scholarly journals Exploiting Virtual Machine Commonality for Improved Resource Allocation in Edge Networks

2020 ◽  
Vol 9 (4) ◽  
pp. 58
Author(s):  
Hadeel Abdah ◽  
João Paulo Barraca ◽  
Rui L. Aguiar
Keyword(s):  
Mathematical Model ◽  
Resource Allocation ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Service Providers ◽  
Mobile Users ◽  
5G Systems ◽  
Multi Access ◽  
Edge Networks

5G systems are putting increasing pressure on Telecom operators to enhance users’ experience, leading to the development of more techniques with the aim of improving service quality. However, it is essential to take into consideration not only users’ demands but also service providers’ interests. In this work, we explore policies that satisfy both views. We first formulate a mathematical model to compute End-to-End (E2E) delay experienced by mobile users in Multi-access Edge Computing (MEC) environments. Then, dynamic Virtual Machine (VM) allocation policies are presented, with the objective of satisfying mobile users Quality of Service (QoS) requirements, while optimally using the cloud resources by exploiting VM resource reuse.Thus, maximizing the service providers’ profit should be ensured while providing the service required by users. We further demonstrate the benefits of these policies in comparison with previous works.

Quality of Experience (QoE) for Wireless Video Over Critical Communication Systems

2017 ◽  
pp. 132-167
Author(s):  
Emad Danish ◽  
Mazin I. Alshamrani
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Energy Consumption ◽  
Communication Systems ◽  
Quality Of Experience ◽  
Service Providers ◽  
Wireless Video ◽  
User Centric ◽  
Near Future

Video streaming is expected to acquire a massive share of the global internet traffic in the near future. Meanwhile, it is expected that most of the global traffic will be carried over wireless networks. This trend translates into considerable challenges for Service Providers (SP) in terms of maintaining consumers' Quality of Experience (QoE), energy consumption, utilisation of wireless resources, and profitability. However, the majority of Radio Resource Allocation (RRA) algorithms only consider enhancing Quality of Service (QoS) and network parameters. Since this approach may end up with unsatisfied customers in the future, it is essential to develop innovative RRA algorithms that adopt a user-centric approach based on users' QoE. This chapter focus on wireless video over Critical communication systems that are inspired by QoE perceived by end users. This chapter presents a background to introduce the reader to this area, followed by a review of the related up-to-date literature.

Open Innovation in the Shared Mobility Market

2021 ◽  
Vol 7 (4) ◽  
pp. 212
Author(s):  
Katarzyna Turoń ◽  
Andrzej Kubik
Keyword(s):  
Quality Of Service ◽  
Open Innovation ◽  
Service Providers ◽  
Mutual Benefit ◽  
It Service ◽  
Mobility Service ◽  
Factors Influencing ◽  
Shared Mobility ◽  
Practical Recommendations

The market for shared mobility services is growing very quickly. New types of vehicles have been introduced, and the offer of available services and functionalities has expanded, the purpose of which is to improve the quality of service. Despite all the improvements, it is still not possible to speak of achieving full availability of systems that meet the needs of users. This is due to the reluctant involvement of operators of shared mobility systems in joining Mobility as a Service platforms based on the idea of open innovation. The aim of the article is to analyze the factors influencing the limitations in the development of open innovations in the form of Mobility as a Service (MaaS) services. The authors focus on identifying the challenges and concerns faced by shared mobility service providers. The article supports the development of the concept of open innovation in shared mobility services. It also contains practical recommendations for the development of MaaS systems. The results of the developed research can be used by operators of shared mobility services, transport authorities, or IT service providers providing MaaS services to strengthen cooperation and integration using the language of mutual benefit.

scholarly journals Service Oriented Virtual Machine for Maximising Quality of Service in Wireless Networks

2021 ◽  
Vol 1964 (4) ◽  
pp. 042086
Author(s):  
K Radhika ◽  
Y Murali Mohan Babu ◽  
J K Periasamy ◽  
T R Saravanan
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Service Oriented

scholarly journals A Load Balancing Per Connection Classifier Dengan Pengukuran Quality of Service Pada Jaringan LAN Lingkup Universitas

2020 ◽  
Vol 2 (2) ◽  
pp. 40-53
Author(s):  
Aulia Desy Aulia Nur Utomo
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
Packet Loss ◽  
Service Providers ◽  
Network Configuration ◽  
Network Connection ◽  
Before And After ◽  
Internet Connections ◽  
Use Of Internet

Abstract In the use of internet networks that are general in nature need to implement an appropriate network configuration to maximize the use of internet connections provided by service providers. This is important for the optimal use of internet services and in accordance with utilities that are basically general and shared can be achieved. Per Connection Classifier is a load balancing method for distributing traffic loads to more than one network connection point in a balanced way, so that traffic can run optimally. This research focuses on network configuration methods to maximize internet usage for all users. Quality of Service is used to see the performance of network traffic which is indicated by the value of the parameter delay, throughput, and packet loss. Based on the results of testing and research that have been carried out before and after using load balancing per connection clasifier, the delay value is decreased from 180.26 ms to 148.36 ms and throughput increased from 1.76% to 2.03%, then packet loss decreased from 25.37% to 18.59% according to the TIPHON standard. Keywords: Quality of Service, Per Connection Classification, load balancing, delay, throughput, packet loss

scholarly journals ANALISIS DAN PERBANDINGAN QUALITY OF SERVICE VIDEO CONFERENCE JITSI DAN BIGBLUEBUTTON PADA VIRTUAL PRIVATE SERVER

2021 ◽  
Vol 4 (2) ◽  
pp. 192-203
Author(s):  
Ida Bagus Ary Indra Iswara ◽  
I Putu Pedro Kastika Yasa
Keyword(s):  
Quality Of Service ◽  
Open Source ◽  
Virtual Machine ◽  
Packet Loss ◽  
Video Conferencing ◽  
Video Conference ◽  
Machine Analysis ◽  
Test Scenarios

The use of video conferencing technology is increasing due to the COVID-19 pandemic. Bigbluebutton and jitsi are examples of open source video conferencing platforms that can be installed on their own servers. The server is created using a cloud-based virtual machine. Analysis of quality of service which includes delay, packet loss, throughput, and jitter is needed to determine the quality of service and the comparison of the two platforms. Observations were also made on the use of CPU, memory / RAM, and disk usage for each server. There are 3 test scenarios carried out. Each scenario is carried out on each existing VM specification. From this test, it is known that in the delay parameter, the highest bigbluebutton is obtained, which is 35,35 ms. And then the highest jitsi delay is 17,66 ms. In packet loss parameters, jitsi obtained the highest yield, namely 0,29%, while for bigbluebutton only 0,16% of packet loss was the highest. Throughput, bigbluebutton and jitsi all got very bad results. However, bigbluebutton obtained better results, namely, the highest throughput was 5.6%. While Jitsi obtained the highest throughput, namely 2,8%. Whereas for the jitter parameter, jitsi obtained 0,00 ms results on all tests in each VM. Meanwhile, bigbluebutton, get 0,1 ms on test 3 on VM 1

scholarly journals NSIS-Based Quality of Service and Resource Allocation in Ethernet Networks

2006 ◽  
pp. 132-142
Author(s):  
M. Carmo ◽  
B. Carvalho ◽  
J. Sá Silva ◽  
E. Monteiro ◽  
P. Simões ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Ethernet Networks
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