Relevant bibliographies by topics / Load balancing in heterogeneous networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Load balancing in heterogeneous networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Load balancing in heterogeneous networks"

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Hyukmin Son, Sanghoon Lee, Soo-Chang Kim, and Yeon-Seung Shin. "Soft Load Balancing Over Heterogeneous Wireless Networks." IEEE Transactions on Vehicular Technology 57, no. 4 (2008): 2632–38. http://dx.doi.org/10.1109/tvt.2007.912324.

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Ray, Ranada Prasad, and Lun Tang. "Hysteresis Margin and Load Balancing for Handover in Heterogeneous Network." International Journal of Future Computer and Communication 4, no. 4 (2015): 231–35. http://dx.doi.org/10.7763/ijfcc.2015.v4.391.

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Elsässer, Robert, Burkhard Monien, and Robert Preis. "Diffusion Schemes for Load Balancing on Heterogeneous Networks." Theory of Computing Systems 35, no. 3 (2002): 305–20. http://dx.doi.org/10.1007/s00224-002-1056-4.

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Aghazadeh, Yasin, Hashem Kalbkhani, Mahrokh G. Shayesteh, and Vahid Solouk. "Cell Selection for Load Balancing in Heterogeneous Networks." Wireless Personal Communications 101, no. 1 (2018): 305–23. http://dx.doi.org/10.1007/s11277-018-5689-2.

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LINCKE, SUSAN J., and CYNTHIA S. HOOD. "LOAD SHARING VERSUS SERVICE BALANCING IN INTEGRATED NETWORKS." Journal of Interconnection Networks 06, no. 01 (2005): 35–50. http://dx.doi.org/10.1142/s0219265905001307.

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As third and fourth generation cellular/wireless networks evolve, operators must learn to efficiently manage diverse services, and multiple networks consisting of varying technologies, cell sizes, and frequency bands. Architectural studies on integrated heterogeneous networks suggest that vertical handovers can be used to increase network efficiency. We propose that carefully-controlled load distribution can also promote Quality of Service (QoS) goals for the diverse services. This study compares session overflow and session placement algorithms in order to determine their effects on efficiency and QoS.
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Gandhi, Anshul, Naman Mittal, and Xi Zhang. "Optimal Load-Balancing for Heterogeneous Clusters." ACM SIGMETRICS Performance Evaluation Review 43, no. 3 (2015): 43. http://dx.doi.org/10.1145/2847220.2847232.

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Alam, Mahfooz, and Mohammad Shahid. "A Load Balancing Strategy with Migration Cost for Independent Batch of Tasks (BoT) on Heterogeneous Multiprocessor Interconnection Networks." International Journal of Applied Evolutionary Computation 8, no. 3 (2017): 74–92. http://dx.doi.org/10.4018/ijaec.2017070104.

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In high performance computing, heterogeneous Multiprocessor Interconnection Networks (MINs) are used for processing of compute intensive applications. These applications are distributed on the heterogeneous computational processors of MINs arranged in specific geometrical shape. MINs are also used for transfer task between two processors in a heterogeneous multistage network for better load balancing. Load balancing algorithm plays a vital role in interconnection network in order to minimize the load imbalance on the processors. In this paper, a Load Balancing Strategy with Migration cost (LBSM) is proposed to execute an independent batch of tasks on various heterogeneous MINs viz. MetaCube, X-Torus and Folded Crossed Cube having the objective of minimizing the load imbalance on processors. In simulation study, LBSM is compared with its previous work DLBS and superior performance is shown with the considered parameters under study. Further, the performance analysis of LBSM has been conducted on MetaCube, X-Torus and Folded Crossed Cube and results have been reported accordingly.
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Lee, Kyoung-Jae, and Han-Shin Jo. "Interference Cancellation and Load Balancing in Heterogeneous Cellular Networks." Journal of the Institute of Electronics and Information Engineers 51, no. 10 (2014): 45–49. http://dx.doi.org/10.5573/ieie.2014.51.10.045.

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Zhao, Chenggui. "Parameter-invariant models for load balancing on heterogeneous networks." Linear Algebra and its Applications 471 (April 2015): 369–82. http://dx.doi.org/10.1016/j.laa.2015.01.002.

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Ye, Qiaoyang, Beiyu Rong, Yudong Chen, Mazin Al-Shalash, Constantine Caramanis, and Jeffrey G. Andrews. "User Association for Load Balancing in Heterogeneous Cellular Networks." IEEE Transactions on Wireless Communications 12, no. 6 (2013): 2706–16. http://dx.doi.org/10.1109/twc.2013.040413.120676.

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Dissertations / Theses on the topic "Load balancing in heterogeneous networks"

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Ronoh, Kennedy, and Awoke Mengistie. "Load Balancing in Heterogeneous LTE-A Networks." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81208.

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LTE-A is the latest cellular network technology. One feature of LTE-A is the use ofheterogeneous networks (HetNets) which consist of macro-cells and low power nodes(LPNs). One of the objectives of heterogeneous networks is to increase capacity especially inhotspot areas where there is high density of users. Due to their low transmit power, very fewusers associate with LPNs and this will result in load imbalance between LPNs and macrocells.Load balancing is therefore key issue in HetNets so as to maximize cell splitting gainsand ensure even user experiences. Cell range extension (CRE) is a technique that can be usedto achieve load balancing in HetNets. Under CRE, an offset is added to LPNs during cellselection so as to expand the range of LPNs and offload more users from macro-cells toLPNs. CRE usually involves the use of uniform offsets. The use of uniform offsets results insome degree of load balancing in a HetNet which is not optimal. This arises because differentLPNs require different offsets due to varying conditions such as user distribution andpropagation environment in different hotspots. The use of cell-specific offsets is necessary forimproving the level of load balancing in HetNets. In this thesis a heuristic load balancingalgorithm that is used to assign cell-specific offsets to LPNs is designed. The algorithm makesuse of a range optimization framework which applies the concept of cell load coupling. Ourresults show that the use of the cell-specific offsets results in not only a high degree of loadbalancing as measured by Jain’s fairness index but also more even user experiences in termsof throughput.
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Jouini, Hana. "Radio Resource Management in LTE Networks : Load Balancing in Heterogeneous Cellular Networks." Thesis, Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1153/document.

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Face à la croissance exponentielle des réseaux mobiles très haut débit, les opérateurs de téléphonie mobile se sont lancé dans le déploiement des réseaux dits hiérarchiques (HetNet), composés par des sous-réseaux avec des caractéristiques divergentes en termes de type des cellules déployées et des technologies d’accès radio utilisées. Avec ce caractère hétérogène des réseaux cellulaire, l’exploitation de ces derniers devienne de plus en plus compliquée et coûteuse impliquant le déploiement, la configuration et la reconfiguration de stations de base et d’équipements de différentes caractéristiques. Ainsi, l’intégration dans les réseaux HetNet de fonctionnalités d’auto-configuration automatisant et simplifiant l’exploitation des réseaux deviennent une demande forte des opérateurs. Cette thèse a pour objectif l’étude et le développement de solutions de gestion dynamique de l’équilibrage de charges entre les différentes couches composant un même HetNet, pour une expérience utilisateur (QoE) améliorée. Dans ce contexte, une classe des algorithmes d’équilibrage de charges dite ‘équilibrage de charges par adaptation dynamique des paramètres de la procédure de handover’ est étudiée. Pour commencer, nous développons un modèle théorique basé sur des solutions et des outils de la géométrie stochastique et incorporant le caractère hétérogène des réseaux cellulaires. Ensuite nous exploitons ce modèle pour introduire des algorithmes d’adaptation des paramètres de handover basés sur la maximisation de la puissance reçue et du rapport signal/brouillage plus bruit (SINR). Nous exploitons ces résultats pour implémenter et étudier, par simulation à évènements discrets, des algorithmes d’équilibrage de charges dans le contexte des réseaux LTE HetNet auto-organisés basés sur les spécifications 3GPP. Ces travaux soulignent l’importance de l’équilibrage de charges afin de booster les performances des réseaux cellulaires en termes de débit global transmis, perte de paquets de données et utilisation optimisée des ressources radio<br>High demands on mobile networks provide a fresh opportunity to migrate towardsmulti-tier deployments, denoted as heterogeneous network (HetNet), involving a mix of cell types and radio access technologies working together seamlessly. In this context, network optimisation functionalities such as load balancing have to be properly engineered so that HetNet benefit are fully exploited. This dissertation aims to develop tractable frameworks to model and analyze load balancing dynamics while incorporating the heterogeneous nature of cellular networks. In this context we investigate and analyze a class of load balancingstrategies, namely adaptive handover based load balancing strategies. These latter were firstly studied under the general heading of stochastic networks using independent and homogeneous Poisson point processes based network model. We propose a baseline model to characterize rate coverage and handover signalling in K-tier HetNet with a general maximum power based cell association and adaptive handover strategies. Tiers differ in terms of deployment density and cells characteristics (i.e. transmit power, bandwidth, and path loss exponent). One of the main outcomes is demonstrating the impact of offloading traffic from macro- to small-tier. This impact was studied in terms of rate coverage and HO signalling. Results show that enhancement in rate coverage is penalized by HO signalling overhead. Then appropriate algorithms of LB based adaptive HO are designed and their performance is evaluated by means of extensive system level simulations. These latter are conducted in 3GPP defined scenarios, including representation of mobility procedures in both connectedstate. Simulation results show that the proposed LB algorithms ensure performance enhancement in terms of network throughput, packet loss ratio, fairness and HO signalling
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Nyembe, Wiseman Nkosingiphile. "Load balancing using cell range expansion in LTE advanced heterogeneous networks." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20338.

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The use of heterogeneous networks is on the increase, fueled by consumer demand for more data. The main objective of heterogeneous networks is to increase capacity. They offer solutions for efficient use of spectrum, load balancing and improvement of cell edge coverage amongst others. However, these solutions have inherent challenges such as inter-cell interference and poor mobility management. In heterogeneous networks there is transmit power disparity between macro cell and pico cell tiers, which causes load imbalance between the tiers. Due to the conventional user-cell association strategy, whereby users associate to a base station with the strongest received signal strength, few users associate to small cells compared to macro cells. To counter the effects of transmit power disparity, cell range expansion is used instead of the conventional strategy. The focus of our work is on load balancing using cell range expansion (CRE) and network utility optimization techniques to ensure fair sharing of load in a macro and pico cell LTE Advanced heterogeneous network. The aim is to investigate how to use an adaptive cell range expansion bias to optimize Pico cell coverage for load balancing. Reviewed literature points out several approaches to solve the load balancing problem in heterogeneous networks, which include, cell range expansion and utility function optimization. Then, we use cell range expansion, and logarithmic utility functions to design a load balancing algorithm. In the algorithm, user and base station associations are optimized by adapting CRE bias to pico base station load status. A price update mechanism based on a suboptimal solution of a network utility optimization problem is used to adapt the CRE bias. The price is derived from the load status of each pico base station. The performance of the algorithm was evaluated by means of an LTE MATLAB toolbox. Simulations were conducted according to 3GPP and ITU guidelines for modelling heterogeneous networks and propagation environment respectively. Compared to a static CRE configuration, the algorithm achieved more fairness in load distribution. Further, it achieved a better trade-off between cell edge and cell centre user throughputs. [Please note: this thesis file has been deferred until December 2016]
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Ali, Muhammad. "Load balancing in heterogeneous wireless communications networks : optimized load aware vertical handovers in satellite-terrestrial hybrid networks incorporating IEEE 802.21 media independent handover and cognitive algorithms." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/6307.

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Heterogeneous wireless networking technologies such as satellite, UMTS, WiMax and WLAN are being used to provide network access for both voice and data services. In big cities, the densely populated areas like town centres, shopping centres and train stations may have coverage of multiple wireless networks. Traditional Radio Access Technology (RAT) selection algorithms are mainly based on the 'Always Best Connected' paradigm whereby the mobile nodes are always directed towards the available network which has the strongest and fastest link. Hence a large number of mobile users may be connected to the more common UMTS while the other networks like WiMax and WLAN would be underutilised, thereby creating an unbalanced load across these different wireless networks. This high variation among the load across different co-located networks may cause congestion on overloaded network leading to high call blocking and call dropping probabilities. This can be alleviated by moving mobile users from heavily loaded networks to least loaded networks. This thesis presents a novel framework for load balancing in heterogeneous wireless networks incorporating the IEEE 802.21 Media Independent Handover (MIH). The framework comprises of novel load-aware RAT selection techniques and novel network load balancing mechanism. Three new different load balancing algorithms i.e. baseline, fuzzy and neural-fuzzy algorithms have also been presented in this thesis that are used by the framework for efficient load balancing across the different co-located wireless networks. A simulation model developed in NS2 validates the performance of the proposed load balancing framework. Different attributes like load distribution in all wireless networks, handover latencies, packet drops, throughput at mobile nodes and network utilization have been observed to evaluate the effects of load balancing using different scenarios. The simulation results indicate that with load balancing the performance efficiency improves as the overloaded situation is avoided by load balancing.
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Xie, Wanxia. "Supporting Distributed Transaction Processing Over Mobile and Heterogeneous Platforms." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/14073.

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Recent advances in pervasive computing and peer-to-peer computing have opened up vast opportunities for developing collaborative applications. To benefit from these emerging technologies, there is a need for investigating techniques and tools that will allow development and deployment of these applications on mobile and heterogeneous platforms. To meet these challenging tasks, we need to address the typical characteristics of mobile peer-to-peer systems such as frequent disconnections, frequent network partitions, and peer heterogeneity. This research focuses on developing the necessary models, techniques and algorithms that will enable us to build and deploy collaborative applications in the Internet enabled, mobile peer-to-peer environments. This dissertation proposes a multi-state transaction model and develops a quality aware transaction processing framework to incorporate quality of service with transaction processing. It proposes adaptive ACID properties and develops a quality specification language to associate a quality level with transactions. In addition, this research develops a probabilistic concurrency control mechanism and a group based transaction commit protocol for mobile peer-to-peer systems that greatly reduces blockings in transactions and improves the transaction commit ratio. To the best of our knowledge, this is the first attempt to systematically support disconnection-tolerant and partition-tolerant transaction processing. This dissertation also develops a scalable directory service called PeerDS to support the above framework. It addresses the scalability and dynamism of the directory service from two aspects: peer-to-peer and push-pull hybrid interfaces. It also addresses peer heterogeneity and develops a new technique for load balancing in the peer-to-peer system. This technique comprises an improved routing algorithm for virtualized P2P overlay networks and a generalized Top-K server selection algorithm for load balancing, which could be optimized based on multiple factors such as proximity and cost. The proposed push-pull hybrid interfaces greatly reduce the overhead of directory servers caused by frequent queries from directory clients. In order to further improve the scalability of the push interface, this dissertation also studies and evaluates different filter indexing schemes through which the interests of each update could be calculated very efficiently. This dissertation was developed in conjunction with the middleware called System on Mobile Devices (SyD).
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Skagos, P. Takis. "Load balancing in a heterogeneous, distributed environment." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq39153.pdf.

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Mohammad, Malik Adeel, and Saeed Muhammad Sheharyar. "Load Balancing in Microwave Networks." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-121698.

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Microwave links are very commonly used in carrier networks especially towards the access side. They not only ease deployment of a network but are also very cost effective. However, they bring along a multitude of challenges which are characteristic of the wireless technology. Microwave links are fickle. Being exposed to varying weather conditions, they experience bandwidth fluctuations. This is true especially in the case of links operating at higher frequencies. The unpredictable nature of microwave links makes it quite challenging to plan capacity in a network beforehand. Radio links employ adaptive modulation. They operate on a range on modulation schemes each of which offers different throughput and bit error rates. When operating at a low bit rate modulation scheme, a situation may arise where the microwave link is not able to support the entire traffic incident from the backbone network. As a result, the microwave link will suffer from congestion and packets arriving at the microwave link will eventually be dropped. The switching nodes that precede the microwave link along a communication path are unaware of the microwave link conditions and, therefore, continue to transmit traffic at a high rate. Large carrier networks cannot afford to have performance inconsistencies like data loss and increased latency. Service degradation, even for a very short duration, can have dire consequences in terms of customer dissatisfaction and revenue loss. The goal of this thesis is to use MPLS-TP Linear Protection to load balance traffic across alternative paths in a network where links use adaptive modulation. Rerouted traffic must take other paths so that the congested microwave link is completely avoided. The idea is augmented by the use of a radio condition signaling mechanism between the packet switching node and the microwave node that precede a microwave link. The microwave node sends radio condition control messages to the preceding packet switching node to rate limit traffic and avoid congestion at the microwave link. The result of this thesis work is a system prototype that achieves the stated goal. Evaluation of the prototype is carried out through graphical results, generated by a traffic generator, that advocate the correctness, performance and robustness of the system.
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Saranyan, N. "Prediction based load balancing heuristic for a heterogeneous cluster." Thesis, Indian Institute of Science, 2003. http://hdl.handle.net/2005/95.

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Load balancing has been a topic of interest in both academia and industry, mainly because of the scope for performance enhancement that is available to be exploited in many parallel and distributed processing environments. Among the many approaches that have been used to solve the load balancing problem, we find that only very few use prediction of code execution times. Our reasoning for this is that the field of code prediction is in its infancy. As of this writing, we are not aware of any prediction-based load balancing approach that uses prediction8 of code-execution times, and uses neither the information provided by the user, nor an off-line step that does the prediction, the results of which are then used at run-time. In this context, it is important to note that prior studies have indicated the feasibility of predicting the CPU requirements of general application programs. Our motivation in using prediction-based load balancing is to determine the feasibility of the approach. The reasoning behind that is the following: if prediction-based load balancing does yield good performance, then it may be worthwhile to develop a predictor that can give a rough estimate of the length of the next CPU burst of each process. While high accuracy of the predictor is not essential, the computation overhead of the predictor must be sufficiently' small, so as not to offset the gain of load balancing. As for the system, we assume a set of autonomous computers, that are connected by a fast, shared medium. The individual nodes can vary in the additional hardware and software that may be available in them. Further, we assume that the processes in the workload are sequential. The first step is to fix the parameters for our assumed predictor. Then, an algorithm that takes into account the characteristics of the predictor is proposed. There are many trade-off decisions in the design of the algorithm, including certain steps in which we have relied on trial and error method to find suitable values. The next logical step is to verify the efficiency of the algorithm. To assess its performance, we carry out event driven simulation. We also evaluate the robustness of the algorithm with respect to the characteristics of the predictor. The contribution of the thesis is as follows: It proposes a load-balancing algorithm for a heterogeneous cluster of workstations connected by a fast network. The simulation assumes that the heterogeneity is limited to variability in processor clock rates; but the algorithm can be applied when the nodes have other types of heterogeneity as well. The algorithm uses prediction of CPU burst lengths as its basic input unit. The performance of the algorithm is evaluated through event driven simulation using assumed workload distributions. The results of the simulation show that the algorithm yields a good improvement in response times over the scenario in which no load redistribution is done.
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Wallace, Brian T. "Automated system for load-balancing EBGP peers." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0008800.

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Janjic, Vladimir. "Load balancing of irregular parallel applications on heterogeneous computing environments." Thesis, University of St Andrews, 2012. http://hdl.handle.net/10023/2540.

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Large-scale heterogeneous distributed computing environments (such as Computational Grids and Clouds) offer the promise of access to a vast amount of computing resources at a relatively low cost. In order to ease the application development and deployment on such complex environments, high-level parallel programming languages exist that need to be supported by sophisticated runtime systems. One of the main problems that these runtime systems need to address is dynamic load balancing that ensures that no resources in the environment are underutilised or overloaded with work. This thesis deals with the problem of obtaining good speedups for irregular applications on heterogeneous distributed computing environments. It focuses on workstealing techniques that can be used for load balancing during the execution of irregular applications. It specifically addresses two problems that arise during work-stealing: where thieves should look for work during the application execution and how victims should respond to steal attempts. In particular, we describe and implement a new Feudal Stealing algorithm and also we describe and implement new granularity-driven task selection policies in the SCALES simulator, which is a work-stealing simulator developed for this thesis. In addition, we present the comprehensive evaluation of the Feudal Stealing algorithm and the granularity-driven task selection policies using the simulations of a large class of regular and irregular parallel applications on a wide range of computing environments. We show how the Feudal Stealing algorithm and the granularity-driven task selection policies bring significant improvements in speedups of irregular applications, compared to the state-of-the-art work-stealing algorithms. Furthermore, we also present the implementation of the task selection policies in the Grid-GUM runtime system [AZ06] for Glasgow Parallel Haskell (GpH) [THLPJ98], in addition to the implementation in SCALES, and we also present the evaluation of this implementation on a large set of synthetic applications.
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Books on the topic "Load balancing in heterogeneous networks"

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Server load balancing. O'Reilly, 2001.

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Load Balancing Servers, Firewalls, and Caches. John Wiley & Sons, Ltd., 2002.

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Bokhari, Shahid H. A network flow model for load balancing in circuit-switched multicomputers. National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1990.

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Bokhari, Shahid H. A network flow model for load balancing in circuit-switched multicomputers. National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1990.

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Kopparapu, Chandra. Load Balancing Servers, Firewalls, and Caches. Wiley & Sons, Incorporated, John, 2007.

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Asymmetric Load Balancing on a Heterogeneous Cluster of PCs. Storming Media, 1999.

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Ruud, Schoonderwoerd, and Hewlett-Packard Laboratories, eds. Ant-based load balancing in telecommunications networks. Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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Ants for load balancing in telecommunication networks. Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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Kopparapu, Chandra. Load Balancing Servers, Firewalls, * Caches. Wiley, 2002.

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Practical Load Balancing Ride The Performance Tiger. Apress, 2012.

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Book chapters on the topic "Load balancing in heterogeneous networks"

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Piórkowski, Adam, Aleksander Kempny, Adrian Hajduk, and Jacek Strzelczyk. "Load Balancing for Heterogeneous Web Servers." In Computer Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13861-4_19.

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Wu, Rihan, Songlin Sun, and Yasir Ullah. "Load Balancing and Interference Management in Heterogeneous Networks." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7521-6_6.

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Dimitrakopoulou, Katerina A., and Nikolaos M. Missirlis. "Optimal Diffusion for Load Balancing in Heterogeneous Networks." In Parallel Processing and Applied Mathematics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55224-3_21.

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Ahmed, Iffat, and M. A. Ansari. "Load Balancing in EAMC to Integrate Heterogeneous Wireless Systems." In Wireless Networks, Information Processing and Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89853-5_13.

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Song, Xin, Liangming Wu, Xin Ren, and Jing Gao. "Load Balancing Algorithm Based on Neural Network in Heterogeneous Wireless Networks." In Advances in Neural Networks – ISNN 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25393-0_51.

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Nithya, B., Harshit Mogalapalli, Kamalesh Khanna, and Sasmita Moharana. "Enhanced Honey Bee Load Balancing in Large Heterogeneous Cloud Environments." In Applied Soft Computing and Communication Networks. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3852-0_12.

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Ali, Muhammad, Prashant Pillai, Yim Fun Hu, Kai J. Xu, Yongqiang Cheng, and Anju Pillai. "Fuzzy Based CRRM for Load Balancing in Heterogeneous Wireless Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02762-3_12.

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Jouini, Hana, Mohamed Escheikh, Kamel Barkaoui, and Tahar Ezzedine. "Mobility Load Balancing over Intra-frequency Heterogeneous Networks Using Handover Adaptation." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66176-6_8.

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Kaistha, Tanu, and Kiran Ahuja. "Load Balancing in Wireless Heterogeneous Network with Artificial Intelligence." In Artificial Intelligence. CRC Press, 2021. http://dx.doi.org/10.1201/9781003095910-13.

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Sakat, Raid, Raed Saadoon, and Maysam Abbod. "Load Balancing Using Neural Networks Approach for Assisted Content Delivery in Heterogeneous Network." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29513-4_39.

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Conference papers on the topic "Load balancing in heterogeneous networks"

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Kreuger, Per, Olof Gornerup, Daniel Gillblad, Tomas Lundborg, Diarmuid Corcoran, and Andreas Ermedahl. "Autonomous Load Balancing of Heterogeneous Networks." In 2015 IEEE 81st Vehicular Technology Conference (VTC Spring). IEEE, 2015. http://dx.doi.org/10.1109/vtcspring.2015.7145712.

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Elsässer, Robert, Burkhard Monien, and Robert Preis. "Diffusive load balancing schemes on heterogeneous networks." In the twelfth annual ACM symposium. ACM Press, 2000. http://dx.doi.org/10.1145/341800.341805.

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Rakotomanana, Edenalisoa, and Francois Gagnon. "Fair Load Balancing in Heterogeneous Cellular Networks." In 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB). IEEE, 2015. http://dx.doi.org/10.1109/icuwb.2015.7324453.

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Delgado, Oscar, and Fabrice Labeau. "Uplink Load Balancing over Multipath Heterogeneous Wireless Networks." In 2015 IEEE 81st Vehicular Technology Conference (VTC Spring). IEEE, 2015. http://dx.doi.org/10.1109/vtcspring.2015.7146148.

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Wei, Wenhong, and Yong Li. "Load Balancing on Heterogeneous Biswapped Network." In 2010 Third International Symposiums on Electronic Commerce and Security (ISECS). IEEE, 2010. http://dx.doi.org/10.1109/isecs.2010.62.

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Chou, Guan-Ting, Kuang-Hao Stanley Liu, and Szu-Lin Su. "Load-based cell association for load balancing in heterogeneous cellular networks." In 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2015. http://dx.doi.org/10.1109/pimrc.2015.7343569.

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Fenton, Michael, David Lynch, Stepan Kucera, Holger Claussen, and Michael O'Neill. "Load balancing in heterogeneous networks using an evolutionary algorithm." In 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. http://dx.doi.org/10.1109/cec.2015.7256876.

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Tsao, Shiao-Li, Chen-Wei Wang, Yun-Ciou Lin, and Ray-Guang Cheng. "A dynamic load-balancing scheme for heterogeneous wireless networks." In 2014 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2014. http://dx.doi.org/10.1109/wcnc.2014.6952997.

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Louha, Kuheli, Jung Hyun Jun, and Dharma P. Agrawal. "Exploring Load Balancing in Heterogeneous Networks by Rate Distribution." In 2008 IEEE International Performance Computing and Communications Conference (IPCCC). IEEE, 2008. http://dx.doi.org/10.1109/pccc.2008.4745074.

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Franceschelli, Mauro, Alessandro Giua, and Carla Seatzu. "Load balancing over heterogeneous networks with gossip-based algorithms." In 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5160452.

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