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FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
Distributed, Parallel, and Cluster Computing · Submitted 29 Nov 2018
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim The experimental results show that different FogBus settings can improve latency, energy, network and CPU usage of the computing infrastructure.
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The abstract, sentence by sentence
The requirement of supporting both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity for integrating Edge, Fog and Cloud infrastructure. Although there are a number of real-world frameworks attempt to support such integration, they have many limitations from various perspectives including platform independence, security, resource management and multi-application assistance. To address these limitations, we propose a simplified but effective framework, named FogBus for facilitating end-to-end IoT-Fog(Edge)-Cloud integration. FogBus offers a platform independent interface to IoT applications and computing instances for execution and interaction. It not only assists developers in building applications but also helps users in running multiple applications at a time and service providers to manage their resources. In addition, FogBus applies Blockchain, authentication and encryption techniques to secure operations on sensitive data. Because of its lightweight and cross platform software systems, it is easy to deploy, scalable and cost e_cient. We demonstrate the effectiveness of our framework by creating a computing environment with it that integrates finger pulse oximeter as IoT devices with Smartphone-based gateway and Raspberry Pi-based Fog nodes for Sleep Apnea analysis. We also run several experiments on this computing environment varying FogBus settings. The experimental results show that different FogBus settings can improve latency, energy, network and CPU usage of the computing infrastructure.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | The requirement of supporting both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity for integrating Edge, Fog and Cloud infrastructure. | background 1.00 | 0.05 | 0.03 | asserted 0.99 |
| s1 | Although there are a number of real-world frameworks attempt to support such integration, they have many limitations from various perspectives including platform independence, security, resource management and multi-application assistance. | gap 0.75 | 0.05 | 0.02 | asserted 1.00 |
| s2 | To address these limitations, we propose a simplified but effective framework, named FogBus for facilitating end-to-end IoT-Fog(Edge)-Cloud integration. | contribution 1.00 | 0.84 | 0.13 | asserted 0.98 |
| s3 | FogBus offers a platform independent interface to IoT applications and computing instances for execution and interaction. | contribution 0.86 | 0.68 | 0.06 | asserted 1.00 |
| s4 | It not only assists developers in building applications but also helps users in running multiple applications at a time and service providers to manage their resources. | contribution 0.96 | 0.30 | 0.06 | asserted 0.99 |
| s5 | In addition, FogBus applies Blockchain, authentication and encryption techniques to secure operations on sensitive data. | contribution 0.57 | 0.81 | 0.05 | asserted 1.00 |
| s6 | Because of its lightweight and cross platform software systems, it is easy to deploy, scalable and cost e_cient. | contribution 0.82 | 0.36 | 0.10 | asserted 1.00 |
| s7 | We demonstrate the effectiveness of our framework by creating a computing environment with it that integrates finger pulse oximeter as IoT devices with Smartphone-based gateway and Raspberry Pi-based Fog nodes for Sleep Apnea analysis. | method 0.74 | 0.97 | 0.07 | asserted 1.00 |
| s8 | We also run several experiments on this computing environment varying FogBus settings. | method 0.93 | 0.96 | 0.02 | asserted 0.97 |
| s9 | The experimental results show that different FogBus settings can improve latency, energy, network and CPU usage of the computing infrastructure. | result 0.98 | 0.97 | 0.55 | asserted 0.99 |
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The paper
Original abstract
The requirement of supporting both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity for integrating Edge, Fog and Cloud infrastructure. Although there are a number of real-world frameworks attempt to support such integration, they have many limitations from various perspectives including platform independence, security, resource management and multi-application assistance. To address these limitations, we propose a simplified but effective framework, named FogBus for facilitating end-to-end IoT-Fog(Edge)-Cloud integration. FogBus offers a platform independent interface to IoT applications and computing instances for execution and interaction. It not only assists developers in building applications but also helps users in running multiple applications at a time and service providers to manage their resources. In addition, FogBus applies Blockchain, authentication and encryption techniques to secure operations on sensitive data. Because of its lightweight and cross platform software systems, it is easy to deploy, scalable and cost e_cient. We demonstrate the effectiveness of our framework by creating a computing environment with it that integrates finger pulse oximeter as IoT devices with Smartphone-based gateway and Raspberry Pi-based Fog nodes for Sleep Apnea analysis. We also run several experiments on this computing environment varying FogBus settings. The experimental results show that different FogBus settings can improve latency, energy, network and CPU usage of the computing infrastructure.
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Tuli et al. [ref] developed a framework which was based on blockchain for the edge-Fog computing environment.
Authentication, Access Control, Privacy, Threats and Trust Management Towards Securing Fog Computing Environments: A Review · Recent Works that Used Blockchain for Fog · 0.81
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