scholarly journals Design and Performance Analysis of a New Framework of Multipath Load Balancing Routing in Ad-Hoc Network

2019 ◽  
Vol 8 (4) ◽  
pp. 12773-12778
Keyword(s):  
Load Balancing ◽  
Communication Networks ◽  
Network Performance ◽  
Ad Hoc ◽  
Multipath Routing ◽  
Buffer Size ◽  
Route Information ◽  
Load Balancing Algorithm ◽  
And Performance

In the communication networks, one of the major problems in the quality of service is congestion. Indeed, the phenomenon of congestion is due to the fact that many packets emitted follow the same paths. As a result, the increase the bandwidth offered can solve the problem only in the short term. In order to solve this problem, several solutions have been proposed, such as multipath routing algorithms, which distribute traffic between a source and a destination on several different paths, while taking into account the level of saturation of the intermediaries nodes, composing the different paths with a objective to avoid cluttered paths. Its purpose is to shed the excessive burden save a knot on its neighbors to improve performance and to exploit efficiently. In this paper we have analysis the load balancing in Multipath routing to achieve better network performance. We have study and reviewed the different load balancing algorithm in multipath network and based on review we have proposed a new load balancing algorithm in the multipath network. We have modified the packet of RREP and RREQ packet to transmit and receive the route information to compute the load of every path and we added a new field in RREP packet Buffer size to store the current node and their neighbor information to find the alternate route if network load in increase we have compare the performance of proposed protocol with the LB-AOMDV, SMR & AOMDV multipath routing protocols. NS2 is used for simulation

A Routing Protocol for Emergency Communication Based on Load Balancing

2015 ◽  
Vol 719-720 ◽  
pp. 744-749
Author(s):  
Hui Han ◽  
Hong De Zhang ◽  
Yang Wang
Keyword(s):  
Load Balancing ◽  
Communication Networks ◽  
Routing Protocol ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Network Routing ◽  
Packet Transmission ◽  
Emergency Communication ◽  
Network Load

Ad-hoc communications is a mobile communication networks and computer networks combine with no infrastructure support, and network survivability and flexibility is strong, especially suitable for emergency communication. As the existing mobile ad hoc network routing protocols lack of network load balancing capabilities, this paper proposed a routing protocol based on load balancing LBBR (Load Balancing Based Routing). Simulation results shows that, LBBR can improve the success rate of packet transmission, reducing the average end to end delay, thus effectively improving network performance.

scholarly journals Cloud Computing based on the Load Balancing Algorithm

2018 ◽  
Vol 7 (4.7) ◽  
pp. 131
Author(s):  
NV Abhinav Chand ◽  
A Hemanth Kumar ◽  
Surya Teja Marella
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
User Satisfaction ◽  
Easy Access ◽  
Future Research ◽  
Computing Technology ◽  
Main Challenge ◽  
Load Balancing Algorithm ◽  
And Performance ◽  
Time Resource

Emerging cloud computing technology is a big step in virtual computing. Cloud computing provides services to clients through the internet. Cloud computing enables easy access to resources distributed all over the world. Increase in the number of the population has further increased the challenge. The main challenge of cloud computing technology is to achieve efficient load balancing. Load balancing is a process of assigning load to available resources in such a way that it avoids overloading of resources. If load balancing is performed efficiently, it improves QoS metric including cost, throughput, response time, resource utilization and performance. Efficient load balancing techniques also provide better user satisfaction. Various load balancing algorithms are used in different scenarios for ensuring the same. In the current research, we will study different algorithms for load balancing and benefits and limitations caused to the system due to the algorithms. In this paper, we will compare static and dynamic load balancing algorithms for various measures of efficiency. These will be useful for future research in the concerned field. 

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 Proficient Approach for Load Balancing in Cloud Computing-Join Minimum Loaded Queue

2020 ◽  
Vol 11 (1) ◽  
pp. 12-36
Author(s):  
Minakshi Sharma ◽  
Rajneesh Kumar ◽  
Anurag Jain
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Response Time ◽  
Resource Utilization ◽  
Cloud Service ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Load Balancing Algorithm

Cloud load balancing is done to persist the services in the cloud environment along with quality of service (QoS) parameters. An efficient load balancing algorithm should be based on better optimization of these QoS parameters which results in efficient scheduling. Most of the load balancing algorithms which exist consider response time or resource utilization constraints but an efficient algorithm must consider both perspectives from the user side and cloud service provider side. This article presents a load balancing strategy that efficiently allocates tasks to virtualized resources to get maximum resource utilization in minimum response time. The proposed approach, join minimum loaded queue (JMLQ), is based on the existing join idle queue (JIQ) model that has been modified by replacing idle servers in the I-queues with servers having one task in execution list. The results of simulation in CloudSim verify that the proposed approach efficiently maximizes resource utilization by reducing the response time in comparison to its other variants.

scholarly journals Development of an integrated computational tool to improve performance of irrigation districts

2012 ◽  
Vol 14 (3) ◽  
pp. 716-730 ◽  
Author(s):  
L. Pérez Urrestarazu ◽  
J. A. Rodríguez Díaz ◽  
E. Camacho Poyato ◽  
R. López Luque ◽  
F. M. Borrego Jaraba
Keyword(s):  
Performance Indicators ◽  
Network Performance ◽  
Hydraulic Modeling ◽  
Hydraulic Model ◽  
Irrigation District ◽  
Improve Performance ◽  
Computer Tool ◽  
Calculation Module ◽  
And Performance

Nowadays irrigation district managers require several tools to assess irrigation networks' performance such as hydraulic models, geographic information systems (GIS) or decision support systems (DSS) which are available but as independent elements. Thus, simplifying the use of these tools by means of applications that integrate all these components would be helpful for irrigation district managers. In this paper, a computer tool combining a GIS, a hydraulic model and performance indicators (PIs) has been developed creating a database to deal with most information required in an irritation district. MapObjects Java Edition was used for the GIS integration and EPANET calculation module for the hydraulic modeling. This tool enables the study of the network performance, taking into account real measures (data from the remote control system) and simulated measures (obtained when running the hydraulic model) which are stored in a database and used to calculate different indicators that can be represented in the GIS. The PIs calculated with this tool give important information regarding the network response to different conditions, malfunction problems and failures in supply. Therefore, this tool is also useful to study the effects of improvements and the quality of service provided to farmers.

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