DEVELOPMENT OF A MATHEMATICAL MODEL FOR THE FUNCTIONING OF A MULTI-NODE DECENTRALIZED SYSTEM FOR MANAGING DATA FLOWS OF MOBILE DEVICES

2021 ◽  
pp. 14-18
Author(s):  
Т.С. Рожкова ◽  
А.А. Невров ◽  
И.И. Ветров
Keyword(s):  
Mathematical Model ◽  
Mobile Devices ◽  
Network Resources ◽  
Decentralized System ◽  
Data Flows

В статье рассматривается модель распределения ресурсов сети, представленной множеством разнородных мобильных устройств, разнесенных в пространстве, обладающих возможностью динамического выхода из системы и перемещения в ней. Описана математическая модель и приведены результаты ее применения. The model of the distribution of network resources is discusses in the article. The network is represented by a multitude of heterogeneous mobile devices, spaced apart, with the ability to dynamically leaving the system and moving in it. A mathematical model is described and the results of its application are presented.

DEVELOPMENT OF A MATHEMATICAL MODEL FOR THE FUNCTIONING OF A MULTI-NODE DECENTRALIZED SYSTEM FOR MANAGING DATA FLOWS OF MOBILE DEVICES

2021 ◽  
pp. 69-72
Author(s):  
М.С. Рыкшин
Keyword(s):  
Mathematical Model ◽  
Real Time ◽  
Mobile Devices ◽  
Monitoring System ◽  
Decentralized System ◽  
Research Results ◽  
Information Monitoring ◽  
Data Flows ◽  
Load Conditions

В статье рассматривается модель распределенной автоматизированной системы информационного мониторинга в режиме реального времени в условиях нестационарной нагрузки. Приведена структура, описана математическая модель, представлен алгоритм и некоторые результаты исследований. The article discusses a model of a distributed automated information monitoring system in real time under non-stationary load conditions. The structure is given, a mathematical model is described, an algorithm and some research results are presented.

scholarly journals PROPOSING A MULTI-CRITERIA PATH OPTIMIZATION METHOD IN ORDER TO PROVIDE A UBIQUITOUS PEDESTRIAN WAYFINDING SERVICE

2015 ◽  
Vol XL-1-W5 ◽  
pp. 639-644 ◽  
Author(s):  
M. Sahelgozin ◽  
A. Sadeghi-Niaraki ◽  
S. Dareshiri
Keyword(s):  
Mathematical Model ◽  
Mobile Devices ◽  
Environmental Conditions ◽  
Context Awareness ◽  
Optimization Method ◽  
Path Optimization ◽  
Navigation Systems ◽  
Different Types ◽  
Novel Applications

A myriad of novel applications have emerged nowadays for different types of navigation systems. One of their most frequent applications is <i>Wayfinding</i>. Since there are significant differences between the nature of the pedestrian wayfinding problems and of those of the vehicles, navigation services which are designed for vehicles are not appropriate for pedestrian wayfinding purposes. In addition, diversity in environmental conditions of the users and in their preferences affects the process of pedestrian wayfinding with mobile devices. Therefore, a method is necessary that performs an intelligent pedestrian routing with regard to this diversity. This intelligence can be achieved by the help of a <i>Ubiquitous</i> service that is adapted to the <i>Contexts</i>. Such a service possesses both the <i>Context-Awareness</i> and the <i>User-Awareness</i> capabilities. These capabilities are the main features of the ubiquitous services that make them flexible in response to any user in any situation. In this paper, it is attempted to propose a multi-criteria path optimization method that provides a Ubiquitous Pedestrian Way Finding Service (UPWFS). The proposed method considers four criteria that are summarized in <i>Length, Safety, Difficulty</i> and <i>Attraction</i> of the path. A conceptual framework is proposed to show the influencing factors that have effects on the criteria. Then, a mathematical model is developed on which the proposed path optimization method is based. Finally, data of a local district in Tehran is chosen as the case study in order to evaluate performance of the proposed method in real situations. Results of the study shows that the proposed method was successful to understand effects of the contexts in the wayfinding procedure. This demonstrates efficiency of the proposed method in providing a ubiquitous pedestrian wayfinding service.

Cloud-Based Service Delivery Architecture with Service-Populating and Mobility-Aware Mechanisms

2014 ◽  
pp. 183-199
Author(s):  
Fragkiskos Sardis ◽  
Glenford Mapp ◽  
Jonathan Loo
Keyword(s):  
Service Delivery ◽  
Mobile Devices ◽  
Cloud Services ◽  
Network Resources ◽  
Internet Backbone ◽  
High Bandwidth ◽  
Processing And Storage ◽  
Cloud Technologies ◽  
And Storage

Advances in Mobile and Cloud technologies have redefined the way we perceive and use computers. Mobile devices now rely on Cloud technology for storage and applications. Furthermore, recent advances in network technology ensure that mobile devices in the future will have high-bandwidth connectivity at all times. This drives the incentive of doing all the processing and storage in the Cloud and using mobile devices to access the services. In this chapter, the authors argue that always-on connectivity along with increased demand of Cloud services will contest the Internet backbone and create problems in the management of Cloud resources. Client mobility is also a factor that should be taken into account when providing Cloud services to mobile devices. The authors therefore propose a new service delivery architecture that takes into account client mobility as well as the distance between clients and services in order to manage Cloud and network resources more efficiently and provide a better Quality of Experience for the user.

scholarly journals Modelling VM Migration in a Fog Computing Environment

2019 ◽  
Vol 25 (5) ◽  
pp. 75-81 ◽  
Author(s):  
Pedro Juan Roig ◽  
Salvador Alcaraz ◽  
Katja Gilly ◽  
Carlos Juiz
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Fog Computing ◽  
Limited Resources ◽  
Computing Environment ◽  
Migration Process ◽  
Network Resources ◽  
Vm Migration ◽  
Algorithmic Model ◽  
Access Data

Fog Computing is created to efficiently store and access data without the limitations challenging Cloud Computing deployments, such as network latency or bandwidth constraints. This is achieved by performing most of the processing on servers located as close as possible to where data is being collected. When mobile devices are equipped with limited resources and small capabilities, it would be convenient to make their associated computing and network resources follow them as much as possible. In this paper, migration process is studied and an algorithmic model is designed, selecting a generic Fat Tree architecture as the underlying topology, which may be useful to get a list of all devices being traversed through each of the redundant paths available.

Mobile Device Selection in Higher Education

2011 ◽  
pp. 1213-1225 ◽  
Author(s):  
C. Brad Crisp ◽  
Michael L. Williams
Keyword(s):  
Mobile Devices ◽  
Computing Time ◽  
Future Research ◽  
Network Resources ◽  
Ipod Touch ◽  
Christian University ◽  
Institutions Of Higher Learning ◽  
The Social ◽  
Device Selection ◽  
Incoming Freshmen

Mobile devices are rapidly becoming the most common interface for accessing network resources (Hall 2008). By 2015 the average 18-year old will spend the majority of their computing time on mobile devices (Basso 2009). These trends directly affect institutions of higher learning. Many universities are offering learning initiatives and m-services designed to distribute content and services to mobile devices. In this chapter, we report findings from an exploratory, longitudinal study at Abilene Christian University, where incoming freshmen received their choice of an Apple iPhone or iPod touch. Our findings indicate that users’ device selections were affected by their perceptions of the costs of the devices, the devices’ relative characteristics, and the social influence of parents. We also found that users’ attitude, satisfaction, and confidence about their device selection varied across devices, with iPhone users having more favorable perceptions. The chapter concludes with recommendations for mobile learning initiatives and directions for future research.

scholarly journals Offloading Positioning onto Network Edge

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
José Santa ◽  
Pedro J. Fernández ◽  
Ramon Sanchez-Iborra ◽  
Jordi Ortiz ◽  
Antonio F. Skarmeta
Keyword(s):  
Mobile Devices ◽  
Hybrid Approach ◽  
Access Network ◽  
Indoor Navigation ◽  
Network Resources ◽  
Position Information ◽  
Positioning Systems ◽  
Door Opening ◽  
Navigation Data ◽  
Smart Infrastructure

While satellite or cellular positioning implies dedicated hardware or network infrastructure functions, indoor navigation or novel IoT positioning techniques include flexible storage and computation requirements that can be fulfilled by both end-devices or cloud back-ends. Hybrid positioning systems support the integration of several algorithms and technologies; however, the common trend of delegating position calculation and storage of local geoinformation to mobile devices or centralized servers causes performance degradation in terms of delay, battery usage, and waste of network resources. The strategy followed in this work is offloading this computation effort onto the network edge, following a Mobile Edge Computing (MEC) approach. MEC nodes in the access network of the mobile device are in charge of receiving navigation data coming from both the smart infrastructure and mobile devices, in order to compute the final position following a hybrid approach. With the aim of supporting mobility and the access to multiple networks, an Information Centric Networking (ICN) solution is used to access generic position information resources. The presented system currently supports WiFi, Bluetooth LE, GPS, cellular and NFC technologies, involving both indoor and outdoor positioning, using fingerprinting and proximity for indoor navigation, and the integration of smart infrastructure data sources such as the door opening system within real smart campus deployment. Evaluations carried out reveal latency improvements of 50%, as compared with a regular configuration where position fixes are computed by mobile devices; at the same time the MEC solution offers extra flexibility features to manage positioning databases and algorithms and move extensive computation from constrained devices to the edge.

scholarly journals Mathematical model of fish schooling behaviour in a set-net

2004 ◽  
Vol 61 (7) ◽  
pp. 1214-1223 ◽  
Author(s):  
Tsutomu Takagi ◽  
Yutaka Moritomi ◽  
Jyun Iwata ◽  
Hiroshi Nakamine ◽  
Nobuo Sannomiya
Keyword(s):  
Mathematical Model ◽  
Information Exchange ◽  
Decentralized System ◽  
Fish School ◽  
Simple Set ◽  
Schooling Behaviour ◽  
Observed Behaviour ◽  
Fish Schooling ◽  
Enclosed Space ◽  
The Mathematical Model

Abstract We investigated the validity of a mathematical model to describe fish schooling behaviour towards a simple set-net model. We apply a model considered to be “an autonomous decentralized system” and based on Newton's equation of motion. It includes the parameter M, which indicates “the quantity of information exchange” (i.e. the number of neighbours that affect an individual's behaviour) and strongly affects fish school size and schooling behaviour in an enclosed space. To evaluate the model, simulations of fish schooling behaviour in a set-net model consisting of a leading fence and a box-shaped trap similar to a primitive type of set-net were compared with experimentally observed behaviour of bitterling and mackerel, with a focus on M. A small M induces improper behaviour because there is low cooperation among fish in a school. On the other hand, if M is too large, improper simulation results of individuals in deadlock states in the trap are obtained as a result of excessive information exchange among the fish. The results suggest that the mathematical model can describe the behaviour in a set-net model adequately when M is greater than 2 and less than 10.

Application of Wireless LAN Localization Technology

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Fan Lili
Keyword(s):  
Mobile Devices ◽  
Wireless Network ◽  
Wireless Lan ◽  
Network Technology ◽  
Way Of Life ◽  
Network Resources ◽  
Continuous Development ◽  
Amusement Park ◽  
Teachers And Students ◽  
Network Equipment

This article mainly describes the formation of various types of wireless LAN, as the current wireless LAN (Wireless LAN)technology can be very convenient to wireless network equipment and mobile devices, people can access the network resources at anytime,anywhere by communication Mobile, personalized and multimedia applications. In the continuous development of network technology,wireless LAN is also changing our way of life, we can access to internet in amusement park, hotel, airport station and other areas. And inschool, teachers and students in the dormitory can have communication through the wireless LAN layout. Wireless LAN also has manyadvantages and disadvantages, we need to understand the discovery of applications, this is the only way we can have a better life, learning,and work.

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