Efficient load balancing using improved central load balancing technique

Kaur, Simranjit; Sharma, Tejinder

doi:10.1109/icisc.2018.8398857

Cited by 29 publications

(8 citation statements)

References 1 publication

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“…Load balancing adalah komponen penting dalam distribusi teknologi komputasi yang menarik perhatian dunia [12]. Teknik ini dibagi menjadi beberapa metode yaitu Static route dengan address list, Fail over, Equal Cost Multi Path (ECMP), Nth, dan Per Connection Classifier (PCC) [13]. Setiap metode memiliki kelebihan dan kekurangannya masing-masing [14].…”

Section: Pendahuluanunclassified

Optimalisasi Jaringan Internet Dengan Load Balancing Pada High Traffic Network

2021

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In recent years, the Internet became an important human need in the modern times. In 2019 the number of internet users in Indonesia reached 73.7% of the population as a whole and an increase of 8.9% from the previous year. In State Islamic High School Sidoarjo already provides internet services but existing bandwidth is not distributed evenly between ISP1 and ISP2. In this research, a Load balancing technique is carried out using the Per Connection Classifier (PCC) method. This method divides and classify the data packets to the Gateway connection. QoS Testing was performed using four parameters : Throughput, Jitter, Delay, and Packet Loss are taken the average value by measuring before and after Load balancing. Before Load balancing the uploads and downloads are 19.01 and 19.87 Mbps. From the results of testing the two domain, namely www.google.com and www.youtube.com the Delay was 55 and 39 ms, Jitter was 8 and 17 ms, and Packet Loss was 1% and 19%. Whereas after Load balancing is applied the uploads and downloads are 199.00 and 134.87 Mbps. From the results of testing two domains, the Delay is 21 and 24 ms, both Jitter is 0 ms, and both Packet Loss is 0%.

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Section: Pendahuluanunclassified

Optimalisasi Jaringan Internet Dengan Load Balancing Pada High Traffic Network

2021

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“…Load balance is a configuration way to manage load similarity to be more stable by using less ISP lines used or active or rather merging ISP lines. The purpose of load balancing is to increase acceptance, to overcome if there is a system failure, to maintain system strength, and to manage the reduction upcoming traffic [1]. Figure 2.…”

Section: B Load Balancementioning

confidence: 99%

“…In a static sensor network, the settings and distribution of sensor nodes are completed during the network initialization process. After either random or location-based deployment, each node maintains its position, then conveys sensing data [1].…”

Section: Introductionmentioning

confidence: 99%

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

Hidayat¹,

Azzery

Mahardiko

2020

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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.

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“…Patni and Aswal [22] proposed a distributed load-balancing algorithm for grid architectures. Kaur and Sharma [23] uses a "Central Load Balancer" formula to balance the burden among virtual products with reasoning data center. In [24], a hierarchical (2 levels) dynamic load-balancing model is proposed to compromise between centralized and fully distributed load-balancing schemes.…”

Section: Related Workmentioning

confidence: 99%

Hybrid-Grained Dynamic Load Balanced GEMM on NUMA Architectures

Lei

2018

Electronics

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The Basic Linear Algebra Subprograms (BLAS) is a fundamental numerical software and GEneral Matrix Multiply (GEMM) is the most important computational kernel routine in the BLAS library. On multi-core and many-core processors, the whole workload of GEMM is partitioned and scheduled to multiple threads to exploit the parallel hardware. Generally, the workload is equally partitioned among threads and all threads are expected to accomplish their work in roughly the same time. However, this is not the case on Non-Uniform Memory Access (NUMA) architectures. The NUMA effect may cause threads to run at different speeds, and the overall executing times of GEMM is determined by the slowest thread. In this paper, we propose a hybrid-grained dynamic load-balancing method to reduce the harm of the NUMA effect by allowing fast threads to steal work from slow ones. We evaluate the proposed method on Phytium 2000+, an emerging 64-core high-performance processor based on Arm’s AArch64 architecture. Results show that our method reduces the synchronization overhead by 51.5% and achieves an improvement of GEMM performance by 1.9%.

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Efficient load balancing using improved central load balancing technique

Cited by 29 publications

References 1 publication

Optimalisasi Jaringan Internet Dengan Load Balancing Pada High Traffic Network

Optimalisasi Jaringan Internet Dengan Load Balancing Pada High Traffic Network

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

Hybrid-Grained Dynamic Load Balanced GEMM on NUMA Architectures

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