Demystifying Multi-Tier Cost Model for Scheduling in Fog Communication Networks

2022 ◽  
pp. 145-152
Author(s):  
Jagadesh T. ◽  
Jaishankar B.
Keyword(s):  
Nash Equilibrium ◽  
Communication Networks ◽  
Cost Minimization ◽  
Cost Model ◽  
User Equipment ◽  
Multi Level ◽  
The Cost

In this chapter, the authors explore a cost model and the come about cost-minimization client booking issue in multi-level mist figuring organizations. For an average multi-level haze figuring network comprising of one haze control hub (FCN), different fog access nodes (FANs), and user equipment (UE), how to model the cost paid to FANs for propelling assets sharing and how to adequately plan UEs to limit the cost for FCN are still issues to be settled. To unravel these issues, multi-level cost model, including the administration delay and a straight backwards request dynamic installment conspire, is proposed, and a cost-minimization client planning issue is defined. Further, the client planning issue is reformulated as an expected game and demonstrated to have a Nash equilibrium (NE) arrangement.

scholarly journals Estimating the economic life of forest machinery using the cumulative cost model and cost minimization model in Iranian Caspian forests

2018 ◽  
Vol 64 (No. 5) ◽  
pp. 216-223 ◽  
Author(s):  
Hejazian Mohammad ◽  
Lotfalian Majid ◽  
Limaei Soleiman Mohammadi
Keyword(s):  
Life Cycle ◽  
Cost Minimization ◽  
Cost Model ◽  
Life Cycle Costing ◽  
Economic Life ◽  
Cumulative Cost ◽  
Cumulative Cost Model ◽  
The Cost ◽  
Costing Analysis

This study was conducted in order to estimate the economic life of two models of rubber-tired skidders, namely Timberjack 450C and HSM 904, in Iranian Caspian forests. The total annual costs and average cumulative cost of skidders were calculated by life-cycle costing analysis. The economic life of the machines was estimated by both the cumulative cost model and cost minimization model. The results indicated that the economic life of Timberjack 450C and HSM 904 is 7,700 h (at the end of the 11<sup>th</sup> year) and 15,300 h (at the end of the 17<sup>th</sup> year), respectively, using the cost minimization model. Furthermore, the results indicated that the economic life of Timberjack 450C and HSM 904 is 9,100 h (at the end of the 13<sup>th</sup> year) and 11,900 h (at the end of the 21<sup>st</sup> year), respectively, using the cumulative cost model. The cumulative cost model estimated the economic life of skidders longer than the cost minimization model.

scholarly journals Genetic algorithm for network cost minimization using threshold based discounting

2003 ◽  
Vol 7 (4) ◽  
pp. 207-228 ◽  
Author(s):  
Hrvoje Podnar ◽  
Jadranka Skorin-Kapov
Keyword(s):  
Genetic Algorithm ◽  
Communication Networks ◽  
Branch And Bound ◽  
Cost Minimization ◽  
Total Flow ◽  
Cpu Time ◽  
Network Cost ◽  
Cost Minimization Problem ◽  
The Cost ◽  
Different Sources

We present a genetic algorithm for heuristically solving a cost minimization problem applied to communication networks with threshold based discounting. The network model assumes that every two nodes can communicate and offers incentives to combine flow from different sources. Namely, there is a prescribed threshold on every link, and if the total flow on a link is greater than the threshold, the cost of this flow is discounted by a factor α. A heuristic algorithm based on genetic strategy is developed and applied to a benchmark set of problems. The results are compared with former branch and bound results using the CPLEX® solver. For larger data instances we were able to obtain improved solutions using less CPU time, confirming the effectiveness of our heuristic approach.

scholarly journals Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction

Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 50 ◽  
Author(s):  
Jing Hu ◽  
Yaling Lai ◽  
Ao Peng ◽  
Xuemin Hong ◽  
Jianghong Shi
Keyword(s):  
Communication Networks ◽  
User Behavior ◽  
Cost Minimization ◽  
Cost Model ◽  
Window Size ◽  
Cost Effective ◽  
Content Delivery ◽  
Price Ratio ◽  
Unified Framework ◽  
Demand Prediction

Cost-effective delivery of massive data content is a pressing challenge facing modern mobile communication networks. In the literature, two primary approaches to tackle this challenge are service-tier differentiation and personalized proactive content caching. However, these two approaches have not been integrated and studied in a unified framework. This paper proposes an integrated proactive content delivery scheme that jointly exploits the availability of multiple service tiers and multi-user behavior prediction. Three optimal algorithms and one heuristic algorithm are introduced to solve the cost-minimization problems of multi-user proactive content delivery under different modelling assumptions. The performance of the proposed scheme is systematically investigated to reveal the impacts of proactive window size, service-tier price ratio, and traffic cost model on the system performance.

scholarly journals Advanced Computation Capacity Modeling for Delay-Constrained Placement of IoT Services

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3830
Author(s):  
Balázs Németh ◽  
Balázs Sonkoly
Keyword(s):  
Internet Of Things ◽  
Communication Networks ◽  
Cost Minimization ◽  
Efficient Solutions ◽  
Dynamic Features ◽  
Delay Constraint ◽  
Service Placement ◽  
Placement Algorithms ◽  
Capacity Modeling ◽  
The Cost

A vast range of sensors gather data about our environment, industries and homes. The great profit hidden in this data can only be exploited if it is integrated with relevant services for analysis and usage. A core concept of the Internet of Things targets this business opportunity through various applications. The virtualized and software-controlled 5G networks are expected to achieve the scale and dynamicity of communication networks required by Internet of Things (IoT). As the computation and communication infrastructure rapidly evolves, the corresponding substrate models of service placement algorithms lag behind, failing to appropriately describe resource abstraction and dynamic features. Our paper provides an extension to existing IoT service placement algorithms to enable them to keep up with the latest infrastructure evolution, while maintaining their existing attributes, such as end-to-end delay constraints and the cost minimization objective. We complement our recent work on 5G service placement algorithms by theoretical foundation for resource abstraction, elasticity and delay constraint. We propose efficient solutions for the problems of aggregating computation resource capacities and behavior prediction of dynamic Kubernetes infrastructure in a delay-constrained service embedding framework. Our results are supported by mathematical theorems whose proofs are presented in detail.

Cost-minimization analysis of drugs used in the treatment of Asthma and COPD diseases in India

2020 ◽  
Vol 15 ◽  
Author(s):  
Billu Payal ◽  
Anoop Kumar ◽  
Harsh Saxena
Keyword(s):  
Generic Drugs ◽  
Cost Minimization ◽  
Cost Savings ◽  
Chronic Obstructive ◽  
Pulmonary Medicine ◽  
Potential Cost ◽  
Maximum Cost ◽  
Cost Minimization Analysis ◽  
Cost Variation ◽  
The Cost

Background: Asthma and Chronic Obstructive Pulmonary Diseases (COPD) are well known respiratory diseases affecting millions of peoples in India. In the market, various branded generics, as well as generic drugs, are available for their treatment and how much cost will be saved by utilizing generic medicine is still unclear among physicians. Thus, the main aim of the current investigation was to perform cost-minimization analysis of generic versus branded generic (high and low expensive) drugs and branded generic (high expensive) versus branded generic (least expensive) used in the Department of Pulmonary Medicine of Era Medical University, Lucknow for the treatment of asthma and COPD. Methodology: The current index of medical stores (CIMS) was referred for the cost of branded drugs whereas the cost of generic drugs was taken from Jan Aushadi scheme of India 2016. The percentage of cost variation particularly to Asthma and COPD regimens on substituting available generic drugs was calculated using standard formula and costs were presented in Indian Rupees (as of 2019). Results: The maximum cost variation was found between the respules budesonide high expensive branded generic versus least expensive branded generic drugs and generic versus high expensive branded generic. In combination, the maximum cost variation was observed in the montelukast and levocetirizine combination. Conclusion: In conclusion, this study inferred that substituting generic antiasthmatics and COPD drugs can bring potential cost savings in patients.

scholarly journals Economic burden of childhood diarrhea in Burundi

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Fulgence Niyibitegeka ◽  
Arthorn Riewpaiboon ◽  
Sitaporn Youngkong ◽  
Montarat Thavorncharoensap
Keyword(s):  
Economic Burden ◽  
Cost Model ◽  
Primary Treatment ◽  
Management Program ◽  
Community Based ◽  
Factors Affecting ◽  
Hospitalization Costs ◽  
Illness Study ◽  
The Cost ◽  
Substantial Economic Burden

Abstract Background In 2016, diarrhea killed around 7 children aged under 5 years per 1000 live births in Burundi. The objective of this study was to estimate the economic burden associated with diarrhea in Burundi and to examine factors affecting the cost to provide economic evidence useful for the policymaking about clinical management of diarrhea. Methods The study was designed as a prospective cost-of-illness study using an incidence-based approach from the societal perspective. The study included patients aged under 5 years with acute non-bloody diarrhea who visited Buyenzi health center and Prince Regent Charles hospital from November to December 2019. Data were collected through interviews with patients’ caregivers and review of patients’ medical and financial records. Multiple linear regression was performed to identify factors affecting cost, and a cost model was used to generate predictions of various clinical and care management costs. All costs were converted into international dollars for the year 2019. Results One hundred thirty-eight patients with an average age of 14.45 months were included in this study. Twenty-one percent of the total patients included were admitted. The average total cost per episode of diarrhea was Int$109.01. Outpatient visit and hospitalization costs per episode of diarrhea were Int$59.87 and Int$292, respectively. The costs were significantly affected by the health facility type, patient type, health insurance scheme, complications with dehydration, and duration of the episode before consultation. Our model indicates that the prevention of one case of dehydration results in savings of Int$16.81, accounting for approximately 11 times of the primary treatment cost of one case of diarrhea in the community-based management program for diarrhea in Burundi. Conclusion Diarrhea is associated with a substantial economic burden to society. Evidence from this study provides useful information to support health interventions aimed at prevention of diarrhea and dehydration related to diarrhea in Burundi. Appropriate and timely care provided to patients with diarrhea in their communities and primary health centers can significantly reduce the economic burden of diarrhea. Implementing a health policy to provide inexpensive treatment to prevent dehydration can save significant amount of health expenditure.

Compensation based on active power filters – The cost minimization

2015 ◽  
Vol 267 ◽  
pp. 648-654 ◽  
Author(s):  
Marcin Maciążek ◽  
Dariusz Grabowski ◽  
Marian Pasko ◽  
Michał Lewandowski
Keyword(s):  
Cost Minimization ◽  
Active Power ◽  
Active Power Filters ◽  
Power Filters ◽  
The Cost

scholarly journals Development of a New KPI for the Economic Quantification of Six Big Losses and Its Implementation in a Cyber Physical System

2020 ◽  
Vol 10 (24) ◽  
pp. 9154
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Jaime Latapia
Keyword(s):  
Real Time ◽  
Physical System ◽  
Performance Indicator ◽  
Cost Model ◽  
Relevant Information ◽  
Cyber Physical System ◽  
Time Data ◽  
Real Time Data ◽  
Different Dimensions ◽  
The Cost

The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.

The Internet — A New Dimension in University—Industry Collaboration

1997 ◽  
Vol 11 (6) ◽  
pp. 349-354 ◽  
Author(s):  
C. Grant ◽  
T. Scott
Keyword(s):  
Communication Networks ◽  
High Speed ◽  
Advanced Technology ◽  
The Internet ◽  
Industry Collaboration ◽  
Working Together ◽  
Working Day ◽  
Technology And Communication ◽  
The Cost ◽  
University Industry

This paper examines how advanced technology and communication networks are revolutionizing the way university researchers, scientists and industrialists are communicating and working together. In collaborative projects, partners often come from different environments, backgrounds and possibly different regions and countries. Barriers such as geographical remoteness, lack of time in the working day, the cost of travel and differences in culture can seriously hinder regular communication and development work. However the Internet is fast becoming an indispensable international communications tool. It constitutes a resource that is invaluable to the knowledge and technology transfer process. It links over two-thirds of universities and is enabling industry and universities all over the world to develop in new and exciting ways – although there are both opportunities and threats associated with its explosive growth. This paper illustrates how the authors have gained advantage by exploiting current technology to form successful partnerships in this new high-speed ‘no boundaries’ information age.

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