scholarly journals The Study of Mobile Network Protocols with Virtual Machines

2011 ◽  
Author(s):  
D. Rehunathan ◽  
S. Bhatti ◽  
V. Perrier ◽  
P. Hiu
Keyword(s):  
Virtual Machines ◽  
Mobile Network ◽  
Network Protocols

scholarly journals Online Supervisory Control and Resource Management for Energy Harvesting BS Sites Empowered with Computation Capabilities

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Thembelihle Dlamini ◽  
Ángel Fernández Gambín ◽  
Daniele Munaretto ◽  
Michele Rossi
Keyword(s):  
Energy Harvesting ◽  
Energy Savings ◽  
Virtual Machines ◽  
Mobile Network ◽  
Base Stations ◽  
Traffic Load ◽  
Short Term ◽  
Energy Aware ◽  
Multi Access

The convergence of communication and computing has led to the emergence of multi-access edge computing (MEC), where computing resources (supported by virtual machines (VMs)) are distributed at the edge of the mobile network (MN), i.e., in base stations (BSs), with the aim of ensuring reliable and ultra-low latency services. Moreover, BSs equipped with energy harvesting (EH) systems can decrease the amount of energy drained from the power grid resulting into energetically self-sufficient MNs. The combination of these paradigms is considered here. Specifically, we propose an online optimization algorithm, called Energy Aware and Adaptive Management (ENAAM), based on foresighted control policies exploiting (short-term) traffic load and harvested energy forecasts, where BSs and VMs are dynamically switched on/off towards energy savings and Quality of Service (QoS) provisioning. Our numerical results reveal that ENAAM achieves energy savings with respect to the case where no energy management is applied, ranging from 57% to 69%. Moreover, the extension of ENAAM within a cluster of BSs provides a further gain ranging from 9% to 16% in energy savings with respect to the optimization performed in isolation for each BS.

Mobile Network Protocols of GSM and GPRS

2011 ◽  
pp. 108-133
Author(s):  
Gusztáv Adamis
Keyword(s):  
Mobility Management ◽  
Mobile Network ◽  
Network Protocols ◽  
Core Network ◽  
Location Update ◽  
Call Control ◽  
The Core ◽  
Short Messages ◽  
The Way

The goal of this chapter is to give an overview about the architecture of GSM and GPRS networks, and introduce to the reader the protocols used for mobility management and call control at the core network. To make it easier to understand the way in which the protocols work, we give many examples to help the readers in his studies. We show how the location update takes place, how the calls are originated and terminated, how the short messages are handled, et cetera.

scholarly journals C Ran Towards 5g Networks in Virtual Environment

2018 ◽  
Vol 7 (2.7) ◽  
pp. 441
Author(s):  
K R.R Mohan ◽  
G Vennela ◽  
M Sai Kumar ◽  
Ch Satya Srinivas ◽  
A Harsha
Keyword(s):  
Mobile Networks ◽  
Network Architecture ◽  
Virtual Machines ◽  
Access Network ◽  
Mobile Network ◽  
5G Networks ◽  
Cloud Radio Access Network ◽  
Radio Access ◽  
5G Systems ◽  
Current Systems

Cloud radio access network is an adaptable mobile network architecture with exponential development of portable traffic and the prerequisites of up and coming administrations are further pushing the cut-off points on current versatile systems; subsequently, overall research interests have moved toward 5G world that view which can address many challenges that mobile operators confront while attempting to support ever-growing end-user’s needs towards 5th generation of mobile networks. Be that as it may, 5G systems are most certainly not to be sent until 2020; subsequently, there is a requirement for answers for address expanding requests of current systems, without acquiring colossal expenses on administrators. This paper proposes on-request organization of portable little cells, utilizing either client versatile handsets or remote radio units and non-aware power utilization of different hosts and virtual machines.  

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

Adaptive Video Streaming Using Bandwidth Estimation for 3.5G Mobile Network

2009 ◽  
Vol E92-B (12) ◽  
pp. 3893-3902
Author(s):  
Hyeong-Min NAM ◽  
Chun-Su PARK ◽  
Seung-Won JUNG ◽  
Sung-Jea KO
Keyword(s):  
Video Streaming ◽  
Mobile Network ◽  
Bandwidth Estimation ◽  
Adaptive Video Streaming ◽  
Adaptive Video

Study of Ad hoc Networks with Reference to MANET, VANET, FANET

2017 ◽  
Vol 7 (7) ◽  
pp. 390 ◽  
Author(s):  
Bodhy Krishna .S
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc Network ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Network ◽  
Wireless Ad Hoc Network ◽  
Mobile Ad Hoc ◽  
Autonomous Nodes ◽  
Hoc Networks ◽  
Network Administration

A wireless ad hoc network is a decentralized type of wireless network. It is a type of temporary computer-to-computer connection. It is a spontaneous network which includes mobile ad-hoc networks (MANET), vehicular ad-hoc networks (VANET) and Flying ad-hoc networks (FANET). A MANET is a network that has many free or autonomous nodes often composed of mobile devices that can operate without strict top-down network administration [1]. A VANET is a sub form of MANET. It is a technology that uses vehicles as nodes in a network to create a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. This paper discusses the characteristics of these three ad-hoc networks.

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