Application Based Caching in Fog Computing to Improve Quality of Service

Almobaideen, Wesam; Malkawi, Ola M.

doi:10.1109/fmec49853.2020.9144812

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…Wesam A. Almobaideen and Ola M. Malkawi [51]. ABC FOX is a new caching method presented in this paper (Application Based Caching for Fog Computing).…”

Section: Literature Reviewmentioning

confidence: 99%

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A Comprehensive Study of Caching Effects on Fog Computing Performance

AbdulQadir

Salih

Ahmed

et al. 2021

AJRCoS

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The rapid advancement in the Internet of things applications generates a considerable amount of data and requires additional computing power. These are serious challenges that directly impact the performance, latency, and network breakdown of cloud computing. Fog Computing can be depended on as an excellent solution to overcome some related problems in cloud computing. Fog computing supports cloud computing to become nearer to the Internet of Things. The fog's main task is to access the data generated by the IoT devices near the edge. The data storage and data processing are performed locally at the fog nodes instead of achieving that at cloud servers. Fog computing presents high-quality services and fast response time. Therefore, Fog computing can be the best solution for the Internet of things to present a practical and secure service for various clients. Fog computing enables sufficient management for the services and resources by keeping the devices closer to the network edge. In this paper, we review various computing paradigms, features of fog computing, an in-depth reference architecture of fog with its various levels, a detailed analysis of fog with different applications, various fog system algorithms, and also systematically examines the challenges in Fog Computing which act as a middle layer between IoT sensors or devices and data centers of the cloud.

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“…Wesam A. Almobaideen and Ola M. Malkawi [51]. ABC FOX is a new caching method presented in this paper (Application Based Caching for Fog Computing).…”

Section: Literature Reviewmentioning

confidence: 99%

“…So, a natural question here is, "should we use a container or a hypervisor?" Cloudlet, as we know, employs hypervisor virtualization techniques, but Paradrop employs a more lightweight solution: Virtualization at the OS level, i.e., containers [51,52]. Because their hardware has varied capabilities, they make different design decisions.…”

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confidence: 99%

A Comprehensive Study of Caching Effects on Fog Computing Performance

AbdulQadir

Salih

Ahmed

et al. 2021

AJRCoS

View full text Add to dashboard Cite

show abstract

“…This means that millions or even billions of files have been uploaded to cloud computing resources. Security of resources over the cloud is a challenging issue that has to be addressed [43] [3]. Fog computing is similar to cloud computing but closer to the user which also has many security concerns [2] Cloud computing forensics refers to one of the digital forensics branches This branch has gained popularity from the importance of today's cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Investigation Framework for Cloud Forensics using Dynamic Genetic-based Clustering

Alkhanafseh¹,

Qatawneh²,

Almobaideen³

2022

IJACSA

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Cloud computing allows a pool of resources, such as storage, computation power, communication bandwidth, to be shared and accessed by many users from different locations. High dependency on sharing resources among different cloud users allows some attacker to hide and commit crimes using cloud resources and as a result, cloud computing forensics become essential. Many solutions and frameworks for cloud computing forensics have been developed to deal with could based crimes. However, many problems and issues face the proposed solutions and frameworks. In this paper, a new framework for cloud computing forensics is proposed to enhance the investigation process performance and accuracy by adding a new stage to conventional stages. This new stage includes the implementation of a new way for matching based on the LSH algorithm. The proposed framework evaluation results show an improvement for matching and accurate cluster retrieval through the collection process.

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Application Based Caching in Fog Computing to Improve Quality of Service

Cited by 2 publications

References 20 publications

A Comprehensive Study of Caching Effects on Fog Computing Performance

A Comprehensive Study of Caching Effects on Fog Computing Performance

Investigation Framework for Cloud Forensics using Dynamic Genetic-based Clustering

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