Constraint aware profit maximization scheduling of tasks in heterogeneous datacenters

Swain, Chinmaya Kumar; Gupta, B. D.; Sahu, Aryabartta

doi:10.1007/s00607-020-00838-1

Cited by 7 publications

(3 citation statements)

References 38 publications

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“…(3) Scheduling tasks of shared resources is by using the method of upward ranking value, defining the average value of x i representation as the overhead of scheduling shared resource data in the Internet [21,22], and calculating w i by using the following formula:…”

Section: Establishment Of An Internet Resource Data Replacementmentioning

confidence: 99%

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Remote English Teaching Resource Sharing Based on Internet O2O Model

Hou

2022

Scientific Programming

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Aiming at the problems of low success rate, delay, and high communication cost in distance English teaching resource sharing, this paper puts forward a method of distance English teaching resource sharing based on Internet O2O mode. Based on the model of distance English teaching resource sharing, this paper designs four processes: query, reply, resource substitution, and resource sharing optimization. Experimental results show that the proposed method can achieve high success rate of resource sharing, low latency, communication cost, and high transmission efficiency. Therefore, it is an effective method.

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Section: Establishment Of An Internet Resource Data Replacementmentioning

confidence: 99%

“…Based on the calculation results of formula (22), data resource sharing and optimization can be completed. e specific process is shown in Figure 3.…”

Section: Optimization Of Distance English Teaching Resourcesmentioning

confidence: 99%

Remote English Teaching Resource Sharing Based on Internet O2O Model

Hou

2022

Scientific Programming

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“…The primary monetary cost associated with the fog-cloud environment is computational cost. The computation cost depends on the amount of computational resources required to execute the application and execution duration [33]. Herein, we consider two computational resources: The CPU and memory.…”

Section: Computational Costmentioning

confidence: 99%

Hybrid Approach for Cost Efficient Application Placement in Fog-Cloud Computing Environments

Alwabel,

Swain

2024

CMC

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Fog computing has recently developed as a new paradigm with the aim of addressing time-sensitive applications better than with cloud computing by placing and processing tasks in close proximity to the data sources. However, the majority of the fog nodes in this environment are geographically scattered with resources that are limited in terms of capabilities compared to cloud nodes, thus making the application placement problem more complex than that in cloud computing. An approach for cost-efficient application placement in fog-cloud computing environments that combines the benefits of both fog and cloud computing to optimize the placement of applications and services while minimizing costs. This approach is particularly relevant in scenarios where latency, resource constraints, and cost considerations are crucial factors for the deployment of applications. In this study, we propose a hybrid approach that combines a genetic algorithm (GA) with the Flamingo Search Algorithm (FSA) to place application modules while minimizing cost. We consider four cost-types for application deployment: Computation, communication, energy consumption, and violations. The proposed hybrid approach is called GA-FSA and is designed to place the application modules considering the deadline of the application and deploy them appropriately to fog or cloud nodes to curtail the overall cost of the system. An extensive simulation is conducted to assess the performance of the proposed approach compared to other state-of-the-art approaches. The results demonstrate that GA-FSA approach is superior to the other approaches with respect to task guarantee ratio (TGR) and total cost.

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Interference Aware Workload Scheduling for Latency Sensitive Tasks in Cloud Environment

Swain

Sahu

2021

Computing

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Constraint aware profit maximization scheduling of tasks in heterogeneous datacenters

Cited by 7 publications

References 38 publications

Remote English Teaching Resource Sharing Based on Internet O2O Model

Remote English Teaching Resource Sharing Based on Internet O2O Model

Hybrid Approach for Cost Efficient Application Placement in Fog-Cloud Computing Environments

Interference Aware Workload Scheduling for Latency Sensitive Tasks in Cloud Environment

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