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3rd International Scientific-Practical Conference on Problems of Infocommunications Science and Technology (PIC S&T)

作者： Tkachova, Olena Yahya, Abdulghafoor Raed Muhi-Aldeen, Hassan Mohamed Kharkov Natl Univ Radio Elect Telecommun Syst Dept Kharkov Ukraine Odessa Natl Acad Telecommun Telecommun Syst Dept Odessa Ukraine Odessa Natl Polytech Univ Telecommun Syst Dept Odessa Ukraine

ISBN: (纸本)9781509029785

Overlay solutions of SDN-based networks became very popular. Controller as a centralized management devices gather information about network topology and current network state. Overlay network have a lot benefits however the using of classical traffic engineering principles for traffic management in Software-Defined Network is becoming problem. The physical network does not automatically adapt to the changes. As the overlay-based networks grow and requires more resources. The management mechanism - network load balancing algorithm - that take into account centralized structure and heterogeneous traffic nature of Software-Defined Network is proposed in the paper.

关键词： Software-Defined Networking overlay load balancing algorithm adjacency matrix

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Efficient load balancing Adaptive BNBKnapsack algorithm for Edge computing to improve performance of network

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EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS 2024年第3期11卷 1-12页

作者： Nagle, Malti Kumar, Prakash Jaypee Inst Technol Dept Comp Sci & Engn Noida UP India

INTRODUCTION: In present days, Automation of everything has become essential. Internet of things (IoT) play an important role among all medical advances of IT. In this paper, feasible solutions are discussed to compare and design better healthcare systems. A thorough investigation and survey of suitable approaches were done to select IoT based systems in hospitals consisting of various high precision sensors. OBJECTIVES: The challenge healthcare system face is to manage the real time patient's data with high accuracy. Second challenge is at fog devices level to manage the load distribution to all sensors with limited availability of bandwidth. METHODS: This paper summarizes the selection criterions of suitable load balancing algorithms to reduce energy consumption and computational cost of fog devices and increase the network usage that are supposed to be used in IoT based healthcare systems. According to the survey BNBKnapack algorithm has been selected as best suitable approach to analyze the overall performance of fog devices and results are also verify the same. RESULTS: Comparative analysis of Overall performance of fog devices has been proposed with using SJF algorithm and Adaptive BNBKnapsack algorithm. It has been observed by analysing system performance, which is found as best among other load balancing algorithm Adaptive BNBKnapsack is successfully reduce the energy consumption by (99.29%), computational cost by (98.34%) and increase the network usage by (99.95%) of system CONCLUSION: It has been observed by analysing system performance, Adaptive BNBKnapsack load balancing is successfully able to reduce the computational cost and energy consumption also increase the network usage of the fog network. The performance of the system is found best among other load balancing algorithm.

关键词： IoT Cloud Computing Context aware system scheduling load balancing algorithm EEG sensor BLE CloudSim iFogSim Stress related health issues Adaptive BNBKnapsackalgorithm.Introduction.

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Predictive and content-aware load balancing algorithm for peer-service area based IPTV networks

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MULTIMEDIA TOOLS AND APPLICATIONS 2014年第3期70卷 1987-2010页

作者： Gaber, Suliman Mohamed Ahmed Sumari, Putra Univ Sains Malaysia Sch Comp Sci Multimedia Res Grp P Penang 11800 Malaysia

load balancing is a crucial factor in IPTV delivery networks. load balancing aims at utilizing the resources efficiently, maximizing the throughput, and minimizing the request rejection rate. The peer-service area is the recent architecture for IPTV delivery networks that overcomes the flaws of the previous architectures. However, it still suffers from the load imbalance problem. This paper investigates the load imbalance problem, and tries to augment the peer-service area architecture to overcome this problem. To achieve the load balancing over the proposed architecture, we suggest a new load-balancing algorithm that considers both the expected and the current load of both contents and servers. The proposed load-balancing algorithm consists of two stages. The first stage is the contents replication according to their expected load, while the second stage is the content-aware request distribution. To test the effectiveness of the proposed algorithm, we have compared it with both the traditional Round Robin algorithm and Cho algorithm. The experimental results depict that the proposed algorithm outperforms the two other algorithms in terms of load balance, throughput, and request rejection rate.

关键词： IPTV VoD Peer-service area architecture Content Distribution Network load balancing algorithm Request distribution Content replication scheme

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load balancing Based on Multi-Agent Framework to Enhance Cloud Environment

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Computers, Materials & Continua 2023年第2期74卷 3015-3028页

作者： Shrouk H.Hessen Hatem M.Abdul-kader Ayman E.Khedr Rashed K.Salem Information Systems Department Faculty of Computers and InformationMenoufia UniversityShebin ElkomEgypt Information Systems Department Faculty of Computers and Artificial IntelligenceSouth Valley UniversityHurghadaEgypt Information Systems Department Faculty of Computers and Information TechnologyFuture University in Egypt(FUE)CairoEgypt

According to the advances in users’service requirements,physical hardware accessibility,and speed of resource delivery,Cloud Computing(CC)is an essential technology to be used in many ***,the Internet of Things(IoT)is employed for more communication flexibility and richness that are required to obtain fruitful services.A multi-agent system might be a proper solution to control the load balancing of interaction and communication among *** paper proposes a multi-agent load balancing framework that consists of two phases to optimize the workload among different servers with large-scale CC power with various utilities and a significant number of IoT devices with low *** agents are integrated based on relevant features of behavioral interaction using classification techniques to balance the *** balancing algorithm is developed to serve users’requests to improve the solution of workload problems with an efficient *** activity task from IoT devices has been classified by feature selection methods in the preparatory phase to optimize the scalability ***,the server’s availability is checked and the classified task is assigned to its suitable server in the main phase to enhance the cloud environment ***-agent load balancing framework is succeeded to cope with the importance of using large-scale requirements of CC and(low resources and large number)of IoT.

关键词： Cloud computing IoT multi-agent system load balancing algorithm server utilities

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Design and implementation of J2EE-based statement feature recognition in English teaching system optimization

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SYSTEMS AND SOFT COMPUTING 2024年 6卷

作者： Wang, Lina Zhejiang Yuexiu Univ Acad affairs Dept Shaoxing 312000 Peoples R China

With the development of Internet technology, network English teaching system came into being and developed rapidly. Based on optimized J2EE, this paper presents the implementation of sentence feature recognition in the English teaching system. Optimize the load balancing algorithm on the basis of cloud computing technology, and improve the teaching service providing ability of online teaching system based on J2EE. The technology integration of Sturts2, Spring, and Batis was realized to realize the persistence layer, business layer, and presentation layer respectively through the three frameworks. Then, the technology of Struts2 and Spring, Spring, and Batis software is integrated to analyze and build the current popular SSI lightweight framework, and RBAC is used to provide a security mechanism for the SSI framework. It establishes that the information system should adopt the mixed architecture of B/S architecture and C/S architecture, and then design the overall functional structure of the system with students, teachers, and administrators as the main users from the perspective of users. This paper analyzes and explains the overall structure of the J2Ee-based English teaching system, briefly introduces the overall framework of the whole website, and introduces the main functions of each functional module of the website. Finally, the English teaching system based on optimized J2EE statement feature recognition is implemented and tested. In the performance test of file resource query service with virtual 10-100 users and 20 times submitted by each user, the response time of the system is <1.5 s, the success rate reaches 100 %, and the CPU utilization is also <5 %. The memory usage is relatively high. When 2000 queries are concurrent, the memory usage reaches >160 M.

关键词： J2EE SSI load balancing algorithm Hybrid architecture English teaching system

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The Formation of Computer Cluster with Limited Computing Resources Based on an Arbitrary Neural Network 19

The Formation of Computer Cluster with Limited Computing Res...

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IEEE 19th International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH)

作者： Belej, Olexander Nestor, Natalia Artyshchuk, Iryna Pytel, Krzysztof Spas, Nataliia Polietaiev, Maksym Lviv Polytech Natl Univ Dept Comp Design Syst Lvov Ukraine AGH Univ Sci & Technol Dept Power Syst & Environm Protect Facil Krakow Poland

ISBN: (纸本)9798350378634;9798350378627

We studied and compared the application areas of computer clusters with limited computing resources and well-known single-board computers. Existing solutions for calculating convolutional neural networks are analyzed. The possibility of implementing convolutional neural networks on computer clusters with limited computing resources has been established. The system implements an architecture that allows you to organize and distribute convolutional neural network calculations without dividing the convolution sphere into parts with load balancing taking into account the specifics of the data and resources processed on the cluster nodes. The developed algorithm for the application of convolutional neural networks by a computer cluster with limited computing resources makes it possible to use the developed forecasting models of convolutional neural networks to perform calculations in cyber-physical systems of the Internet of Things.

关键词： computer clusters limited computing resources convolutional neural networks load balancing algorithm Internet of Things

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Hidden Markov Model-based load balancing in Data Center Networks

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COMPUTER JOURNAL 2020年第10期63卷 1449-1462页

作者： He, Binjie Zhang, Dong Zhao, Chang Fuzhou Univ Coll Math & Comp Sci Fuzhou Fujian Peoples R China

Modern data centers provide multiple parallel paths for end-to-end communications. Recent studies have been done on how to allocate rational paths for data flows to increase the throughput of data center networks. A centralized load balancing algorithm can improve the rationality of the path selection by using path bandwidth information. However, to ensure the accuracy of the information, current centralized load balancing algorithms monitor all the link bandwidth information in the path to determine the path bandwidth. Due to the excessive link bandwidth information monitored by the controller, however, much time is consumed, which is unacceptable for modern data centers. This paper proposes an algorithm called hidden Markov Model-based load balancing (HMMLB). HMMLB utilizes the hidden Markov Model (HMM) to select paths for data flows with fewer monitored links, less time cost, and approximate the same network throughput rate as a traditional centralized load balancing algorithm. To generate HMMLB, this research first turns the problem of path selection into an HMM problem. Secondly, deploying traditional centralized load balancing algorithms in the data center topology to collect training data. Finally, training the HMM with the collected data. Through simulation experiments, this paper verifies HMMLB's effectiveness.

关键词： hidden Markov Model (HMM) load balancing algorithm data center

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Solar powered high gain DC-DC converter with FPGA controller for portable devices

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e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024年 9卷

作者： Nanjappan, Vijayalakshmi Ramasamy, Suganthi Gatto, Gianluca Kumar, Amit Department of Computer Science and Engineering (Data Science) Dayananda Sagar College of Engineering Department of Electrical and Electronic Engineering University of Cagliari

A solar-powered converter design is necessary for portable devices with increased gain and reduced ripple in overall operation. This research presents a photovoltaic-powered Field Programmable Gate Array (FPGA) based on increased gain multiple output converter design and analysis. The dynamic panel input makes it difficult to operate the load. To control and make the input static to satisfy the demand, perturb and observe with a load balancing algorithm technique are used. The converter gained output is high, and batteries are used to balance the loads when solar irradiance is low. Simulation results were carried out with the presented converter circuit that can be operated with a 12 V supply as input from a renewable power source. The output gain ratio of 14 to a minimum of 40 % duty cycle operating at a switching frequency of 20 kHz has been achieved. The proposed methodology is transferred to hardware by connecting with the reconfigurable FPGA Spartan-6 development board to manage the dynamic load control system's complex logic and high processing ability. The overall performance is compared with various pre-existing systems, tabulations are made with the analysis, and experimental results are also illustrated at the end. © 2024 The Author(s)

关键词： FPGA High Gain Dual Output (HGDO) converter load balancing algorithm MPPT algorithm Solar photo-voltaic (PV) panel

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Analysis and Development of load balancing algorithms in Cloud Computing

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INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND WEB ENGINEERING 2018年第3期13卷 35-53页

作者： Bura, Deepa Singh, Meeta Nandal, Poonam Manav Rachna Int Inst Res & Studies Dept Comp Sci & Engn Fac Engn & Technol Faridabad India

This article describes how cloud computing utilizes the benefits of web engineering and its applications by improving the performance and reducing the load on cloud providers. As the cloud is one of the emerging technology in the field of computing, it is used to provide various services to the user through the internet. One of the major concerns in cloud computing is accessibility of cloud. For estimating the availability of cloud, various load balancing algorithms are deployed in data centers of the cloud environment. load balancing is a technique that distributes a signal load across various computers for optimizing resource usage, reducing response time, etc. There are different load balancing algorithms, for performing the load distribution across various centers. This article analyses different load balancing algorithms and develop a new algorithm for efficient load balancing. The proposed load balancing algorithm utilizes the concepts of web engineering to prioritize the request of end user using parsing technique, which will assign the resources to the end users based on the priority set by the data centers.

关键词： Cloud Environment Data Centre load balancing algorithm Parsing Technique

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A Data Collection Technology of Virtual Reality Simulation System Based on load balancing 11

A Data Collection Technology of Virtual Reality Simulation S...

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11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Ma, Denghui Zuo, Xin Yue, Yuanlong Qian, Kewei China Univ Petr Coll Informat Sci & Engn Beijing Peoples R China

ISBN: (纸本)9781728118598

Aiming at the problem of high load on data collection site caused by a large amount of real-time data are stored in the database in a large-scale virtual reality simulation system. A distributed data collection scheme was proposed. Firstly, this paper introduced the overall architecture of the virtual reality simulation system for subsea production process of oil and gas and analyzed the data flow of the system. Secondly, based on this virtual reality simulation system, a distributed data collection module was designed. The whole data collection module took the distributed database as the core, and adopted an algorithm combining static load distribution and dynamic collection task scheduling to distribute data collection tasks to each site according to the performance of each index of its server. Then, in the process of data collection, the collection task part of the site with larger load was automatically distributed to the site with smaller load in real time, so that the load of each site was balanced.

关键词： component virtual reality simulation system distributed data collection load balancing algorithm

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