Packet Loss Minimization in Load-Balancing Switch

2010 ◽  
pp. 44-58
Author(s):  
Yury Audzevich ◽  
Levente Bodrog ◽  
Yoram Ofek ◽  
Miklós Telek
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Loss Minimization

Virtualized Fog Network with Load Balancing for IoT based Fog-to-Cloud

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Istabraq M. Al-Joboury ◽  
Emad H. Al-Hemiary
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Fog Computing ◽  
Transport Protocol ◽  
Network Simulator ◽  
Huge Number ◽  
Message Queue ◽  
Limited Bandwidth ◽  
Cloud Architecture ◽  
Fog Network

Fog Computing is a new concept made by Cisco to provide same functionalities of Cloud Computing but near to Things to enhance performance such as reduce delay and response time. Packet loss may occur on single Fog server over a huge number of messages from Things because of several factors like limited bandwidth and capacity of queues in server. In this paper, Internet of Things based Fog-to-Cloud architecture is proposed to solve the problem of packet loss on Fog server using Load Balancing and virtualization. The architecture consists of 5 layers, namely: Things, gateway, Fog, Cloud, and application. Fog layer is virtualized to specified number of Fog servers using Graphical Network Simulator-3 and VirtualBox on local physical server. Server Load Balancing router is configured to distribute the huge traffic in Weighted Round Robin technique using Message Queue Telemetry Transport protocol. Then, maximum message from Fog layer are selected and sent to Cloud layer and the rest of messages are deleted within 1 hour using our proposed Data-in-Motion technique for storage, processing, and monitoring of messages. Thus, improving the performance of the Fog layer for storage and processing of messages, as well as reducing the packet loss to half and increasing throughput to 4 times than using single Fog server.

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

Packet Loss Analysis of Load-Balancing Switch with ON/OFF Input Processes

2009 ◽  
pp. 197-211 ◽  
Author(s):  
Yury Audzevich ◽  
Levente Bodrog ◽  
Yoram Ofek ◽  
Miklós Telek
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Loss Analysis

Packet-loss-robust load-balancing switch with distributed extended cross-point queues

2009 ◽  
Vol 3 (1) ◽  
pp. 123 ◽  
Author(s):  
S.A. Paredes ◽  
S. Taebi ◽  
T.J. Hall
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Cross Point

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 Sonum: Software-Defined Synergetic Sampling Approach and Optimal Network Utilization Mechanism for Long Flow in a Data Center Network

2019 ◽  
Vol 10 (1) ◽  
pp. 171 ◽  
Author(s):  
Lizhuang Tan ◽  
Wei Su ◽  
Peng Cheng ◽  
Liangyu Jiao ◽  
Zhiyong Gai
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Data Center ◽  
Optimization Problem ◽  
Complete Solution ◽  
Network Utilization ◽  
Optimal Network ◽  
Flow Information ◽  
Flow Detection ◽  
Sampling Approach

Long flow detection and load balancing are crucial techniques for data center running and management. However, both of them have been independently studied in previous studies. In this paper, we propose a complete solution called Sonum, which can complete long flow detection and scheduling at the same time. Sonum consists of a software-defined synergetic sampling approach and an optimal network utilization mechanism. Sonum detects long flows through consolidating and processing sampling information from multiple switches. Compared with the existing prime solution, the missed detection rate of Sonum is reduced by 2.3%–5.1%. After obtaining the long flow information, Sonum minimizes the potential packet loss rate as the optimization target and then translates load balancing into an optimization problem of arranging a minimum packet loss path for long flows. This paper also introduces a heuristic algorithm for solving this optimization problem. The experimental results show that Sonum outperforms ECMP and Hedera in terms of network throughput and flow completion time.

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