Enhancing the capabilities of IoT based fog and cloud infrastructures for time sensitive events

Zohora, Fatema Tuz; Khan, Md. Rezwanur Rahman; Bhuiyan, Md. Fazla Rabbi; Das, Amit Kumar

doi:10.1109/icecos.2017.8167139

Cited by 25 publications

(7 citation statements)

References 8 publications

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“…Fog nodes can have overlap in their coverage area [35], as illustrated in Figure 4. • Selecting the Best Neighboring Fog Node Fog nodes form an ad hoc network between them to share and exchange data such as their queueing delay.…”

Section: • Coverage Methodsmentioning

confidence: 99%

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Dynamically Controlling Offloading Thresholds in Fog Systems

Alenizi

Rana

2021

Sensors

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Fog computing is a potential solution to overcome the shortcomings of cloud-based processing of IoT tasks. These drawbacks can include high latency, location awareness, and security—attributed to the distance between IoT devices and cloud-hosted servers. Although fog computing has evolved as a solution to address these challenges, it is known for having limited resources that need to be effectively utilized, or its advantages could be lost. Computational offloading and resource management are critical to be able to benefit from fog computing systems. We introduce a dynamic, online, offloading scheme that involves the execution of delay-sensitive tasks. This paper proposes an architecture of a fog node able to adjust its offloading threshold dynamically (i.e., the criteria by which a fog node decides whether tasks should be offloaded rather than executed locally) using two algorithms: dynamic task scheduling (DTS) and dynamic energy control (DEC). These algorithms seek to minimize overall delay, maximize throughput, and minimize energy consumption at the fog layer. Compared to other benchmarks, our approach could reduce latency by up to 95%, improve throughput by 71%, and reduce energy consumption by up to 67% in fog nodes.

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Section: • Coverage Methodsmentioning

confidence: 99%

“…Signal propagation ( PS ) speed is assumed to be equivalent to the speed of light [ 35 ], i.e., c = 3 × 10 8 .…”

Section: System Modelling and Constraintsmentioning

confidence: 99%

Dynamically Controlling Offloading Thresholds in Fog Systems

Alenizi

Rana

2021

Sensors

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“…To achieve area coverage, several fog nodes are required. Fogs can also overlap to achieve maximum coverage as in [28] see Figure. 3.…”

Section: • Coverage Methodsmentioning

confidence: 99%

Minimising Delay and Energy in Online Dynamic Fog Systems

Alenizi¹,

Rana²

2020

Computer Science &Amp; Information Technology (CS &Amp; IT)

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The increasing use of Internet of Things (IoT) devices generates a greater demand for data transfers and puts increased pressure on networks. Additionally, connectivity to cloud services can be costly and inefficient. Fog computing provides resources in proximity to user devices to overcome these drawbacks. However, optimisation of quality of service (QoS) in IoT applications and the management of fog resources are becoming challenging problems. This paper describes a dynamic online offloading scheme in vehicular traffic applications that require execution of delay-sensitive tasks. This paper proposes a combination of two algorithms: dynamic task scheduling (DTS) and dynamic energy control (DEC) that aim to minimise overall delay, enhance throughput of user tasks and minimise energy consumption at the fog layer while maximising the use of resource-constrained fog nodes. Compared to other schemes, our experimental results show that these algorithms can reduce the delay by up to 80.79% and reduce energy consumption by up to 66.39% in fog nodes. Additionally, this approach enhances task execution throughput by 40.88%.

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“…Cai Shuo, Huan Liu, and Suhang Wang have formulated a dataset with accurate information [24]. They gave two news rankings (fake and real) [25][26][27][28] for two of the client meetings [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Lightweight Chain for Detection of Rumors and Fake News in Social Media

Alsaawy¹,

Alkhodre²,

Bahbouh³

et al. 2021

IJACSA

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Social media has become one of the most important sources of news in our lives, but the process of validating news and limiting rumors remains an open research issue. Many researchers have suggested using Blockchain to solve this problem, but it has traditionally failed due to the large volume of data and users in such environments. In this paper, we propose to modify the structure of the Blockchain while preserving its main characteristics. We achieve this by integrating customize blockchain with the Text Mining (TM) algorithm to create a modified Light Weight chain (LWC). LWC will speed up the verification process, which is carried out through proof of good history where the nodes will have the weights according to their previous posts. Moreover, the LWC will be compatible with different applications such as verifying the authenticity of news or legal religious ruling (fatwas). In this research, we have implemented a simple model to simulate the proposed LWC for the detection of fake news and preserving the characteristics and features of the traditional Blockchain. The results on experimental data reflect the effectiveness of the proposed algorithm in establishing the chain.

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Enhancing the capabilities of IoT based fog and cloud infrastructures for time sensitive events

Cited by 25 publications

References 8 publications

Dynamically Controlling Offloading Thresholds in Fog Systems

Dynamically Controlling Offloading Thresholds in Fog Systems

Minimising Delay and Energy in Online Dynamic Fog Systems

Lightweight Chain for Detection of Rumors and Fake News in Social Media

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