Optimized Resource Allocation in Fog-Cloud Environment Using Insert Select

Sharif, Muhammad Usman; Javaid, Nadeem; Ali, Muhammad Junaid; Gilani, Wajahat Ali; Sadam, Abdullah; Ashraf, Muhammad Hassaan

doi:10.1007/978-3-319-98530-5_53

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…The result can be seen in Fig. 5 and 6 [11]. As the load on the different fog node increases the response time of the fog node changed ( Fig.…”

Section: ) Costmentioning

confidence: 86%

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Efficient Energy Utilization in Cloud Fog Environment

Hayat¹,

Nauman²,

Yousaf³

et al. 2019

IJACSA

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Cloud computing provides various kind of services like storage and processing that can be accessed on-demand when required. Despite its countless benefits, it incorporates some issues too that limits the full adaption of cloud and enjoy its various benefits. Mainly the issue faced during the adaptability of cloud infrastructure is high latency and unawareness of location. To overcome these issues the concept of fog computing is introduced to reduce the load on the cloud and improve the allocation of resources. The fog provides the same services as the cloud. The main features of fog are; location awareness, low latency, and mobility. However, increasing the use of IoT devices, also increase the usage of Cloud. Fog environment. So, much usage of fog getting attention of researcher about energy consumption. In this paper, we try to solve the problem of energy consumption in terms of resources allocation by applying the load balancing algorithms and compare its result with the energy models.

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“…The result can be seen in Fig. 5 and 6 [11]. As the load on the different fog node increases the response time of the fog node changed ( Fig.…”

Section: ) Costmentioning

confidence: 86%

“…In [11], the authors talked about resources allotment in the cloud-fog condition. The proposed system IST effectively assigns the resources to DCs and satisfies the DS request.…”

Section: Related Workmentioning

confidence: 99%

Efficient Energy Utilization in Cloud Fog Environment

Hayat¹,

Nauman²,

Yousaf³

et al. 2019

IJACSA

View full text Add to dashboard Cite

show abstract

“…The resource routing has been carried out using dynamic broker policy. Sharif et al [110] have proposed a model to deal with the maximum number of requests in minimum time in a cloud network. The proposed insert select technique (IST) assists the data center in the optimized allocation of virtual machines to the requests.…”

Section: Edge Computing and Fog Computing-based Techniques In Smart Hmentioning

confidence: 99%

A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

et al. 2019

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In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique is to maintain a balance between user comfort and energy requirements, such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gaps in the literature are due to advancements in technology, the drawbacks of optimization algorithms, and the introduction of new optimization algorithms. Further, many newly proposed optimization algorithms have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. Detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes.

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Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment

Kaur

Mehta

2021

Lecture Notes on Data Engineering and Communications Technologies

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Optimized Resource Allocation in Fog-Cloud Environment Using Insert Select

Cited by 3 publications

References 22 publications

Efficient Energy Utilization in Cloud Fog Environment

Efficient Energy Utilization in Cloud Fog Environment

A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment

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