architecture that targets services and applications with widely dispersed deployments [13].”
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “It is common to designate the aforementioned hierarchy of computing capacity as fog nodes [18], cloudlets [19] or micro data centers [20, 21].”
Assessment of the Suitability of Fog Computing in the Context of Internet of Things (2018, background): “[47] and Aazam and Huh [48], [49] have inspected the different intricacies of resource allocation in a fog computing framework.”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “Aazam and Huh in [221] formulated an estimation for pricing of fog services based on CPU, memory, storage, and bandwidth.”