CFRO: Cloudlet Federation for Resource Optimization

Nayyer, Muhammad Ziad; Raza, Imran; Hussain, Syed Asad

doi:10.1109/access.2020.2999938

Cited by 11 publications

(8 citation statements)

References 43 publications

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“…In [18], the authors propose a latency minimization model to provide higher efficient service provisioning in horizontal edge federation and propose a two-phase iterative approach, which alternately determines optimal task dispatching and computation resource allocation. In order to simultaneously meet the SLA requirements of IoT (Internet of Thing) devices and edge service providers, the authors in [19] design an intelligent request service provisioning system based on reinforcement learning as part of a smart edge orchestrator in the edge federation. Considering the delay and capacity constraints, [20] proposes an optimization model to minimize the total energy cost and the energy efficient offloading ratio of edge nodes.…”

Section: B Task Migration In Edge Federation Scenariomentioning

confidence: 99%

Delay-Aware and Profit-Maximizing Task Migration for the Cloudlet Federation

Ye¹,

Guo²,

Li³

2022

IJACSA

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As the result of Open Edge Computing (OEC) project, cloudlet embodies the middle layer of edge computing architecture. Due to the close deployment to the user side, responding to user requests through cloudlet can reduce delay, improve security, and reduce bandwidth occupancy. In order to improve the quality of user experience, more and more cloudlets need to be deployed, which makes the deployment and management costs of Clouldlet service Providers (CLP) significantly increased. Therefore, the cloudlet federation appears as a new paradigm that can reduce the cost of cloudlet deployment and management by sharing cloudlet resources among CLPs.Facing the cloudlet federation scenario, more attention still needs to be paid to the heterogeneity of resource prices, the balance of benefits among CLPs, and the more complex delay computation when exploring task migration strategies. For delay-sensitive and delay-tolerance tasks, a delay-aware and profit-maximizing task migration strategy is proposed considering the relationship between the delay and the quotation of different tasks, as well as the dynamic pricing mechanism when resources are shared among CLPs. Experimental results show that the proposed algorithm outperforms the baseline algorithm in terms of revenue and response delay.

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Section: B Task Migration In Edge Federation Scenariomentioning

confidence: 99%

Delay-Aware and Profit-Maximizing Task Migration for the Cloudlet Federation

Ye¹,

Guo²,

Li³

2022

IJACSA

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“…The core function of a computer system is to meet the end user requirements. All computer systems have CPU as the key component for scheduling and management of different tasks on the basis of available resources (Nayyer et al, 2020& Mhedheb et al, 2016. Different task scheduling algorithms have been reported in the literature to get the maximum output (Bose et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Cloudlet federation provides different type of services such as computational and storage services (Nayyer et al, 2020). In Cloudlet Federation, systems are virtualized for maximum utilization of the available resources to meet the increasing user demands.…”

Section: Introductionmentioning

confidence: 99%

Energy Aware Load Balancing in Cloudlet Federation

Inam

Nayyer²,

Chaudary³

2022

JER is an international, peer-reviewed journal that publishes f

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With the rapid increase of compute intensive tasks and workload, the need of the hour is to manage the total workload due to resource constraints and increased cost. For complex computations where multiple computer systems are required to execute a single task such as in federated cloudlet environment, load balancing is the main challenge. Load balancing means to divide the total workload between all the member nodes to get the maximum benefits from the federated environment. A cloudlet is a resourceful computer that is coupled to the Internet and is accessible to the mobile devices in the vicinity. Cloudlet Federation is the concept of a cooperative framework to share resources and load balancing among various member cloudlets. Different tasks consume different amount of energy for their execution that results in a large amount of heat dissipation. Due to heat, the performance of the systems is decreased. The more heat, the more performance degradation, so it becomes very vital to keep the energy consumption as minimum as possible. To address this problem, this paper proposes a novel scheduling strategy that will distribute the total load between all the member nodes in a federated cloudlet environment for load balancing. The proposed methodology not only considers the energy level of the system on which the task has to be executed but also considers the energy required by the tasks in queue. The proposed methodology is tested in a Cloudlet Federation environment and the results show an improved load balancing in terms of energy consumption.

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“…The core function of a computer system is to assist in meeting the end user's requirements. All computer systems have a CPU as the key component for scheduling and management of different tasks on the basis of available resources [1,2]. Different task scheduling algorithms have been offered in previous years for scheduling the tasks to obtain the maximum output [3].…”

Section: Introductionmentioning

confidence: 99%

“…Cloudlet federation provides different types of services such as computing and data storage [1]. In Cloudlet Federation, systems are virtualized for maximum utilization of the available resources to meet the increasing user demands regarding various services.…”

Section: Introductionmentioning

confidence: 99%

Energy-Aware Load Balancing in a Cloudlet Federation

Inam

Nayyer

2021

The 1st International Conference on Energy, Power and Environment

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With the rapid increase in computation-intensive tasks, the current research task is to minimize energy consumption due to resource constraints and increased cost. For complex computations where multiple computer systems are required to execute a single task such as in a federated cloudlet environment, load balancing is the main challenge. Load balancing means dividing the total workload between all the present nodes to obtain the maximum benefits from the available resources and to minimize energy consumption. A cloudlet is a resourceful computer that is coupled to the Internet and is accessible for mobile devices in their vicinity. A Cloudlet Federation is the concept of a cooperative framework to share resources and load balancing among various cloudlets. Different tasks consume different amounts of energy for their execution, which results in a large amount of heat dissipation. Due to heat, the performance of the systems is decreased. The more heat is present, the more the performance degrades. To address this problem, this paper proposes a novel scheduling strategy that will assign incoming tasks to systems according to their energy consumption level. The proposed methodology is tested in a Cloudlet Federation environment and the results show improved load balancing in terms of energy consumption and heat dissipation.

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CFRO: Cloudlet Federation for Resource Optimization

Cited by 11 publications

References 43 publications

Delay-Aware and Profit-Maximizing Task Migration for the Cloudlet Federation

Delay-Aware and Profit-Maximizing Task Migration for the Cloudlet Federation

Energy Aware Load Balancing in Cloudlet Federation

Energy-Aware Load Balancing in a Cloudlet Federation

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