Penggunaan Virtual Machine untuk Mengoptimalkan Server pada Cloud Gaming dengan GamingAnywhere

2020 ◽  
Vol 4 (6) ◽  
pp. 1028-1035
Author(s):  
Tiko Hadi Prabowo ◽  
Sofia Naning Hertiana ◽  
Sussi Sussi
Keyword(s):  
Virtual Machine ◽  
Packet Loss ◽  
Virtual Machines ◽  
Network Technology ◽  
Memory Usage ◽  
Measurement Results ◽  
Cpu Usage ◽  
Minimum Bandwidth ◽  
Game Industry

The development of the game industry is increasingly advanced until the emergence of cloud gaming network technology. Cloud gaming allows low-spec clients to play high-spec games. An open-source cloud gaming platform is GamingAnywhere. In this study, we will implement a cloud gaming server using GamingAnywhere and combine it with a virtual machine. The virtual machines that will be used are VirtualBox and VMware. This research is aimed at providing information about resource usage on servers and clients as well as Quality of Service (QoS) and Frames Per Second (FPS) from GamingAnywhere running on virtual machines. From the results of server measurements it only takes 12-21% CPU usage, 5-7% GPU usage, and 75-77% memory usage for VirtualBox and 17-26% CPU usage, 26-35% GPU usage, and 64-65% memory usage for VMware. From the FPS measurement results obtained on the client, it has an average of more than 59 fps for the three test games when GamingAnywhere is running on VirtualBox, VMware, and without using a virtual machine. From the measurement results, to get optimal QoS in accessing games with GamingAnywhere, a minimum bandwidth of 5 Mbps is needed and the distance between the client and the router is a maximum of 7 meters. If the bandwidth is less than 5 Mbps, the system experiences a delay of ± 0.003 seconds and the packet loss is more than 10%.

scholarly journals Optimization of Universitas Riau Data Network Management Using Software Defined Network (SDN)

2019 ◽  
Vol 2 (3) ◽  
pp. 10-14
Author(s):  
Ery Safrianti ◽  
Linna Oktaviana Sari ◽  
Rian Arighi Mahan
Keyword(s):  
Quality Of Service ◽  
Network Management ◽  
Packet Loss ◽  
Computer Network ◽  
Network Technology ◽  
Software Defined Network ◽  
Measurement Results ◽  
Simulation Results ◽  
The University

Computer networks are one of the main parts in the telecommunications system. To support reliable network technology, a centralized network is needed so that network traffic can be managed more easily. Software-Defined Network (SDN) technology is a centralized network that provides a separation between control planes and data planes in different systems. This study discusses the optimization of network management at the University of Riau (UNRI) using SDN. Optimization is done by designing a UNRI computer network in the form of SDN then simulated using the Mininet. Quality of Service (QoS) analysis is performed from the measurement results using Wireshark. The network simulation results give a delay value of 0.506 ms, 0% packet loss, the throughput of 590,392 Mb / s and jitter of 0.093 ms. The SDN network provides better delay and jitter performance compared to conventional UNRI networks with a delay value of 13,874 ms, 0% packet loss, 635.1 Mb/s throughput and 2.6 ms jitter. UNRI's SDN network design is worth considering because it has better QoS values, delay, and jitter below ITU standards and conventional networks.

scholarly journals Design of PBX IP VoIP Server in State Polytechnic of Malang Network Based on Single Board Circuit

2017 ◽  
Vol 4 (1) ◽  
pp. 15-22
Author(s):  
Arinta Fadlil Fajar Wicaksono
Keyword(s):  
Operating System ◽  
Packet Loss ◽  
Communication System ◽  
Communication Quality ◽  
Communication Services ◽  
Cpu Usage ◽  
Bandwidth Capacity

Building VoIP technology requires a server called Elastix. Singleboard circuit device can be an alternative to cover the shortcomings of a PC as a VoIP server, to support practicum activities. The specifications for the quad-core processor and 1GB LPDDR2 memory are expected to be able to provide access to the latest version of the operating system to be able to produce better communication quality as I PPBX. This study designed a VoIP IP PBX server communication system at the Polinema Telecommunication Laboratory using the Elastix Linux operating system, to determine the quality of VoIP communication services and the performance of a single board circuit as an IPPBX server. The results of the research are 64 kbps bandwidth capacity capable of serving a customer capacity of 181 subscribers through 8 number of channels. QoS measurement obtained a delay value of 4.87091 ms; jitter of 18,265ms; packet loss of 0.71%; throughput of 0.2747 Mbit / sec. The singleboard circuit server is capable of serving VoIP communications for as many as 20 users and 10 calls simultaneously on the same server with a cpu usage percentage of 17.7% and 17.2% cpu usage, when communicating with other servers.

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 A Decentralized Virtual Machine Migration Approach of Data Centers for Cloud Computing

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Xiaoying Wang ◽  
Xiaojing Liu ◽  
Lihua Fan ◽  
Xuhan Jia
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Large Scale ◽  
Data Centers ◽  
Virtual Machines ◽  
Quality Of Services ◽  
Virtual Machine Migration ◽  
Power Models ◽  
Key Steps

As cloud computing offers services to lots of users worldwide, pervasive applications from customers are hosted by large-scale data centers. Upon such platforms, virtualization technology is employed to multiplex the underlying physical resources. Since the incoming loads of different application vary significantly, it is important and critical to manage the placement and resource allocation schemes of the virtual machines (VMs) in order to guarantee the quality of services. In this paper, we propose a decentralized virtual machine migration approach inside the data centers for cloud computing environments. The system models and power models are defined and described first. Then, we present the key steps of the decentralized mechanism, including the establishment of load vectors, load information collection, VM selection, and destination determination. A two-threshold decentralized migration algorithm is implemented to further save the energy consumption as well as keeping the quality of services. By examining the effect of our approach by performance evaluation experiments, the thresholds and other factors are analyzed and discussed. The results illustrate that the proposed approach can efficiently balance the loads across different physical nodes and also can lead to less power consumption of the entire system holistically.

scholarly journals Priority-Based Virtual Machine Selection Algorithm in Cloud Computing

2019 ◽  
Vol 8 (3) ◽  
pp. 1457-1462
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Service Provider

Cloud computing technology has gained the attention of researchers in recent years. Almost every application is using cloud computing in one way or another. Virtualization allows running many virtual machines on a single physical computer by sharing its resources. Users can store their data on datacenter and run their applications from anywhere using the internet and pay as per service level agreement documents accordingly. It leads to an increase in demand for cloud services and may decrease the quality of service. This paper presents a priority-based selection of virtual machines by cloud service provider. The virtual machines in the cloud datacenter are configured as Amazon EC2 and algorithm is simulated in cloud-sim simulator. The results justify that proposed priority-based virtual machine algorithm shortens the makespan, by 11.43 % and 5.81 %, average waiting time by 28.80 % and 24.50%, and cost of using the virtual machine by 21.24% and 11.54% as compared to FCFS and ACO respectively, hence improving quality of service.

Analisis Quality Of Service (QoS) pada Jaringan VPN dan MPLS VPN Menggunakan GNS3

2019 ◽  
Vol 5 (2) ◽  
pp. 98-107
Author(s):  
Mardianto Mardianto
Keyword(s):  
Packet Loss ◽  
Computer Network ◽  
Internet Usage ◽  
Measurement Results ◽  
Mpls Vpn ◽  
Medium Quality ◽  
Routing Technology ◽  
Quality Value ◽  
Global Computer

The ever-increasing internet is an ISP challenge for the future of the expected global computer network traffic and QoS needs. To maintain competitive ISPs in Indonesia with the development of internet usage, the demand for QoS must be increased. MPLS VPN networks combine layer 2 switching technology with layer 3 routing technology. MPLS VPN networks have emerged as technologies that meet VPN requirements such as private IP, and the ability to support overlapping addresses in resolving speed and QoS problems. The method used is experimental research. From the measurement results obtained by VPN and MPLS VPN network delay has a very good delay value. For throughput on VPN networks have medium quality and MPLS VPN networks have good quality. And for the packet loss value for both types of networks is 0%. This shows that MPLS VPN network throughput has better QoS while for delay and packet loss on VPN and MPLS VPN networks have the same quality value.

scholarly journals Bases for the construction of a QoS model for a video-calls service in a virtualized IMS network

2017 ◽  
Vol 15 (42) ◽  
pp. 31-46
Author(s):  
María Camila Lara Paz ◽  
Heyman Andres Coral Sarria ◽  
Eduardo Rojas Pineda
Keyword(s):  
Packet Loss ◽  
Virtual Machines ◽  
Undergraduate Research ◽  
Quality Parameters ◽  
Scaling Technique ◽  
The Core ◽  
Physical Resources ◽  
Quality Video ◽  
Undergraduate Research Project

Package-based services are affected by different network parameters and conditions that can deteriorate the quality of the transmitted services, especially those that are provided in real time. In this paper, result of an undergraduate research project, the bases for the construction of a QoS model are defined for a video call on an IMS network, specifying the most adequate parameters to estimate its QoS, the infrastructure used, and the tests developed. The results indicate the possibility of improving the QoS by applying the horizontal scaling technique over the IMS Core of the network since, in the vertical scalability, no major improvements were observed when increasing the physical resources of the virtual machines where the Core IMS was installed. Also, the bandwidth that complies the conditions of the quality parameters such as packet loss, delay, and jitter, to provide a good quality video call service is 640 kbps.

An Software Defined Network Based Secured Model for Malicious Virtual Machine Detection in Cloud Environment

2020 ◽  
Vol 17 (1) ◽  
pp. 526-530
Author(s):  
H. M. Anitha ◽  
P. Jayarekha
Keyword(s):  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Service Level ◽  
Emerging Technology ◽  
Cloud Provider ◽  
Software Defined Network ◽  
Cloud Environment ◽  
Network Controller

Cloud computing is an emerging technology that offers the services to all the users as per their demand. Services are leveraged according to the Service level agreement (SLA). Service level agreement is monitored so that services are offered to the users without any problem and deprival. Software Defined Network (SDN) is used in order to monitor the trust score of the deployed Virtual Machines (VM) and Quality of Service (QoS) parameters offered. Software Defined Network controller is used to compute the trust score of the Virtual Machines and find whether Virtual Machine is malicious or trusted. Genetic algorithm is used to find the trusted Virtual Machine and release the resources allocated to the malicious Virtual Machine. This monitored information is intimated to cloud provider for further action. Security is enhanced by avoiding attacks from the malicious Virtual Machine in the cloud environment. The main objective of the paper is to enhance the security in the system using Software Defined Network based secured model.

Implementation of User Management in a Laboratory with a Linux Primary Domain Controller

2019 ◽  
Vol 3 (2) ◽  
pp. 73-79
Author(s):  
Dhiemas Aditya Oktara ◽  
Rahmat Suhatman ◽  
Ibnu Surya
Keyword(s):  
Computer Networks ◽  
Educational Institutions ◽  
Network Technology ◽  
Memory Usage ◽  
Test Results ◽  
User Management ◽  
Storage Media ◽  
Cpu Usage

The development of network technology now allows many applications that can be done with computer networks. This can be seen from the needs of educational institutions for computer networks.  One of them is the Polytechnic Caltex Riau (PCR). The use of computers in the laboratory has not yet applied the concept of user management, so that the data stored on the computer can be accessed by more than one user which causes data to be reduced further. One way to overcome this problem is to implement a Primary Domain Controller (PDC), a server that can store and manage computer activities. Requires the client to have an account to log in to the computer and have their own storage media. From the test results obtained by the average received users log in, directory access and application by 96% and from the results of tests that have been done on average to CPU usage of 4% and memory usage by 37%. Can reduce from testing carried out to 30 users, using CPU and memory increases along with the number of clients who carry out activities and it takes a pause when logging in so that all users can access the server.

scholarly journals FEATURE SELECTION FOR PREDICTING LIVE MIGRATION CHARACTERISTICS OF VIRTUAL MACHINES

T-Comm ◽  
2021 ◽  
Vol 15 (7) ◽  
pp. 62-70
Author(s):  
Denis E. Kirov ◽  
◽  
Natalia V. Toutova ◽  
Anatoly S. Vorozhtsov ◽  
Iliya A. Andreev ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Linear Regression ◽  
Virtual Machine ◽  
Performance Metrics ◽  
Virtual Machines ◽  
Cloud Services ◽  
Migration Time ◽  
Support Vector ◽  
Total Migration

Virtual machine migration is widely used in cloud data centers to scale and maintain the stability of cloud services. However, the performance metrics of virtual machine (VM) applications during migration that are set in the Service Level Agreements may deteriorate. Before starting a migration, it is necessary to evaluate the migration characteristics that affect the quality of service. These characteristics are the total migration time and virtual machine downtime, which are random variables that depend on a variety of factors. The prediction is based on the VM monitoring data. In this paper, we select the most suitable factors for forecasting five types of migrations: precopy migration, postcopy migration, and modification of precopy migration such as CPU throttling, data compression, and delta compression of modified memory pages. To do this, we analyzed a dataset that includes data on five types of migrations, approximately 8000 records of each type. Using correlation analysis, the factors that mostly affect the total migration time and the VM downtime are chosen. These characteristics are predicted using machine learning methods such as linear regression and the support vector machine. It is shown that the number of factors can be reduced almost twice with the same quality of the forecast. In general, linear regression provides relatively high accuracy in predicting the total migration time and the duration of virtual machine downtime. At the same time, the observed nonlinearity in the correlations shows that it is advisable to use the support vector machine to improve the quality of the forecast.

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