scholarly journals Implementasi Load Balancing Dengan Algoritma Penjadwalan Weighted Round Robin Dalam Mengatasi Beban Webserver

2021 ◽  
Vol 5 (2) ◽  
pp. 226-233
Author(s):  
Anggi Hanafiah
Keyword(s):  
Load Balancing ◽  
Load Balance ◽  
Round Robin ◽  
Single Server

Dalam kehidupan sehari-hari semua orang tidak terlepas dari berbagai macam informasi, terutama informasi yang dihasilkan dari sebuah website. Selain dari pemrograman yang handal, resource yang lain seperti webserver juga sangat perlu diperhatikan agar website dapat berjalan dengan baik. Seiring meningkatnya kebutuhan konten dan pengunjung website, maka website sering mengalami crash atau request yang overload. Hal ini dikarenakan masih menerapkan single server untuk menangani website tersebut. Untuk mengatasi permasalahan tersebut, perlu diterapkan sebuah load balance cluster, dimana beban kerja webserver tersebut dapat didistribusikan ke beberapa node cluster. Algoritma penjadwalan weighted round robin merupakan salah algoritma penjadwalan dimana beban kerja server dapat berjalan seimbang dengan cara memberikan jumlah bobot ke masing-masing node cluster.

Analisis Mirror Server menggunakan Load Balancing pada Jaringan Area Lokal

2020 ◽  
Vol 10 (4) ◽  
pp. 173-178
Author(s):  
Alfian Nurdiansyah ◽  
Nugroho Suharto ◽  
Hudiono Hudiono
Keyword(s):  
Load Balancing ◽  
Load Balance ◽  
Round Robin ◽  
Data Set ◽  
Load Balancer

Server merupakan serbuah sistem yang memberikan layanan tertentu pada suatu jaringan komputer. Server mempunyai sistem operasi sendiri yang disebut sistem operasi jaringan. Server juga mengontrol semua akses terhadap jaringan yang ada didalamnya.  Agar membantu tugas server, dibuatlah sistem mirroring server dimana server tersebut menduplikasi sebuah data set atau tiruan persis dari sebuah server yang menyediakan berbagai informasi. Mirror server atau disebut juga sinkronisasi server merupakan duplikat dari suatu server. Untuk menambah kinerja dari server maka dibutuhkan load balancer. Load balancing adalah teknik untuk mendistribusikan internet dua jalur koneksi secara seimbang. Dengan penerapan load balancing trafik akan berjalan lebih optimal, memaksimalkan throughput dan menghindari overload pada jalur koneksi. Iptables digunakan untuk memfilter IP sehigga client mengakses server sesuai dengan zona server yang paling dekat. Sehingga load balance yang dipadukan dengan iptables dapat membuat kinerja server menjadi lebih ringan. Masalah yang sering terjadi adalah ketika banyaknya client yang mengakses sebuah server maka server akan overload dan mengakibatkan kinerja server menjadi berat karena padatnya trafik. Client yang mengakses juga mendapatkan efek dari hal tersebut yaitu akses yang lama. Dari hasil penelitian tentang perpaduan antara load balance dan iptables didapati bahwa load balance dengan algoritma round robin rata-rata delay yang didapatkan untuk server1 yaitu 0,149 detik dan 0,19122. Server2 rata-rata delay yang didapatkan 0,161 detik dan 0,012 detik.

scholarly journals Penerapan Metode Round Robin Pada Jaringan Multihoming Di Computer Cluster

2017 ◽  
Vol 1 (2) ◽  
pp. 26-35
Author(s):  
Yudhi Arta
Keyword(s):  
Load Balance ◽  
Round Robin ◽  
Single Server ◽  
Computer Cluster

Pentingnya sebuah informasi saat ini dituntut sebuah sistem sanggup memberikan pelayanan yang terbaik, khususnya pelayanan informasi dengan media website. Meningkatnya jumlah akses terhadap website mengakibatkan beban kerja webserver menjadi meningkat dan tidak bisa diatasi dengan single server. Permasalahan tersebut dapat diatasi dengan menerapkan metode cluster load balance. Pada dasarnya cluster load balance bekerja dengan membagikan beban kerja webserver secara terdistribusi ke beberapa node server agar website menjadi seimbang. Algoritma penjadwalan weighted round robin dapat menyeimbangkan beban dengan menentukan jumlah bobot ke masing-masing node server. Dengan adanya load balance dengan menggunakan algoritma penjadwalan diharapkan mampu mencegah terjadinya request yang overload, meratakan beban kerja webserver, dan mempercepat respon time serta throughput terhadap kinerja webserver.

scholarly journals IMPLEMENTING LOAD BALANCING BY MODIFIED WEIGHTED ROUND ROBIN-RETRIEVE PACKET ALGORITHM ON THE SOFTWARE-DEFINED NETWORKING

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
ZAINAL ABIDIN ◽  
Tutuk Indriyani ◽  
Danang Haryo Sulaksono
Keyword(s):  
Load Balancing ◽  
Response Time ◽  
Software Defined Networking ◽  
Round Robin ◽  
Traffic Load ◽  
Single Server ◽  
Average Response ◽  
Average Response Time ◽  
Time Limits

Client’s request for traffic problems is so huge that causes the single server difficult in handling the traffic load. Therefore, the system of load balancing is required as it is a technique to equally distribute the traffic load on the two or more connection lines so that the traffic can run optimally. Thus, the load balancing is crucial to implement by using Modified Weighted Round Robin-Retrieve Packet on the Software-Defined Networking. Based on the parameter of average response-time in time limits 0.1, 0.2, and 0.3 seconds, the scores were 0.016-0.04, 0.02-0.04, and 0.014-0.032 seconds consecutively. Based on the parameter of data transaction per second in time limits 0.1; 0.2, and 0.3 seconds, the scores respectively were 49.614-111.306, 41.678-107.032, and 37.806-102.84 data transaction/second. 

scholarly journals PENGARUH IMPLEMENTASI LOAD BALANCING DAN TUNING WEB SERVER PADA RESPONSE TIME RASPBERRY PI

2019 ◽  
Vol 6 (2) ◽  
pp. 211
Author(s):  
Dodon Turianto Nugrahadi ◽  
Rudy Herteno ◽  
Muhammad Anshari
Keyword(s):  
Load Balancing ◽  
Response Time ◽  
Load Balance ◽  
Response Times ◽  
Rapid Development ◽  
Web Server ◽  
Round Robin ◽  
Raspberry Pi ◽  
Web Servers ◽  
Web Based

<div class="WordSection1"><p><em>The rapid development of technology, the increase in web-based systems and development of microcontroller device, have an impact on the ability of web servers to respond in serving client requests. This study aims to analyze load balancing methods </em><em>algoritma round robin </em><em>and </em><em>tuning that significant influence for</em><em> the response time and the number of clients who are able to be handled in serving clients on the web server with microcontroller device. From this study with Stresstool testing the response time was 2064, 2331,4 and 1869,2ms for not using load balancing and 2270, 2306,2 and 2202ms with load balancing from 700 requests served by web servers. It can be concluded that web server response times that use load balancing are smaller than web servers without load balancing. Furthermore, using tuning with the response time obtained at 3103.4ms from 1100 requests. So, with tuning can reduce response time and increase the number of requests.</em><em> With level significant level calculatio, have it khown that tuning configuration give significant effe</em><em>ct</em><em>  for </em><em>the response time and the number of clients in microcontroller.</em></p><p><strong>Keywords</strong>: <em>Web server, Raspberry, Load balancing, Response time, Stresstool.</em></p><p><em>Perkembangan </em><em>implementasi teknologi</em><em> yang pesat, seiring dengan perkembangannya </em><em>sistem </em><em>berbasis web dan perangkat mikrokontroler</em><em>, berdampak pada kemampuan web server dalam memberikan tanggap untuk melayani permintaan klien. Penelitian ini bertujuan untuk menganalisis metode load balance</em><em> </em><em>algoritma round robin dan tuning yang berpengaruh terhadap waktu tanggap dan banyaknya jumlah klien yang mampu ditangani dalam melayani klien pada web server</em><em> dengan mikrokontroler</em><em>. Dari penelitian ini </em><em>dengan pengujian Stresstool </em><em>didapatkan waktu tanggap sebesar </em>2331,4, 2064, 1869,2<em>ms untuk tanpa load balancing dan </em>2270, 2306,2<em> dan </em>2202<em>ms dengan load balancing dari </em><em>600 permintaan </em><em>yang dilayani </em><em>web server</em><em>. Dapat disimpulkan bahwa waktu tanggap web server yang menggunakan load balancing lebih kecil dibandingkan web server yang tidak menggunakan load balancing. Selanjutnya menggunakan tuning dengan waktu tanggap sebesar 3103,4ms dari 1100 permintaan. Jadi, tuning dapat mempersingkat waktu tanggap dan meningkatkan jumlah permintaan yang dilayani web server.</em><em> Selanjutnya dengan penghitungan tingkat pengaruh, bahwa </em><em>diketahui konfigurasi load balancing algoritma round robin  dan tuning memberikan pengaruh secara signifikan terhadap waktu tanggap dan jumlah permintaan pada mikrokontroler.</em></p><p><strong><em>Kata kunci</em></strong><em> : </em><em>Web server</em><em>,</em><em> Raspberry,</em><em> Load balancing, Waktu tanggap, Stresstool,</em><em> Jmeter,</em><em> Klien</em></p></div><em><br clear="all" /> </em>

scholarly journals Implementasi High Availability Cluster Web Server Menggunakan Virtualisasi Container Docker

2020 ◽  
Vol 4 (1) ◽  
pp. 9
Author(s):  
Muhammad Aldi Aditia Putra ◽  
Iskandar Fitri ◽  
Agus Iskandar
Keyword(s):  
Load Balancing ◽  
Research Method ◽  
Web Server ◽  
Round Robin ◽  
High Availability ◽  
Traffic Load ◽  
Single Server ◽  
Test Results ◽  
Increasing Demand ◽  
The Web

The increasing demand for information on the internet causes the traffic load on the web server to increase. Therefore it can cause the workload on a web server service to be overloaded (request), so that the server is down (overloaded). Based on previous research the application of load balancing can reduce the burden of traffic on the web server. This research method uses load balancing on servers with round robin algorithm and least connections as well as a single server as a comparison. The parameters measured are throughput, responses time, requests per second, CPU utilization. From the test results obtained Haproxy load balancing system, the least connection algorithm is superior to the round robin algorithm. Generated per-second request value of 2607,141 req / s and throughput of 9.25 MB / s for the least connection, while 2807,171 req / s and 9.30 MB / s for round robin.

scholarly journals ANALISIS PENINGKATAN KINERJA FTP SERVER MENGGUNAKAN LOAD BALANCING PADA CONTAINER

2019 ◽  
Vol 9 (3) ◽  
pp. 8-18
Author(s):  
Januar Al Amien ◽  
Doni Winarso
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Round Robin ◽  
Single Server ◽  
Test Results ◽  
File Transfer Protocol ◽  
Computing Technology ◽  
File Transfer ◽  
Use Of Resources ◽  
Transfer Protocol

Abstract Cloud computing is a technology that answers the challenge of the need for efficient computing technology. There are many things that can be implemented using cloud computing technologies such as web services, storage services, applications and others. Use of cloud computing using container technology can help in the management of applications and optimize the use of resources in the form of memory and processor usage on the server. In this research docker containers implemented by service of FTP (File Transfer Protocol). The FTP service is made into 3 containers within a single server computer. To handle load problems performance on the FTP server against overload requests, load balancing is used. Load balancing is a method to improve performance while reducing the performance load on FTP servers. Based on the test results, the use of multi container and load balancing in the FTP server in load with two algorithm least connection and raound robin handling has result of smaller memory usage and utilization of processor usage evenly. Both algorithms are recommended for handling loads for FTP servers and will be more efficient when applied to servers with the same specifications and loads Keywords: Cloud Computing, Docker, FTP, Load Balancing, HAProxy, Least Connection, Round Robin. Abstrak Cloud computing merupakan teknologi yang menjawab tantangan akan kebutuhan teknologi komputasi yang efisien. Terdapat banyak hal yang dapat diimplementasikan menggunakan teknologi cloud computing seperti web service, layanan penyimpanan, aplikasi dan lain-lain. Penerapan cloud computing dengan menggunakan teknologi container dapat membantu dalam pengelolaan aplikasi serta mengoptimalkan penggunaan sumber daya berupa penggunaan memory dan prosesor pada server. Dalam penelitian ini penerapan docker container diimplementasikan menggunakan layanan aplikasi FTP (File Transfer Protocol). Layanan  FTP dibuat menjadi 3 container didalam satu computer server. Untuk menangani permasalahan beban kinerja pada FTP server terhadap permintaan yang terlalu berat (overload) digunakan load balancing. Load balancing merupakan metode untuk meningkatkan kinerja sekaligus mengurangi beban kinerja pada FTP server. Berdasarkan hasil pengujian, penerapan multi container serta load balancing didalam FTP server dalam penanganan beban dengan dua algortima least connection dan round robin memiliki hasil penggunaan memory yang lebih kecil dan pemanfaatan penggunaan prosesor yang merata kedua algoritma tersebut direkomendasikan untuk penanganan beban untuk ftp server dan akan lebih efisien apabila diterapkan pada server dengan spesifikasi dan beban yang sama. Kata Kunci: Cloud Computing, Docker, FTP, Load Balancing, HAProxy, Least Connection, Round Robin .

scholarly journals Load Balancing Oriented Predictive Routing Algorithm for Data Center Networks

2021 ◽  
Vol 13 (2) ◽  
pp. 54
Author(s):  
Yazhi Liu ◽  
Jiye Zhang ◽  
Wei Li ◽  
Qianqian Wu ◽  
Pengmiao Li
Keyword(s):  
Load Balancing ◽  
Data Center ◽  
Load Balance ◽  
Routing Algorithm ◽  
Round Robin ◽  
Data Center Networks ◽  
Bandwidth Utilization ◽  
Time Flow ◽  
Data Flows ◽  
Network Links

A data center undertakes increasing background services of various applications, and the data flows transmitted between the nodes in data center networks (DCNs) are consequently increased. At the same time, the traffic of each link in a DCN changes dynamically over time. Flow scheduling algorithms can improve the distribution of data flows among the network links so as to improve the balance of link loads in a DCN. However, most current load balancing works achieve flow scheduling decisions to the current links on the basis of past link flow conditions. This situation impedes the existing link scheduling methods from implementing optimal decisions for scheduling data flows among the network links in a DCN. This paper proposes a predictive link load balance routing algorithm for a DCN based on residual networks (ResNet), i.e., the link load balance route (LLBR) algorithm. The LLBR algorithm predicts the occupancy of the network links in the next duty cycle, according to the ResNet architecture, and then the optimal traffic route is selected according to the predictive network environment. The LLBR algorithm, round-robin scheduling (RRS), and weighted round-robin scheduling (WRRS) are used in the same experimental environment. Experimental results show that compared with the WRRS and RRS, the LLBR algorithm can reduce the transmission time by approximately 50%, reduce the packet loss rate from 0.05% to 0.02%, and improve the bandwidth utilization by 30%.

scholarly journals Load Balancing Network by using Round Robin Algorithm: A Systematic Literature Review

2020 ◽  
Vol 4 (2) ◽  
pp. 85 ◽  
Author(s):  
Taufik Hidayat ◽  
Yasep Azzery ◽  
Rahutomo Mahardiko
Keyword(s):  
Load Balancing ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Load Balance ◽  
Simple Algorithm ◽  
Round Robin ◽  
Process Efficiency ◽  
Network Load ◽  
Network Load Balancing ◽  
Selection Of

The use of load balance on a network will be very much needed if the network is an active network and is widely accessed by users. A reason is that it allows network imbalances to occur. Round Robin (RR) algorithm can be applied for network load balancing because it is a simple algorithm to schedule processes so that it can provide work process efficiency. Authors use the Systematic Literature Review (SLR) method in which it can be applied for criteria selection during papers search to match the title being raised. SLR is divided into five stages, namely formalization of questions, criteria selection, selection of sources, selection of search results, and quality assessment. By using SLR, it is expected that papers according to criteria and quality can be found.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

M2FBalancer: A mist-assisted fog computing-based load balancing strategy for smart cities

2021 ◽  
pp. 1-15
Author(s):  
Subhranshu Sekhar Tripathy ◽  
Diptendu Sinha Roy ◽  
Rabindra K. Barik
Keyword(s):  
Load Balancing ◽  
Resource Utilization ◽  
Smart City ◽  
Load Transfer ◽  
Smart Cities ◽  
Fog Computing ◽  
Round Robin ◽  
Healthcare Management ◽  
Optimization Strategy ◽  
Allocation Method

Nowadays, cities are intended to change to a smart city. According to recent studies, the use of data from contributors and physical objects in many cities play a key element in the transformation towards a smart city. The ‘smart city’ standard is characterized by omnipresent computing resources for the observing and critical control of such city’s framework, healthcare management, environment, transportation, and utilities. Mist computing is considered a computing prototype that performs IoT applications at the edge of the network. To maintain the Quality of Service (QoS), it is impressive to employ context-aware computing as well as fog computing simultaneously. In this article, the author implements an optimization strategy applying a dynamic resource allocation method based upon genetic algorithm and reinforcement learning in combination with a load balancing procedure. The proposed model comprises four layers i.e. IoT layer, Mist layer, Fog layer, and Cloud layer. Authors have proposed a load balancing technique called M2F balancer which regulates the traffic in the network incessantly, accumulates the information about each server load, transfer the incoming query, and disseminate them among accessible servers equally using dynamic resources allocation method. To validate the efficacy of the proposed algorithm makespan, resource utilization, and the degree of imbalance (DOI) are considered as the scheduling parameter. The proposed method is being compared with the Least count, Round Robin, and Weighted Round Robin. In the end, the results demonstrate that the solutions enhance QoS in the mist assisted cloud environment concerning maximization resource utilization and minimizing the makespan. Therefore, M2FBalancer is an effective method to utilize the resources efficiently by ensuring uninterrupted service. Consequently, it improves performance even at peak times.

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