Relevant bibliographies by topics / Cloud Load Balancing

Contents

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

Academic literature on the topic 'Cloud Load Balancing'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Cloud Load Balancing.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Cloud Load Balancing"

1

Amandeep, Kaur, and Nagpal Pooja. "A SURVEY ON LOAD BALANCING IN CLOUD COMPUTING USING ARTIFICIAL INTELLIGENCE TECHNIQUES." International Journal of Multidisciplinary Research and Modern Education 2, no. 2 (2016): 418–23. https://doi.org/10.5281/zenodo.192681.

Full text
Abstract:
<em>Since its inception, the cloud computing paradigm has gained the widespread popularity in the industry and academia. The economical, scalable, expedient, ubiquitous, and on-demand access to shared resources are some of the characteristics of the cloud that have resulted in shifting the business processes to the cloud.</em><em> The cloud computing attracts the attention of research community due to its potential to provide tremendous benefits to the industry and the community. But with the increasing demand of the cloud computing, there are some challenges also. The main cloud computing cha
APA, Harvard, Vancouver, ISO, and other styles
2

TV, Rashmi. "Load Balancing using Genetic Algorithm with Cloud SIM Simulator in Open Source." International Journal of Innovative Research in Information Security 10, no. 04 (2024): 162–67. http://dx.doi.org/10.26562/ijiris.2024.v1004.08.

Full text
Abstract:
Clouds are highly configurable infrastructure that offer software and platforms as a service, enabling users to subscribe for the services they need using a pay-as-you-go model. The popularity of cloud computing is growing due to its straightforward, service-oriented architecture. Every day, more and more people are using the cloud. Cloud computing is typically built on data centres with the capacity to support huge numbers of users. The ability of clouds to manage loads determines how reliable they are in order to address this issue; clouds need to include a load balancing system. In cloud co
APA, Harvard, Vancouver, ISO, and other styles
3

Kumar, Ashutosh. "A Literature Survey on Algorithms for the Optimal Load Balancing in Cloud Computing Environments." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 168–72. http://dx.doi.org/10.22214/ijraset.2022.42845.

Full text
Abstract:
Abstract: This paper provides a survey of the existing literature and research carried out in the area of Optimal load balancing in servers. Load balancing in cloud computing is one of the important aspects for efficient delivery of resources and computing . The process of distributing workloads and computing resources in a cloud computing environment is cloud load balancing. It allows enterprises to manage application or workload demands by allocating resources among multiple computers, networks or servers. Hosting the distribution of workload traffic and demands that reside over the internet
APA, Harvard, Vancouver, ISO, and other styles
4

Badshaha, P. Mulla, Rama Krishna C., and Kumar Tickoo Raj. "Load Balancing Algorithm for Efficient VM Allocation in Heterogeneous Cloud." International Journal of Computer Networks & Communications (IJCNC) 12, no. 1 (2020): 83–96. https://doi.org/10.5281/zenodo.3712124.

Full text
Abstract:
Cloud computing is a growing service computing trend that offers users a range of on-demand variety of services from applications, processing capability, and storage based on the concept of the &ldquo;Pay-As-PerUse&rdquo; model. Organizations from every sector are now realizing the benefits offered by cloud computing technology and moving towards the cloud. Cloud computing offers numerous advantages over conventional computing. However, it still faces a few challenges such as resource utilization in a cloud data centre and quality of service to the end-users due to improper workload balance am
APA, Harvard, Vancouver, ISO, and other styles
5

Huang, Weihua, Zhong Ma, Xinfa Dai, Mingdi Xu, and Yi Gao. "Fuzzy Clustering with Feature Weight Preferences for Load Balancing in Cloud." International Journal of Software Engineering and Knowledge Engineering 28, no. 05 (2018): 593–617. http://dx.doi.org/10.1142/s021819401850016x.

Full text
Abstract:
Load balancing, which redistributes dynamic workloads across computing nodes within cloud to improve resource utilization, is one of the main challenges in cloud computing system. Most existing rule-based load balancing algorithms failed to effectively fuse load data of multi-class system resources. The strategies they used for balancing loads were far from optimum since these methods were essentially performed in a combined way according to load state. In this work, a fuzzy clustering method with feature weight preferences is presented to overcome the load balancing problem for multi-class sy
APA, Harvard, Vancouver, ISO, and other styles
6

Thapliyal, Nitin, and Priti Dimri. "Load Balancing in Cloud Computing Based on Honey Bee Foraging Behavior and Load Balance Min-Min Scheduling Algorithm." International Journal of Electrical and Electronics Research 10, no. 1 (2022): 1–6. http://dx.doi.org/10.37391/ijeer.100101.

Full text
Abstract:
Cloud computing relies on the collection and distribution of services from internet-based data centers. With the large resource pool available in internet wide range of users are accessing the cloud. Load balance is important feature involving resource allocation to prevent overloading of any system or optimal use of resources. Major load in cloud network are concerned with CPU, memory and network. This cloud computing aspect has not yet earned too much coverage. Although load balancing is an important feature for cloud computing, concurrent computing etc. In these areas, several algorithms we
APA, Harvard, Vancouver, ISO, and other styles
7

Jittawiriyanukoon, Chanintorn. "Cloud computing based load balancing algorithm for erlang concurrent traffic." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 2 (2020): 1109. http://dx.doi.org/10.11591/ijeecs.v17.i2.pp1109-1116.

Full text
Abstract:
&lt;p&gt;The distribution of scheduler from user inquiries in the clouds is complex. In keeping up with the cloud computing environment and the inquirers, the clouds meet with some problematic load balancing complications as an improving load balancing tool induces the rigorous efficiency of the cloud based website’s user access. Overloaded or underloaded conditions originate processing catastrophe regarding the prolonged execution time, bandwidth hog, malfunction, and etc. Besides, to manipulate Erlang concurrent tasks is another skyward situation. Hence, the load balancing is obliged to exha
APA, Harvard, Vancouver, ISO, and other styles
8

Chanintorn, Jittawiriyanukoon. "Cloud computing based load balancing algorithm for erlang concurrent traffic." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 2 (2020): 1109–16. https://doi.org/10.11591/ijeecs.v17.i2.pp1109-1116.

Full text
Abstract:
The distribution of scheduler from user inquiries in the clouds is complex. In keeping up with the cloud computing environment and the inquirers, the clouds meet with some problematic load balancing complications as an improving load balancing tool induces the rigorous efficiency of the cloud based website&rsquo;s user access. Overloaded or underloaded conditions originate processing catastrophe regarding the prolonged execution time, bandwidth hog, malfunction, and etc. Besides, to manipulate Erlang concurrent tasks is another skyward situation. Hence, the load balancing is obliged to exhaust
APA, Harvard, Vancouver, ISO, and other styles
9

M, DuraiPandian. "SURVEY ON VIRTUAL LOAD BALANCING ARCHITECTURES IN MOBILE CLOUD." IRO Journal on Sustainable Wireless Systems 01, no. 03 (2019): 161–75. http://dx.doi.org/10.36548/jsws.2019.3.003.

Full text
Abstract:
The mobile cloud computing, that enables the mobile device application to be hosted, equipped and constructed by the cloud-computing has become more prominent among wide range of application and the concerns that range either in the small-scale or the large-scale. This lead to the overcrowded accessing of the mobile clouds which lead to insufficiency of resources and the latency in the service provisioning. The possible researches emerged with the solutions of load balancing, but the in capabilities in the traditional load balancing developed were in compatible with the mobile cloud computing.
APA, Harvard, Vancouver, ISO, and other styles
10

Gupta, Punit, and Deepika Agrawal. "Trusted Cloud Platform for Cloud Infrastructure." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 8 (2013): 1884–91. http://dx.doi.org/10.24297/ijct.v10i8.1473.

Full text
Abstract:
Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values, trust bas
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Cloud Load Balancing"

1

Do, Manh Duc. "Green Cloud - Load Balancing, Load Consolidation using VM Migration." TopSCHOLAR®, 2017. https://digitalcommons.wku.edu/theses/2059.

Full text
Abstract:
Recently, cloud computing is a new trend emerging in computer technology with a massive demand from the clients. To meet all requirements, a lot of cloud data centers have been constructed since 2008 when Amazon published their cloud service. The rapidly growing data center leads to the consumption of a tremendous amount of energy even cloud computing has better improved in the performance and energy consumption, but cloud data centers still absorb an immense amount of energy. To raise company’s income annually, the cloud providers start considering green cloud concepts which gives an idea abo
APA, Harvard, Vancouver, ISO, and other styles
2

Tomar, Mohit. "Comparative analysis of load balancing algorithms in cloud computing." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10262288.

Full text
Abstract:
<p> Cloud computing is a novel trend emerging in Information Technology (IT) environments with immense infrastructure and resources. An integral aspect of cloud computing is load balancing. Efficient load balancing in cloud computing ensures effective resource utilization. There are two types of load balancers: the static load balancer and the dynamic load balancer. While both types of load balancers are widely used in the industry, they differ in performance. In this project, the performances of the most widely used static and dynamic load balancers, namely the round robin and the throttled,
APA, Harvard, Vancouver, ISO, and other styles
3

Federici, Eros. "Tecniche Cloud Avanzate per Adaptive Hadoop Load Balancing tramite Sahara." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10541/.

Full text
Abstract:
Ogni giorno vengono generati grandi moli di dati attraverso sorgenti diverse. Questi dati, chiamati Big Data, sono attualmente oggetto di forte interesse nel settore IT (Information Technology). I processi digitalizzati, le interazioni sui social media, i sensori ed i sistemi mobili, che utilizziamo quotidianamente, sono solo un piccolo sottoinsieme di tutte le fonti che contribuiscono alla produzione di questi dati. Per poter analizzare ed estrarre informazioni da questi grandi volumi di dati, tante sono le tecnologie che sono state sviluppate. Molte di queste sfruttano approcci distribuiti e
APA, Harvard, Vancouver, ISO, and other styles
4

Thiam, Cheikhou. "Anti load-balancing for energy-aware distributed scheduling of virtual machines." Toulouse 3, 2014. http://thesesups.ups-tlse.fr/2441/.

Full text
Abstract:
La multiplication de l'informatique en nuage (Cloud) a abouti à la création de centres de données dans le monde entier. Le Cloud contient des milliers de nœuds de calcul. Cependant, les centres de données consomment d'énorme quantités d'énergie à travers le monde estimées à plus de 1,5 % de la consommation mondiale d'électricité et devrait continuer à croître. Une problématique habituellement étudiée dans les systèmes distribués est de répartir équitablement la charge. Mais lorsque l'objectif est de réduire la consommation électrique, ce type d'algorithmes peut mener à avoir des serveurs forte
APA, Harvard, Vancouver, ISO, and other styles
5

Bicer, Tekin. "Supporting Fault Tolerance and Dynamic Load Balancing in FREERIDE-G." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1267638588.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Farrahi, Moghaddam Fereydoun. "Carbon-profit-aware job scheduling and load balancing in geographically distributed cloud for HPC and web applications." Mémoire, École de technologie supérieure, 2014. http://espace.etsmtl.ca/1274/1/FARRAHI_MOGHADDAM_Fereydoun.pdf.

Full text
Abstract:
Cette thèse présente deux mécanismes de contrôle en fonction des profits et des émissions de carbone, pour améliorer les performances d’ordonnancement de tâches et de répartition de charge, dans un système interconnecté de centres de données réparti géographiquement pour les applications HPC et web. Ces mécanismes de contrôle sont constitués de trois composants primaires qui effectuent: 1) la mesure et la modélisation, 2) la planification de tâches, et 3) l’exécution du plan. La partie de mesure et modélisation fournissent des informations sur la consommation d’énergie et l’empreinte carbone a
APA, Harvard, Vancouver, ISO, and other styles
7

Al-Refai, Ali, and Srinivasreddy Pandiri. "Cloud Computing : Trends and Performance Issues." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3672.

Full text
Abstract:
Context: Cloud Computing is a very fascinating concept these days, it is attracting so many organiza-tions to move their utilities and applications into a dedicated data centers, and so it can be accessed from the Internet. This allows the users to focus solely on their businesses while Cloud Computing providers handle the technology. Choosing a best provider is a challenge for organizations that are willing to step into the Cloud Computing world. A single cloud center generally could not deliver large scale of resources for the cloud tenants; therefore, multiple cloud centers need to collabor
APA, Harvard, Vancouver, ISO, and other styles
8

Mohammed, Bashir. "A Framework for Efficient Management of Fault Tolerance in Cloud Data Centres and High-Performance Computing Systems: An Investigation and Performance analysis of a Cloud Based Virtual Machine Success and Failure Rate in a typical Cloud Computing Environment and Prediction Methods." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/17400.

Full text
Abstract:
Cloud computing is increasingly attracting huge attention both in academic research and industry initiatives and has been widely used to solve advanced computation problem. As cloud datacentres continue to grow in scale and complexity, the risk of failure of Virtual Machines (VM) and hosts running several jobs and processing large amount of user request increases and consequently becomes even more difficult to predict potential failures within a datacentre. However, even though fault tolerance continues to be an issue of growing concern in cloud and HPC systems, mitigating the impact of failur
APA, Harvard, Vancouver, ISO, and other styles
9

Turner, Andrew J. "Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/289.

Full text
Abstract:
In this thesis we propose a cloud Input Shaper and Dynamic Resource Controller to provide application-level quality of service guarantees in cloud computing environments. The Input Shaper splits the cloud into two areas: one for shaped traffic that achieves quality of service targets, and one for overflow traffic that may not achieve the targets. The Dynamic Resource Controller profiles customers’ applications, then calculates and allocates the resources required by the applications to achieve given quality of service targets. The Input Shaper then shapes the rate of incoming requests to ensur
APA, Harvard, Vancouver, ISO, and other styles
10

Lefebvre, Sylvain. "Services de répartition de charge pour le Cloud : application au traitement de données multimédia." Phd thesis, Conservatoire national des arts et metiers - CNAM, 2013. http://tel.archives-ouvertes.fr/tel-01062823.

Full text
Abstract:
Le travail de recherche mené dans cette thèse consiste à développer de nouveaux algorithmes de répartition de charge pour les systèmes de traitement de données massives. Le premier algorithme mis au point, nommé "WACA" (Workload and Cache Aware Algorithm) améliore le temps d'exécution des traitements en se basant sur des résumés de contenus. Le second algorithme, appelé "CAWA" (Cost Aware Algorithm) tire partie de l'information de coût disponible dans les plateformes de type "Cloud Computing" en étudiant l'historique d'exécution des services.L'évaluation de ces algorithmes a nécessité le dével
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Cloud Load Balancing"

1

K, Kokula Krishna Hari, ed. An Efficient Load Balancing Algorithm for virtualized Cloud Data Centers: ICCCEG 2014. Association of Scientists, Developers and Faculties, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Peitek, Norman. Algorithms for Energy Efficient Load Balancing in Cloud Environments. GRIN Verlag GmbH, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Aslanzadeh, Shahrzad. Chapter Addressing Load balancing Issues Related to Elastic Cloud Using Biomimetic Algorithms. UTS ePRESS, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Manisekaran, Pradheep. Novel Approach to Enhance the Performance of Cloud Computing File System Using Load Balancing Algorithm. GRIN Verlag GmbH, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Cloud Load Balancing"

1

Kumar, Jitendra, Ashutosh Kumar Singh, Anand Mohan, and Rajkumar Buyya. "Load Balancing." In Machine Learning for Cloud Management. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003110101-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Cabianca, Dario. "Configuring Load Balancing." In Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9354-6_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Membrey, Peter, David Hows, and Eelco Plugge. "Load Balancing in the Cloud." In Practical Load Balancing. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-3681-8_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Khare, Shivangi, Uday Chourasia, and Anjna Jayant Deen. "Load Balancing in Cloud Computing." In Proceedings of the International Conference on Cognitive and Intelligent Computing. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2350-0_58.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Iuhasz, Gabriel, Pooyan Jamshidi, Weikun Wang, and Giuliano Casale. "Load Balancing for Multi-cloud." In Model-Driven Development and Operation of Multi-Cloud Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46031-4_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tasneem, Rayeesa, and M. A. Jabbar. "An Insight into Load Balancing in Cloud Computing." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_113.

Full text
Abstract:
AbstractCloud Computing has emerged as a High-performance computing model providing on-demand computing resources as services via the Internet. Services include applications, storage, processing power, allocation of resources and many more. It is a pay-per-use model. Despite of providing various services, it is also experiencing numerous challenges like data security, optimized resource utilization, performance management, cost management, Cloud migration and many more. Among all, Load Balancing is another key challenge faced by Cloud. Effective load balancing mechanism will optimize the utili
APA, Harvard, Vancouver, ISO, and other styles
7

Gilani, Wajahat Ali, Nadeem Javaid, Muhammad KaleemUllah Khan, Hammad Maqbool, Sajid Ali, and Danish Majeed Qureshi. "Optimized Load Balancing Using Cloud Computing." In Advances in Network-Based Information Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98530-5_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Krishna Sowjanya, K., and S. K. Mouleeswaran. "Load Balancing Algorithms in Cloud Computing." In Proceedings of the International Conference on Cognitive and Intelligent Computing. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-2358-6_45.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Mathur, Himanshu, Satya Narayan Tazi, and R. K. Bayal. "Cloud Load Balancing and Resource Allocation." In Advances in Intelligent Systems and Computing. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2523-2_72.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pradhan, Arabinda, Sukant Kishoro Bisoy, and Pradeep Kumar Mallick. "Load Balancing in Cloud Computing: Survey." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2305-2_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Cloud Load Balancing"

1

Panda, Subramanyam, Sukant Kishoro Bisoy, Rohit Kumar, Maasoom Barik, and Pritam Kumar Jena. "Load Balancing in Cloud Computing." In 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). IEEE, 2024. http://dx.doi.org/10.1109/icspcre62303.2024.10674973.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dash, Sheetal, Tanusha Hande, Trisha Hegde, and Kumud Wasnik. "GenBee: Hybridization for Cloud Load Balancing." In 2024 Asian Conference on Intelligent Technologies (ACOIT). IEEE, 2024. https://doi.org/10.1109/acoit62457.2024.10939553.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ramya, R. S., R. S. Vishnu Durai, R. Vijayakumar, and M. DhivyaShree. "Optimal Divisible Load Scheduling for Load Balancing in Cloud Computing." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10689908.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Rao, P. Hanumantha, P. S. Rajakumar, and S. Geetha. "Load Balancing Issues and Challenges in Cloud Environment." In 2024 International Conference on Electronic Systems and Intelligent Computing (ICESIC). IEEE, 2024. https://doi.org/10.1109/icesic61777.2024.10846533.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Rai, Himanshu, Sanjeev Kumar Ojha, and Alexey Nazarov. "Cloud Load Balancing Algorithm." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362810.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhu, Xiaoke, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou, and Jing He. "DLB: Deep Learning Based Load Balancing." In 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE, 2021. http://dx.doi.org/10.1109/cloud53861.2021.00083.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Chen, Chen, Qizhen Weng, Wei Wang, Baochun Li, and Bo Li. "Semi-dynamic load balancing." In SoCC '20: ACM Symposium on Cloud Computing. ACM, 2020. http://dx.doi.org/10.1145/3419111.3421299.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Lee, Rich, and Bingchiang Jeng. "Load-Balancing Tactics in Cloud." In 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2011. http://dx.doi.org/10.1109/cyberc.2011.79.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Volkova, Violetta N., Liudmila V. Chemenkaya, Elena N. Desyatirikova, Moussa Hajali, Almothana Khodar, and Alkaadi Osama. "Load balancing in cloud computing." In 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2018. http://dx.doi.org/10.1109/eiconrus.2018.8317113.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hong Liu, Johnson Thomas, and Praveen Khethavath. "Moving Target with Load Balancing in P2P Cloud." In 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.98.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Cloud Load Balancing' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography