• Corpus ID: 36834147

Big Data Over SmartGrid-A Fog Computing Perspective

  title={Big Data Over SmartGrid-A Fog Computing Perspective},
  author={Paola Gabriela Vinueza Naranjo and Mohammad Shojafar and Leticia Azucena Vaca-Cardenas and Claudia Canali and Riccardo Lancellotti and Enzo Baccarelli},
Nowadays, the Cloud is migrating to the edge of the network and the traditional Cloud Computing (CC) paradigm is not enough for the storage of Big Data (BD) produced by Internet of Things (IoT). To meet this requirement, a new platform is needed, namely ”Fog Computing”. Under Fog Computing, most of the functions of data processing are performed out from the Cloud, so that a reliable and efficient communication system is required, in order to get a robust, affordable and secure power supply… 

Figures and Tables from this paper

Necessity of the Internet of Things and Fog Computing Integration
This paper analyzes ideas and influence of the Fog computing appliance in various IoT scenarios, as well as benefits, potentials, and challenges of Fog computing implementations.
Fog Computing in IoT Aided Smart Grid Transition- Requirements, Prospects, Status Quos and Challenges
This paper synoptically inspects to what extent the cloud computing utilities can satisfy the mission-critical requirements of SG ecosystems and which subdomains and services call for fog based computing archetypes to interplay with the core centered cloud computing support.
Viability of Fog Methodologies in IoT aware Smart Grid Architectures
This work proposes an edge centered FOG (From cOre to edGe) computing model primarily focused to realize the processing and computational objectives of SG to demonstrate the superiority of FOG computing over its cloud counterpart.
Adaptive Deadline-aware Scheme (ADAS) for Data Migration between Cloud and Fog Layers
It is demonstrated that the proposed Adaptive Deadline-Aware Scheme (ADAS) can access and process latency sensitive “hot” data through the proposed ADAS more efficiently than with a traditional Cloud setup.
Enhancing Smart Grids via Advanced Metering Infrastructure and Fog Computing Fusion
In this investigation, the pillars of fog computing, such as decentralization, resiliency, scalability and mobility, offer a perfect match for the decentralized smart grid.
Fog Based Intelligent Transportation Big Data Analytics in The Internet of Vehicles Environment: Motivations, Architecture, Challenges, and Critical Issues
This paper discusses the opportunities and challenges that face the implementation of fog computing and real-time big data analytics in the IoV environment, and merges three dimensions including intelligent computing (i.e. cloud and fog computing) dimension, real- time big data Analytics dimension, and IoV dimension.
Fog BEMS: An Agent-Based Hierarchical Fog Layer Architecture for Improving Scalability in a Building Energy Management System
Fog BEMS is proposed, which applies an emerging fog computing concept to a BEMS and designs an agent-based, modular programming model that eases the development and management of computing services at a fog node.
Edge Computing, IoT and Social Computing in Smart Energy Scenarios
The use of an Edge-IoT platform and a Social Computing framework to build a system aimed to smart energy efficiency in a public building scenario and the results make evident the notable benefits that come from applying Edge Computing to both energy efficiency scenarios and the framework itself.
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study
It is pointed out that the integration of the FC and IoE paradigms may give rise to opportunities for new applications in the realms of the IoE, Smart City, Industry 4.0, and Big Data Streaming while introducing new open issues.
A Fog-Based Internet of Energy Architecture for Transactive Energy Management Systems
A fog-based IoE architecture for transactive energy (TE) management systems, which supports different communication protocols such as hypertext transfer protocol, constrained application protocol, and OpenADR is presented.


Fog computing: A cloud to the ground support for smart things and machine-to-machine networks
  • I. Stojmenovic
  • Computer Science
    2014 Australasian Telecommunication Networks and Applications Conference (ATNAC)
  • 2014
This survey article expands fog computing concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios.
Cloud Computing Applications for Smart Grid: A Survey
This survey presents a synthesized overview of the current state of research on smart grid development, and identifies the current research problems in the areas of cloud-based energy management, information management, and security in smart grid.
An overview of Fog computing and its security issues
This paper studies a typical attack, man‐in‐the‐middle attack, for the discussion of system security in Fog computing, and investigates the stealthy features of this attack by examining its CPU and memory consumption on Fog device.
Processing smart meter data streams in the cloud
  • B. Lohrmann, O. Kao
  • Computer Science, Engineering
    2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies
  • 2011
This paper presents a set of requirements for a utility-side IT infrastructure to process incoming smart meter data streams and proposes the use of Infrastructure-as-a-Service clouds and frameworks for parallel stream processing in clouds to address these requirements.
A Survey of Fog Computing: Concepts, Applications and Issues
The definition of fog computing and similar concepts are discussed, representative application scenarios are introduced, and various aspects of issues the authors may encounter when designing and implementing fog computing systems are identified.
Implementation of Smart Power Management and Service System on Cloud Computing
This paper plays a role for electricity providers, who are actively developing digital meters and power management systems, and develops an energy management system by using service-oriented architecture that uses distributed storage technologies to store and distribute data.
Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption
By sacrificing modest computation resources to save communication bandwidth and reduce transmission latency, fog computing can significantly improve the performance of cloud computing.
Cloud-Based Software Platform for Big Data Analytics in Smart Grids
The article examines the role of clouds and their tradeoffs for use in the Smart Grid Cyber-Physical Sagile System using cloud technologies.
Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid
A new performance metric, accumulated bandwidthdistance product (ABDP), is introduced, to represent the total communication resource usages, and demonstrates that the total cost for the centralized architecture scales linearly as O(λN), with N being the number of smart meters, and λ being the average traffic rate on a smart meter.
Fog Computing: A Platform for Internet of Things and Analytics
This chapter proposes a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing, and pays attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.