A Novel Fog-Based Multi-Level Energy-Efficient Framework for IoT-Enabled Smart Environments

Ammad, Muhammad; Shah, Munam Ali; Islam, Saif ul; Maple, Carsten; Alaulamie, Abdullah A.; Rodrigues, Joel J. P. C.; Mussadiq, Shafaq; Tariq, Usman

doi:10.1109/access.2020.3010157

Cited by 29 publications

(14 citation statements)

References 40 publications

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“…We will also incorporate mechanisms to compute other fog node aspects in the Fog Registry which can improve content offloading strategies. Furthermore, we will evaluate our enhanced version of the framework against other metrics, such as the energy consumption of the fog nodes and integrate our framework with other fog-based energy efficient frameworks such as the one proposed in [19].…”

Section: Discussionmentioning

confidence: 99%

Fog-Based CDN Framework for Minimizing Latency of Web Services Using Fog-Based HTTP Browser

2021

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Cloud computing has been a dominant computing paradigm for many years. It provides applications with computing, storage, and networking capabilities. Furthermore, it enhances the scalability and quality of service (QoS) of applications and offers the better utilization of resources. Recently, these advantages of cloud computing have deteriorated in quality. Cloud services have been affected in terms of latency and QoS due to the high streams of data produced by many Internet of Things (IoT) devices, smart machines, and other computing devices joining the network, which in turn affects network capabilities. Content delivery networks (CDNs) previously provided a partial solution for content retrieval, availability, and resource download time. CDNs rely on the geographic distribution of cloud servers to provide better content reachability. CDNs are perceived as a network layer near cloud data centers. Recently, CDNs began to perceive the same degradations of QoS due to the same factors. Fog computing fills the gap between cloud services and consumers by bringing cloud capabilities close to end devices. Fog computing is perceived as another network layer near end devices. The adoption of the CDN model in fog computing is a promising approach to providing better QoS and latency for cloud services. Therefore, a fog-based CDN framework capable of reducing the load time of web services was proposed in this paper. To evaluate our proposed framework and provide a complete set of tools for its use, a fog-based browser was developed. We showed that our proposed fog-based CDN framework improved the load time of web pages compared to the results attained through the use of the traditional CDN. Different experiments were conducted with a simple network topology against six websites with different content sizes along with a different number of fog nodes at different network distances. The results of these experiments show that with a fog-based CDN framework offloading autonomy, latency can be reduced by 85% and enhance the user experience of websites.

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Section: Discussionmentioning

confidence: 99%

Fog-Based CDN Framework for Minimizing Latency of Web Services Using Fog-Based HTTP Browser

2021

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“…A smart environment is another better option in PA for intelligent data transmission. Hence, a recent study by Ammad et al [20] used fog computing over an IoT-based environment to improve network lifetime. Zhao et al [21] have implemented another bioinspired algorithm where the coverage issue is emphasized concerning energy problems.…”

Section: Existing Approach To Energymentioning

confidence: 99%

Novel Framework for Secure Data Aggregation in Precision Agriculture with Extensive Energy Efficiency

Nagaraja¹,

Vanishree²,

Azam

2023

Journal of Computer Networks and Communications

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Precision agriculture (PA) is the next generation of a technological revolution in smart farming, where sensing technology is the core technological player. Energy-efficient data transmission in PA via sensing technology is possible only when additional security measures are synchronized. Nevertheless, security considerations often introduce additional overhead. Thus, it is necessary to develop an efficient mechanism to achieve an optimal trade-off between security and resource efficiency. The prime purpose of the proposed study is to introduce a lightweight communication protocol that can ensure an adequate balance between energy efficiency and maximum-security demands to benefit the success of PA. This paper proposes a synchronized framework where unique public-key encryption has been used, unlike any existing approach to facilitate the participation of legitimate on-field sensors in PA. On the other hand, an algorithm for energy efficiency where unique structural management of routing is discussed concerning aggregator nodes. In contrast, the security algorithm discusses a uniquely progressive and noniterative mechanism to perform secure data aggregation with a parallel validation technique. The proposed logic is scripted in MATLAB, considering a suitable PA environment where comparative assessment is carried out on a uniform testbed. The study outcome exhibited the effectiveness of the proposed scheme concerning better energy efficiency and higher resiliency from threats in contrast to existing schemes.

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“…In nanoscale computing environment a cost-efficient and intelligent resource consolidation algorithm was proposed in this paper by the author. 70 This algorithm dynamically reconfigures cloud resources and is designed to predict designs of nano scale device scheduling. For this, we used hidden mark of model to deal with the complexity because of huge number of devices.…”

Section: Ta B L Ementioning

confidence: 99%

A systematic review of task scheduling approaches in fog computing

Bansal

Aggarwal

2022

Trans Emerging Tel Tech

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Due to increased use of IoT devices and data sensors a huge amount of data is being produced for processing in real-time. Fog computing has evolved as a solution for fast processing of data. To complete the data processing as per requirement of user, it is processed at fog nodes which are near the user. To complete work in a specified time with limited resources, task scheduling is performed. With the increased amount of data to be processed, the completion of task within given time in fog computing is a major challenge. So, scheduling of tasks and resources is a very important issue. A lot of research has been undertaken in recent years. In this survey, authors have reviewed various task scheduling algorithms suggested by researchers to meet the user requirements.The focus of this article is on diverse scheduling techniques being deployed in fog computing. An effort has been made to classify existing approaches, research issues and determine significant issues existing in this field. There are four major scheduling categories that are used by researchers namely, static, dynamic, heuristic, and hybrid. As per this study, 17% researchers deployed static, 23% dynamic, 47% heuristic, and 13% hybrid approaches, respectively.Analysis shows that for QoS (Quality of Service) parameters 19% researchers are focused on response time, 18% on cost and energy consumption, and 16% on makespan. For QoS parameter other factors have much smaller contribution in comparison to the above factors. In the tools used, researchers observed that 40% of the researches have used iFogSim, according to literature. Besides, this research article also discusses open issues and future work in the field of fog computing. This article also underlines various open issues and future directions in the field of fog computing.

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A Novel Fog-Based Multi-Level Energy-Efficient Framework for IoT-Enabled Smart Environments

Cited by 29 publications

References 40 publications

Fog-Based CDN Framework for Minimizing Latency of Web Services Using Fog-Based HTTP Browser

Fog-Based CDN Framework for Minimizing Latency of Web Services Using Fog-Based HTTP Browser

Novel Framework for Secure Data Aggregation in Precision Agriculture with Extensive Energy Efficiency

A systematic review of task scheduling approaches in fog computing

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