Dynamic fog-to-fog offloading in SDN-based fog computing systems

Phan, Linh-An; Nguyen, Duc-Thang; Lee, Meonghun; Park, Dae-Heon; Kim, Taejoon

doi:10.1016/j.future.2020.12.021

Cited by 60 publications

(42 citation statements)

References 41 publications

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“…SDN also balances the load between Fog nodes, which can be vehicles in IoV environments, and the Cloud to allow time-sensitive tasks meet their deadlines [124]. When a Fog is overloaded, SDN dynamically makes offloading decisions to select the best offloading Fog node based on computational and network resource information [125]. Blockchain augments SDN benefits for IoT networks by providing security, privacy, flexibility, scalability, and confidentiality to increase energy utilization and throughput while reducing end-to-end delay [126].…”

Section: Blockchain and Software-defined Networking (Sdn)mentioning

confidence: 99%

Blockchain as privacy and security solution for smart environments: A Survey

Ebrahim¹,

Hafid²,

Elie³

2022

Preprint

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Blockchain was always associated with Bitcoin, cryptocurrencies, and digital asset trading. However, the benefits of Blockchain are far beyond that. It has been recently used to support and augment many other technologies, including the Internet-of-Things (IoT). IoT, with the help of Blockchain, paves the way for futuristic smart environments, like smart homes, smart transportation, smart energy trading, smart industries, smart supply chains, and more. To enable these smart environments, IoT devices, machines, appliances, and vehicles, will need to intercommunicate without the need for a centralized trusted party. Blockchain can replace third trusted parties by providing secure means of decentralization in such trustless environments. They also provide security enforcement, privacy assurance, authentication, and other important features to IoT ecosystems. Besides the benefits of Blockchain-IoT integration for smart environments, other technologies also have important features and benefits that attracted the research community. Software-Defined Networking (SDN), Fog, Edge, and Cloud Computing technologies, for example, play an important role in enabling realistic IoT applications. Moreover, the integration of Machine Learning and Artificial Intelligence (AI) algorithms provides smart, dynamic, and autonomous decisionmaking capabilities for IoT devices in smart environments. To push the research further in this domain, we provide in this paper a comprehensive survey that includes state-of-the-art technological integration, challenges, and solutions for smart environments, and the role of Blockchain and IoT technologies as the building blocks of such smart environments. We also demonstrate how the level of integration between these technologies has increased over the years, which brings us closer to the futuristic view of smart environments. We further discuss the current need to provide general-purpose Blockchain platforms that can adapt to different design requirements of different applications and solutions. Finally, we provide a simplified architecture of futuristic smart environments that integrates all these technologies, showing the advantage of such integration.

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Section: Blockchain and Software-defined Networking (Sdn)mentioning

confidence: 99%

Blockchain as privacy and security solution for smart environments: A Survey

Ebrahim¹,

Hafid²,

Elie³

2022

Preprint

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“…Works which focus on other potential applications of fog computing (e.g., content distribution/caching [4]- [6]) are therefore not included in this overview as their network and traffic scenarios are significantly different from ours. Papers not taking energy consumption into account, e.g., [7]- [9] and those who only look at power consumption as a constraint, e.g., [10] are also intentionally omitted.…”

Section: Related Workmentioning

confidence: 99%

Task Allocation for Energy Optimization in Fog Computing Networks with Latency Constraints

Kopras¹,

Bossy²,

Idzikowski³

et al. 2022

Preprint

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How should the tasks be distributed between fog and cloud nodes? We formulate a universal non-convex Mixed-Integer Nonlinear Programming (MINLP) problem minimizing task transmission-and processingrelated energy with delay constraints to answer this question. It is transformed with Successive Convex Approximation (SCA) and decomposed using the primal and dual decomposition techniques. Two practical algorithms called Energy-EFFicient Resource Allocation (EEFFRA) and Low-Complexity (LC)-EEFFRA are proposed. They allow for successful distribution of network requests between FNs and the cloud in various scenarios significantly reducing the average energy cost and decreasing the number of computational requests with unmet delay requirements.

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“…Task offloading refers to getting assistance from other devices in a way that another device performs tasks on behalf of the local device. Task offloading can be in the form of device-to-device offloading [46], device-to-fog offloading [47], fog-to-fog offloading [48] or fog-to-cloud offloading [2].…”

Section: Sdn In Task Offloading For Cloud-fogmentioning

confidence: 99%

“…In the research paper [48], the authors proposed a dynamic offloading mechanism among the fog nodes to address the challenge of static offloading and oblivious link selection in vehicular networks. The incitation for fog-to-fog offloading is raising the computational overhead for a single fog node.…”

Section: Sdn In Task Offloading For Cloud-fogmentioning

confidence: 99%

Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges

Ahvar

Raza

et al. 2021

Network

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In recent years, the number of objects connected to the internet have significantly increased. Increasing the number of connected devices to the internet is transforming today’s Internet of Things (IoT) into massive IoT of the future. It is predicted that, in a few years, a high communication and computation capacity will be required to meet the demands of massive IoT devices and applications requiring data sharing and processing. 5G and beyond mobile networks are expected to fulfill a part of these requirements by providing a data rate of up to terabits per second. It will be a key enabler to support massive IoT and emerging mission critical applications with strict delay constraints. On the other hand, the next generation of software-defined networking (SDN) with emerging cloudrelated technologies (e.g., fog and edge computing) can play an important role in supporting and implementing the above-mentioned applications. This paper sets out the potential opportunities and important challenges that must be addressed in considering options for using SDN in hybrid cloud-fog systems to support 5G and beyond-enabled applications.

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Dynamic fog-to-fog offloading in SDN-based fog computing systems

Cited by 60 publications

References 41 publications

Blockchain as privacy and security solution for smart environments: A Survey

Blockchain as privacy and security solution for smart environments: A Survey

Task Allocation for Energy Optimization in Fog Computing Networks with Latency Constraints

Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges

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