scholarly journals Load balancing and quality of service constrained framework for Distributed Virtual Environments

2010 ◽  
Author(s):  
Noah Dietrich ◽  
Shankar M. Banik
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
Virtual Environments ◽  
Distributed Virtual Environments

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

Energy-Efficient Virtualized Scheduling and Load Balancing Algorithm in Cloud Data Centers

2021 ◽  
Vol 11 (3) ◽  
pp. 34-48
Author(s):  
J. K. Jeevitha ◽  
Athisha G.
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
Energy Efficient ◽  
Data Centers ◽  
Scheduling Algorithm ◽  
Cloud Data ◽  
The Third ◽  
Cloud Data Centers ◽  
Load Balancing Algorithm

To scale back the energy consumption, this paper proposed three algorithms: The first one is identifying the load balancing factors and redistribute the load. The second one is finding out the most suitable server to assigning the task to the server, achieved by most efficient first fit algorithm (MEFFA), and the third algorithm is processing the task in the server in an efficient way by energy efficient virtual round robin (EEVRR) scheduling algorithm with FAT tree topology architecture. This EEVRR algorithm improves the quality of service via sending the task scheduling performance and cutting the delay in cloud data centers. It increases the energy efficiency by achieving the quality of service (QOS).

A Survey on Load Balancing Algorithms for Cloud Environment

2019 ◽  
Vol 16 (2) ◽  
pp. 764-767
Author(s):  
P. Chitra ◽  
Karthika D. Renuka ◽  
K. Senathipathi ◽  
S. Deepika ◽  
R. Geethamani
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Comparative Analysis ◽  
Load Balancing ◽  
Resource Utilization ◽  
The Internet ◽  
Cloud Environment ◽  
Web Based ◽  
Qos Metrics

Cloud computing is the cutting edge technology in the information field to provide services to the users over the internet through web–based tools and applications. One of the major aspects of cloud computing is load balancing. Challenges like Quality of service (QoS) metrics and resource utilization can be improved by balancing the load in cloud environment. Specific scheduling criteria can be applied using load balancing for users prioritization. This paper surveys different load balancing algorithms. The approaches that are existing are discussed and analyzed to provide fair load balancing and also a comparative analysis was presented for the performance of the existing different load balancing schemes.

scholarly journals ANALISIS JARINGAN AKSES INTERNET MENGGUNAKAN MIKROTIK ROUTER OS DI SMK TUNAS HARAPAN DENGAN OPTIMALISASI LOAD BALANCING MENGGUNAKAN PARAMETER QoS (Quality of Service)

2020 ◽  
Vol 4 (1) ◽  
pp. 39-42
Author(s):  
Daud Muhammad Tulloh ◽  
M. Ficky Duskarnaen ◽  
Hamidillah Ajie
Keyword(s):  
Quality Of Service ◽  
Life Cycle ◽  
Load Balancing ◽  
Packet Loss ◽  
Load Balance ◽  
Network Development ◽  
Transfer Data ◽  
Development Life Cycle

Penelitian ini bertujuan untuk mengetahui quality of service jaringan akses Internet dengan optimalisasi load balance pada Mikrotik Router OS di SMK Tunas Harapan Jakarta . Penelitian ini menggunakan metode penelitian rekayasa teknik dengan metode pengembangan sistem NDLC (Network Development Life Cycle), tahap implementasi sampai pada tahapan pengukuran meliputi throughput, jitter, packet loss, dan delay dengan melakukan transfer data dan monitoring streaming  dari laptop client ke server serta penerapan load balancing untuk optimalisasi dua ISP. Berdasarkan hasil akhir dari analisis dapat simpulkan bahwa kinerja parameter quality of service yaitu throughput, jitter, packet loss, dan delay pada jaringan akses Internet SMK Tunas Harapan termasuk dalam kategori Kurang Memuaskan menurut TIPHON.

scholarly journals Evaluation of load balancing algorithms on overlappiing wireless accesspoints

2021 ◽  
Vol 21 (2) ◽  
pp. 895
Author(s):  
Marion Olubunmi Adebiyi ◽  
Egbe Egbe Adeka ◽  
Florence A. Oladeji ◽  
Roseline Oluwaseun Ogundokun ◽  
Micheal Olaolu Arowolo ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Load Balancing ◽  
Load Distribution ◽  
Access Point ◽  
Round Robin ◽  
Point Load ◽  
Access Points

<span>Wireless networks came into the computing world replacing the costlier and more complex wired method of connecting numerous equipment in the same or different location via the use of cables. It provides the user devices a connection to one another and the greater internet via connections to access points. Generally, 802.11 access point products follow a default strongest signal first approach in selecting user devices or nodes to connect to the access point or overlapping access points. This standard does not make provisions for even distribution of load and hence the quality of service and the throughput in areas of congestion would be reduced. This article brings forward two algorithms used in load balancing and they include round-robin technique and the weighted round-robin technique to be used in the simulation of the distribution of the load amongst the access points with the results collated and compared to clearly show which algorithm is best suited to be used as a standard for access point load distribution.</span>

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