scholarly journals Strategic Availability and Cost-Effective UAV-Based Flying Access Networks: S-Modular Game Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Sara Handouf ◽  
Essaid Sabir
Keyword(s):  
Service Providers ◽  
Geographical Area ◽  
Cost Effective ◽  
Access Networks ◽  
Telecommunication Service ◽  
Sleep Mode ◽  
Network Access ◽  
Response Dynamics ◽  
Battery Capacity ◽  
Joint Pricing

Nowadays, ubiquitous network access has become a reality, thanks to Unmanned Aerial Vehicles (UAVs) that have gained extreme popularity due to their flexible deployment and higher chance of line-of-sight links to ground users. Telecommunication service providers deploy UAVs to provide areal network access in remote rural areas, disaster-affected areas, or massive-attended events (sport venues, festivals, etc.), where full setup to provide temporary wireless coverage would be very expensive. Of course, a UAV is battery-powered with a limited energy budget for both mobility aspect and communication aspect. An efficient solution is to allow UAVs switching their radio modules to the sleep mode in order to extend the battery lifetime. This results in temporary unavailability of communication feature. Within such a situation, the ultimate deal for a UAV operator is to provide a cost-effective service with acceptable availability. This would allow meeting some target quality of service while having a good market share granting satisfactory benefits. In this article, we exhibit a new framework with many interesting insights into how to jointly define the availability and the access cost in UAV-empowered flying access networks to opportunistically cover a target geographical area. Yet, we construct a duopoly model to capture the adversarial behavior of service providers in terms of their pricing policies and their respective availability probabilities. Optimal periodic beaconing (advertising the presence of the UAV) is to be addressed, given the UAVs with limited battery capacity and their recharging constraints. A full analysis of the game, both in terms of equilibrium pricing and equilibrium availability, is derived. We show that the availability-pricing game exhibits some nice features as it is submodular with respect to the availability policy; whereas, it is supermodular with respect to the service fee. Furthermore, we implement a learning scheme using best response dynamics that allows operators to learn their joint pricing-availability strategies in a fast, accurate, and distributed fashion. Extensive simulations show convergence of the proposed scheme to the joint pricing-availability equilibrium and offer promising insights into how the game parameters should be chosen to efficiently control the duopoly game.

Performance Evaluation of Cloud Systems by Switching the Virtual Machines Power Mode Between the Sleep Mode and Active Mode

2020 ◽  
pp. 145-168
Author(s):  
Sudhansu Shekhar Patra ◽  
Veena Goswami ◽  
G. B. Mund
Keyword(s):  
Large Scale ◽  
Data Centers ◽  
Energy Savings ◽  
Virtual Machines ◽  
Service Providers ◽  
Cost Effective ◽  
Threshold Level ◽  
Sleep Mode ◽  
Proposed Model ◽  
Power Mode

Data centers are cost-effective infrastructures for storing large volumes of data and hosting large scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. In this chapter, we study energy savings of data centers by consolidation and switching off of those virtual machines which are not in use. According to this policy, c virtual machines continue serving the customer until the number of idle servers attains the threshold level d; then d idle servers take synchronous vacation simultaneously, otherwise these servers begin serving the customers. Numerical results are provided to demonstrate the applicability of the proposed model for the data center management in particular, to quantify theoretically the tradeoff between the conflicting aims of energy efficiency and Quality of Service (QoS) requirements specified by cloud tenants.

The Role of Economic Evaluation in Dissemination and Implementation Research

2017 ◽  
Author(s):  
Ramesh Raghavan
Keyword(s):  
Service Providers ◽  
Implementation Strategies ◽  
Cost Effective ◽  
Point Of View ◽  
Dissemination And Implementation ◽  
Economic Point ◽  
Open Questions ◽  
Public Health Organizations ◽  
Quality Health ◽  
Dissemination And Implementation Research

This chapter presents an overview of how D&I research can be evaluated from an economic point of view. Dissemination and implementation imposes costs upon knowledge purveyors, provider organizations, public health organizations, and payers (including governments). However, whether these added costs will result in improved service delivery and, perhaps more importantly, client outcomes and improvements in population health remain as open questions. If emerging studies reveal that defined implementation strategies are more cost effective than “usual” implementation, then policymakers and service providers will need to resource these added costs of implementation in order to assure the success and sustainability of high-quality health services over the long term.

scholarly journals Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 329
Author(s):  
Shen-Tsu Wang ◽  
Meng-Hua Li ◽  
Chun-Chi Lien
Keyword(s):  
Web Application ◽  
Success Factors ◽  
Service Providers ◽  
Cost Effective ◽  
Application Programming Interface ◽  
Fractional Factorial ◽  
Office Workers ◽  
Logistics Industry ◽  
Blockchain Technology ◽  
Multiple Attribute

Blockchain technology has been applied to logistics tracking, but it is not cost-effective. The development of smart lockers has solved the problem of repeated distribution to improve logistics efficiency, thereby becoming a solution with convenience and privacy compared to the in-store purchase and pickup alternative. This study prioritized the key factors of smart lockers using a simulated annealing–genetic algorithm by fractional factorial design (FFD-SAGA) and grey relational analysis, and investigated the main users of smart lockers by grey multiple attribute decision analysis. The results show that the Web application programming interface (API) concatenation and money flow provider are the key success factors of smart lockers, and office workers are the main users of the lockers. Hence, how to better meet the needs of office workers will be an issue of concern for service providers.

Cyberspace at the Grassroots: E-Governance and Citizen/Stakeholder Perceptions at the Local Level in Bangladesh

2021 ◽  
pp. 245513332110340
Author(s):  
Habib Zafarullah ◽  
Jannatul Ferdous
Keyword(s):  
Service Delivery ◽  
Service Providers ◽  
Social Issues ◽  
Local Level ◽  
Cost Effective ◽  
Developed Countries ◽  
Information And Communications Technology ◽  
Least Developed Countries ◽  
Governance System ◽  
Citizen Perceptions

Bangladesh has experimented with e-governance since the early 2000s and currently ranks among the top 10 least developed countries. The deployment of e-governance at the local level has provided benefits to the rural people, with local councils increasingly using information and communications technology (ICT) to expand community-based delivery systems and augment rural service delivery. One-stop cyber centres provide a range of services that are user-friendly, cost-effective and less time-consuming. This study focuses on five sub-districts to inquire about the range of services provided by the e-service centres there. It has recorded citizen perceptions and the level of their satisfaction and the observations of service providers about the e-service mechanism. It also identifies key challenges in service delivery. Citizen satisfaction was measured using 12 indicators, while the service provider observations focused on social issues, governance, resource and technical issues. The study found several issues requiring attention to consolidate the e-governance system in the country.

scholarly journals Traffic model for the interconnection of networks and operators using MPLS-TE

2017 ◽  
Vol 26 (44) ◽  
pp. 85 ◽  
Author(s):  
Carlos Mario Restrepo ◽  
Octavio José Salcedo-Parra ◽  
Juan Manuel Sánchez-Céspedes
Keyword(s):  
Traffic Engineering ◽  
Service Providers ◽  
Global Model ◽  
Traffic Model ◽  
Telecommunication Service ◽  
Model Output ◽  
New Model ◽  
Traffic Models ◽  
Wolfram Mathematica ◽  
Study Case

In this paper, the main features of MPLS Traffic Engineering are presented to illustrate how telecommunication service providers use them to create interconnections between each other in order to offer telecom services satisfying QoS commitments. Based on previous traffic models, a new model, which deals with traffic queue balancing for different Classes of Service, and for a provider using another provider´s network is presented. The model output shows that carrying another operator’s traffic may increase delays in an undesirable manner, forcing the carrier to increase the serving rate of LSRs until Utilization is below 60 %. In order to validate the model, a number of network scenarios are implemented in the Wolfram Mathematica 10.1 Study Version, based on study case configurations of an MPLS network. The total global model is useful for future implementation of test-beds of interconnected providers under an MPLS environment.

scholarly journals An Introduction to 5G Network Slicing Technology

Telecom IT ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 21-29
Author(s):  
B. Goldstein ◽  
V. Elagin ◽  
K. Kobzev ◽  
A. Grebenshchikova
Keyword(s):  
Service Providers ◽  
Smart Cities ◽  
Effective Means ◽  
Cost Effective ◽  
Network Slicing ◽  
Radio Access ◽  
5G Network ◽  
High Bandwidth ◽  
Shared Infrastructure ◽  
Levels Of Service

Communications Service Providers are looking to 5G technology as an enabler for new revenues, with network slicing providing a cost-effective means of supporting multiple services on shared infrastructure. Different radio access technologies, network architectures, and core functions can be brought together under software control to deliver appropriate Quality of Service “slices,” enabling new levels of service innovation, such as high bandwidth for video applications, low latency for automation, and mass connectivity for Smart Cities.

scholarly journals Privacy Preserving Healthcare Data using Cloud Computing

2019 ◽  
Vol 8 (10S) ◽  
pp. 118-124
Keyword(s):  
Cloud Computing ◽  
Rural Areas ◽  
Service Providers ◽  
Cloud Model ◽  
Healthcare Systems ◽  
Healthcare Sector ◽  
Public Healthcare ◽  
It Adoption ◽  
Network Access ◽  
Effective Manner

Cloud Computing is a new way of delivering computing resources and services. It is a model for on-demand network access to a shared pool of configurable computing resources like, networks, servers, storage, applications, and services that can be provided with minimal management effort or service provider interaction. The cloud model is composed of five essential characteristics, four service models, and four deployment models. Healthcare is faster growing way to adopt cloud computing. It is very important for every individual and essential for every country in the Globe. Electronic healthcare systems in the world are moving towards a more accessible, collaborative and more proactive way in reaching out to the public. The delivering of public health solutions can lead to increased efficiencies in health related data. Many nations across the globe have launched aggressive stimulus programs aimed at solving public healthcare problems in efficient way. This review article mainly focus on different ICT based infrastructure facilities available in various hospitals in India, abroad with cost effective manner using cloud computing technologies, services and this will be a best solutions for healthcare systems in rural areas. In this paper analyzed and presented about various cloud service providers, investment in healthcare, IT adoption in Indian Healthcare sector, Major benefits of Cloud-based Patient Management System [PMS], about SADA systems, Top ten cloud storage companies in healthcare and Pros and Cons of EHR systems, comparison of Indian healthcare systems with US system, and various Cloud Simulators.

scholarly journals Lifetime and Energy Efficiency Improvement Techniques for Hierarchical Networks

2019 ◽  
Vol 9 (1S6) ◽  
pp. 62-72
Keyword(s):  
Cost Effective ◽  
Residual Energy ◽  
Efficiency Improvement ◽  
Hierarchical Networks ◽  
Energy Efficiency Improvement ◽  
Battery Capacity ◽  
Time Scheduling ◽  
Network Operation ◽  
Simulation Results ◽  
Hole Detection

The detection points are the detection points in the space of network. The properties of detection points include cost effective materials and longer battery capacity. WSN can span variety of applications like sensing of data related to environment entities, detection of enemy vehicles. Lifetime ratio defines the efficiency of the WSN network operation. There are multiple techniques which can help in improvement of Network Lifetime (NL) spanning from transmission nature, data connections, formation of System and time scheduling. This paper provides the analysis of how energy consumption happens and its effect on lifetime ratio. LEACH and CHEF algorithms responsible for hierarchical kind of routing are discussed in detail with simulation results. The parameters used for comparison includes delay, hops, consumption of energy. Non-Hole detection points, Hole detection points, Non-Hole to Hole Ratio, residual energy, routing overhead and throughput.

scholarly journals Analysis of Mobile Service Providers Performance Using Naive Bayes Data Mining Technique

2018 ◽  
Vol 8 (6) ◽  
pp. 5153
Author(s):  
M. A. Burhanuddin ◽  
Ronizam Ismail ◽  
Nurul Izzaimah ◽  
Ali Abdul-Jabbar Mohammed ◽  
Norzaimah Zainol
Keyword(s):  
Data Mining ◽  
Data Science ◽  
Service Providers ◽  
Telecommunication Service ◽  
Mobile Service ◽  
Business Growth ◽  
Data Mining Technique ◽  
R Language ◽  
Mining Technique ◽  
Industry Standard

Recently, the mobile service providers have been growing rapidly in Malaysia. In this paper, we propose analytical method to find best telecommunication provider by visualizing their performance among telecommunication service providers in Malaysia, i.e. TM Berhad, Celcom, Maxis, U-Mobile, etc. This paperuses data mining technique to evaluate the performanceof telecommunication service providers using their customers feedback from Twitter Inc. It demonstrates on how the system could process and then interpret the big data into a simple graph or visualization format. In addition, build a computerized tool and recommend data analytic model based on the collected result. From prepping the data for pre-processing until conducting analysis, this project is focusing on the process of data science itself where Cross Industry Standard Process for Data Mining (CRISP-DM) methodology will be used as a reference. The analysis was developed by using R language and R Studio packages. From the result, it shows that Telco 4 is the best as it received highest positive scores from the tweet data. In contrast, Telco 3 should improve their performance as having less positive feedback from their customers via tweet data. This project bring insights of how the telecommunication industries can analyze tweet data from their customers. Malaysia telecommunication industry will get the benefit by improving their customer satisfaction and business growth. Besides, it will give the awareness to the telecommunication user of updated review from other users.

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