Relevant bibliographies by topics / Datacenter Virtualization

Contents

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

Academic literature on the topic 'Datacenter Virtualization'

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

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Journal articles on the topic "Datacenter Virtualization"

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Hassan, Heba, Amr Al-Awamry, and Mohammed Abdelhalim. "Dragonfly addressing model for software defined networks based on datacenters." International Journal of Engineering & Technology 7, no. 2 (2018): 657. http://dx.doi.org/10.14419/ijet.v7i2.9769.

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With the advancement of technology, virtualization has become very important for Information Technology (IT) experts. Network Functions Virtualization (NFV) means to address issues resulting from complex hardware-based appliances by developing standard IT virtualization technologies. Software Defined Networking (SDN) solidifies the advantages of datacenter virtualization, increases resource flexibility and utilization, and reduces infrastructure costs and overhead. Datacenter networks should have the ability to guarantee high throughput and resiliency. For such reasons, typical datacenter netw
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Da Silva, Luana Barreto, Leonardo Henrique da Silva Bomfim, George Leite Junior, and Marcelino Nascimento De Oliveira. "TI Verde: Uma Proposta de Economia Energética usando Virtualização." Interfaces Científicas - Exatas e Tecnológicas 1, no. 2 (2015): 57–74. http://dx.doi.org/10.17564/2359-4942.2015v1n2p57-74.

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Information Technology (IT) is one of the main responsable for enviroment troubles. This is a challenge to be overcome by IT Managers to reduce the cust and the maintenance of datacenteres. To promote the user of computer resources on a efficient and less harmfull to enviroment, the Green IT method propose sustainable ways to support a datacenter. One of those ways is the datacenters virtualization, which means that one physical server has virtual ones, working as singles server. It is important to analyze the viability of keep a virtualized datacenter by the analysis of availability of the se
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Barthwal, Varun, Manmohan Singh Rauthan, and Rohan Varma. "SMA-LinR: An Energy and SLA-Aware Autonomous Management of Virtual Machines." International Journal of Cloud Applications and Computing 12, no. 1 (2022): 1–24. http://dx.doi.org/10.4018/ijcac.2022010103.

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Cloud datacenters consume enormous energy and generate heat, which affects the environment. Hence, there must be proper management of resources in the datacenter for optimum usage of energy. Virtualization enabled computing improves the performance of the datacenters in terms of these parameters. Therefore, Virtual Machines (VMs) management is a required activity in the datacenter, which selects the VMs from the overloaded host for migration, VM migration from the underutilized host, and VM placement in the suitable host. In this paper, a method (SMA-LinR) has been developed using the Simple M
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Raja, Venkata Sandeep Reddy Davu. "The Impact of Edge Computing on Datacenter Virtualization." European Journal of Advances in Engineering and Technology 7, no. 10 (2020): 106–12. https://doi.org/10.5281/zenodo.13828641.

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Datacenter virtualisation and edge computing have transformed data processing and resource management due to digital technologies. Edge computing moves computational resources closer to data output to meet the growing demand for low-latency, real-time processing. Smart city, autonomous car, and industrial internet of things initiatives value immediate data processing. Data centres use virtualised infrastructures instead of real servers for efficiency, scalability, and resource optimisation. Modern data centres employ virtualisation to divide hardware into virtual resources. Reduce costs and re
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Hu, Siquan, Xinyu Wang, and Zhiguo Shi. "A Software Defined Network Scheme for Intra Datacenter Network Based on Fat-Tree Topology." Journal of Physics: Conference Series 2025, no. 1 (2021): 012106. http://dx.doi.org/10.1088/1742-6596/2025/1/012106.

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Abstract Nowadays datacenters face a big challenge, because the development of cloud services requests a large amount of capital input, high maintenance skills and cost. The major disadvantages of current datacenter network include the high cost of equipment and maintenance, QoS, failure recovery time, network virtualization etc. In this paper, we proposed a software defined datacenter network. The programmable controller is responsible for the management of the traffic scheduling including topology discovery, routing and Quality of Service. The SDN is based on Fat-tree network architecture an
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Kadu, Mr N. B. "Availability-Aware Multi-Objective Cluster Allocation Optimization in Energy-Efficient Datacenters." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3498–507. http://dx.doi.org/10.22214/ijraset.2021.35944.

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With increasing network virtualization, data centre's workloads are modified in depth to serve various service-oriented applications, often defined by a time-bound service response, which, in turn, places a heavy demand on data center networks. Network virtualization in computing is the technique of integrating network resources and network functions in hardware and software into one virtual network, the software-based administration entity. Number of people ask for the server simultaneously, thereby slowing down the service.It is so costly to buy a new server that we developed a virtual syste
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Chang, Ming, and Min Zhang. "Architecture Design of Datacenter for Cloud English Education Platform." International Journal of Emerging Technologies in Learning (iJET) 14, no. 01 (2019): 24. http://dx.doi.org/10.3991/ijet.v14i01.9464.

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Considering the importance of datacenter to cloud English edu-cation platform (CCEP), this paper designs a novel datacenter for the CEEP which realizes resource pooling on the storage, network, computation and other infrastructures through integration of virtualization technology. Meanwhile, the intelligent, automatic and centralized service orchestration and scheduling man-agement were implemented via the global CEEP system. On this basis, a com-plete datacenter solution was developed for the CEEP. Through performance analysis, it is concluded that the solution can significantly improve the e
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Deka, Ganesh Chandra. "Cost-Benefit Analysis of Datacenter Consolidation Using Virtualization." IT Professional 16, no. 6 (2014): 54–62. http://dx.doi.org/10.1109/mitp.2014.89.

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Shukur, Hanan, Subhi Zeebaree, Rizgar Zebari, Diyar Zeebaree, Omar Ahmed, and Azar Salih. "Cloud Computing Virtualization of Resources Allocation for Distributed Systems." Journal of Applied Science and Technology Trends 1, no. 3 (2020): 98–105. http://dx.doi.org/10.38094/jastt1331.

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Cloud computing is a new technology which managed by a third party “cloud provider” to provide the clients with services anywhere, at any time, and under various circumstances. In order to provide clients with cloud resources and satisfy their needs, cloud computing employs virtualization and resource provisioning techniques. The process of providing clients with shared virtualized resources (hardware, software, and platform) is a big challenge for the cloud provider because of over-provision and under-provision problems. Therefore, this paper highlighted some proposed approaches and schedulin
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R, Anitha, and C. Vidya Raj. "A Comprehensive Survey on SLA Compliant Energy Aware Resource Allocation in Cloud Datacenters." International Journal of Emerging Research in Management and Technology 6, no. 6 (2018): 335. http://dx.doi.org/10.23956/ijermt.v6i6.290.

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Cloud Computing has achieved immense popularity due to its unmatched benefits and characteristics. With its increasing popularity and round the clock demand, cloud based data centers often suffer with problems due to over-usage of resources or under-usage of capable servers that ultimately leads to wastage of energy and overall elevated cost of operation. Virtualization plays a key role in providing cost effective solution to service users. But on datacenters, load balancing and scheduling techniques remain inevitable to provide better Quality of Service to the service users and maintenance of
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Dissertations / Theses on the topic "Datacenter Virtualization"

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SILVA, Lucas do Rego Barros Brasilino da. "HOTOM: a SDN based network virtualization for datacenters." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/20211.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-08-03T12:15:02Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) MSc_LucasBrasilino_Final_1.pdf: 2345785 bytes, checksum: 9f48d20f1b438a184562636ba3112aeb (MD5)<br>Made available in DSpace on 2017-08-03T12:15:02Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) MSc_LucasBrasilino_Final_1.pdf: 2345785 bytes, checksum: 9f48d20f1b438a184562636ba3112aeb (MD5) Previous issue date: 2015-07-27<br>Although datacenter’s ser
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Bard, Robin, and Simon Banasik. "En prestanda- och funktionsanalys av Hypervisors för molnbaserade datacenter." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20491.

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I dagens informationssamhälle pågår en växande trend av molnbaserade tjänster. Vid implementering av molnbaserade tjänster används metoden Virtualisering. Denna metod minskar behovet av antal fysiska datorsystem i ett datacenter. Vilket har en positiv miljöpåverkan eftersom energikonsumtionen minskar när hårdvaruresurser kan utnyttjas till sin fulla kapacitet. Molnbaserade tjänster skapar samhällsnytta då nya aktörer utan teknisk bakgrundskunskap snabbt kan komma igång med verksamhetsberoende tjänster. För tillämpning av Virtualisering används en så kallad Hypervisor vars uppgift är att distri
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Melo, Marcelo Morais de. "Aux?lio ? tomada de decis?o no processo de migra??o para computa??o em nuvem." Pontif?cia Universidade Cat?lica de Campinas, 2014. http://tede.bibliotecadigital.puc-campinas.edu.br:8080/jspui/handle/tede/546.

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Made available in DSpace on 2016-04-04T18:31:40Z (GMT). No. of bitstreams: 1 Marcelo Morais de Melo.pdf: 1968527 bytes, checksum: 2f983f1a8c27eb9ddc9cc2853cc2f95f (MD5) Previous issue date: 2014-03-25<br>Many companies have been attracted by Cloud Computing solutions due to the promises such as high quality services, low cost, high availability, and self-service provisioning. However, a very careful implementation plan should be followed in order to achieve the company goals. This plan should evaluate the company real needs to choose the best datacenter model. The possibilities are: a trad
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Pagola, Moledo Santiago. "Vendor-Independent Software-Defined Networking : Beyond The Hype." Thesis, Linköpings universitet, Databas och informationsteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157456.

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Software-Defined Networking (SDN) is an emerging trend in networking that offers a number of advantages such as smoother network management over traditional networks. By decoupling the control and data planes from network elements, a huge amount of new opportunities arise, especially in network virtualization. In cloud datacenters, where virtualization plays a fundamental role, SDN presents itself as the perfect candidate to ease infrastructure management and to ensure correct operation. Even if the original SDN ideology advocates openness of source and interfaces, multiple networking vendors
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Nitu, Vlad-Tiberiu. "Improving energy efficiency of virtualized datacenters." Phd thesis, Toulouse, INPT, 2018. http://oatao.univ-toulouse.fr/23799/1/NITU_Vlad%20Tiberiu.pdf.

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Nowadays, many organizations choose to increasingly implement the cloud computing approach. More specifically, as customers, these organizations are outsourcing the management of their physical infrastructure to data centers (or cloud computing platforms). Energy consumption is a primary concern for datacenter (DC) management. Its cost represents about 80% of the total cost of ownership and it is estimated that in 2020, the US DCs alone will spend about $13 billion on energy bills. Generally, the datacenter servers are manufactured in such a way that they achieve high energy efficiency at high
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Dumont, Frédéric. "Analyses et préconisations pour les centres de données virtualisés." Thesis, Nantes, Ecole des Mines, 2016. http://www.theses.fr/2016EMNA0249/document.

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Cette thèse présente deux contributions. La première contribution consiste en l’étude des métriques de performance permettant de superviser l’activité des serveurs physiques et des machines virtuelles s’exécutant sur les hyperviseurs VMware et KVM. Cette étude met en avant les compteurs clés et propose des analyses avancées dans l’objectif de détecter ou prévenir d’anomalies liées aux quatreres sources principales d’un centre de données : le processeur, la mémoire, le disque et le réseau. La seconde contribution porte sur un outil pour la détection de machines virtuelles à comportements pré-dé
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Mahadevamangalam, Srivasthav. "Energy-aware adaptation in Cloud datacenters." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17373.

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Context: Cloud computing is providing services and resources to customers based on pay-per-use. As the services increasing, Cloud computing using a vast number of data centers like thousands of data centers which consumes high energy. The power consumption for cooling the data centers is very high. So, recent research going on to implement the best model to reduce the energy consumption by the data centers. This process of minimizing the energy consumption can be done using dynamic Virtual Machine Consolidation (VM Consolidation) in which there will be a migration of VMs from one host to anoth
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Turull, Daniel. "Network virtualization as enabler for cloud networking." Licentiate thesis, KTH, Network Systems Laboratory (NS Lab), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185454.

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The Internet has exponentially grown and now it is part of our everyday life. Internet services and applications rely on back-end servers that are deployed on local servers and data centers. With the growing use of data centers and cloud computing, the locations of these servers have been externalized and centralized, taking advantage of economies of scale. However, some applications need to define complex network topologies and require more than simple connectivity to the remote sites. Therefore, the network part of cloud computing, what is called cloud networking, needs to be improved and s
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Kesavan, Mukil. "Scalable and robust compute capacity multiplexing in virtualized datacenters." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52229.

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Multi-tenant cloud computing datacenters run diverse workloads, inside virtual machines (VMs), with time varying resource demands. Compute capacity multiplexing systems dynamically manage the placement of VMs on physical machines to ensure that their resource demands are always met while simultaneously optimizing on the total datacenter compute capacity being used. In essence, they give the cloud its fundamental property of being able to dynamically expand and contract resources required on-demand. At large scale datacenters though there are two practical realities that designers of compute c
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Amaral, Marcelo. "Improving resource efficiency in virtualized datacenters." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/666753.

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In recent years there has been an extraordinary growth of the Internet of Things (IoT) and its protocols. The increasing diffusion of electronic devices with identification, computing and communication capabilities is laying ground for the emergence of a highly distributed service and networking environment. The above mentioned situation implies that there is an increasing demand for advanced IoT data management and processing platforms. Such platforms require support for multiple protocols at the edge for extended connectivity with the objects, but also need to exhibit uniform internal data
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Book chapters on the topic "Datacenter Virtualization"

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Park, Byungyeon, Wonhyuk Lee, TaeYeon Kim, and HyunCheol Kim. "A Virtualization and Management Architecture of Micro-Datacenter." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46578-3_22.

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Manikandan, J., and Uppalapati SriLaskhmi. "HMM-Assisted Proactive Vulnerability Mitigation in Virtualization Datacenter Though Controlled VM Placement." In Proceedings of Data Analytics and Management. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7615-5_32.

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Duggirala, Siddhartha. "Fog Computing and Virtualization." In Advances in Computer and Electrical Engineering. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2785-5.ch003.

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The essence of Cloud computing is moving out the processing from the local systems to remote systems. Cloud is an umbrella of physical/virtual services/resources easily accessible over the internet. With more companies adopting cloud either fully through public cloud or Hybrid model, the challenges in maintaining a cloud capable infrastructure is also increasing. About 42% of CTOs say that security is their main concern for moving into cloud. Another problem which is mainly problem with infrastructure is the connectivity issue. The datacenter could be considered as the backbone of cloud comput
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Al-Saadoon, Ghossoon M. Waleed, and Ebrahim Al Naemi. "Virtualization Technology and Security Challenges." In Handbook of Research on Threat Detection and Countermeasures in Network Security. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6583-5.ch014.

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The aim of server virtualization is to eliminate the Hardware equipment in the Datacenter and maximize the utilization of the existing resources. This helps companies in achieving the business goals and objectives in cost effective manner and better support and integration. Virtualization technology changes the protection way of security, as most of hardware and software become after virtualization such as servers, switches, Logical Unit Numbers (LUNs) etc. and it's no longer trying to protect a physical hardware, (Hurwitz &amp; et al, 2013). The overall objective of this chapter is to find ou
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Duggirala, Siddhartha. "Fog Computing and Virtualization." In Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5972-6.ch003.

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The essence of cloud computing is moving out the processing from the local systems to remote systems. Cloud is an umbrella of physical/virtual services/resources easily accessible over the internet. With more companies adopting cloud either fully through public cloud or hybrid model, the challenges in maintaining a cloud capable infrastructure is also increasing. About 42% of CTOs say that security is their main concern for moving into cloud. Another problem, which is mainly problem with infrastructure, is the connectivity issue. The datacenter could be considered as the backbone of cloud comp
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Dhabliya, Dharmesh, Sukhvinder Singh Dari, Nitin N. Sakhare, et al. "Policies for Advanced Dynamic Load Balancing in Cloud Computing." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-0819-6.ch005.

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Cloud computing involves virtualization, distributed computers, networking, software, and web services. Clouds have servers, datacenters, and customers. It has fault tolerance, high availability, scalability, flexibility, little user overhead, low ownership cost, on-demand services, etc. These issues demand a robust load balancing mechanism. Balanced load distribution improves resource use and task response time by preventing some nodes from being completely loaded and others idle. Load balancers match processor and network node performance. A load balancing solution that improves throughput a
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Pandey, Binay Kumar, A. P. Mukundan, Vinay Kumar Nassa, et al. "Deployment of Load Balancing in Cloud Computing." In Emerging Engineering Technologies and Industrial Applications. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1335-0.ch017.

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Cloud computing involves virtualization, distributed computers, networking, software, and web services. Clouds have clients, datacenters, and servers. It has fault tolerance, high availability, scalability, flexibility, little user overhead, cheap ownership cost, on-demand services, etc. These difficulties require a powerful load balancing algorithm. Memory, CPU, latency, or network-load. Load balancing distributes demand to avoid overloaded distributed system nodes and optimises resource use and job response time. Load balancers ensure that processors and network nodes perform similarly. Meth
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Bilal, Rabia, and Bilal Muhammad Khan. "Software-Defined Networks (SDN)." In Handbook of Research on Cloud Computing and Big Data Applications in IoT. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8407-0.ch023.

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Software-defined networks (SDN) are a new paradigm shift in the world of network centralized command and control, providing network omniscience and separates control and data planes. Most of the research work till date focuses on increasing efficiency and manageability of computational and storage resources which results in emergence of current virtualization technologies. The feasibility and applications of SDN in current datacenters and network infrastructures is being studied by academia, industry, and the standardization bodies. This chapter explains SDN concepts and its difference from le
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Chatterjee, Ahan. "A Decadal Walkthrough on Energy Modelling for Cloud Datacenters." In Impacts and Challenges of Cloud Business Intelligence. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5040-3.ch012.

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Cloud computing is the growing field in the industry, and every scale industry needs it now. The high scale usage of cloud has resulted in huge power consumption, and this power consumption has led to increase of carbon footprint affecting our mother nature. Thus, we need to optimize the power usage in the cloud servers. Various models are used to tackle this situation, of which one is a model based on link load. It minimized the bit energy consumption of network usage which includes energy efficiency routing and load balancing. Over this, multi-constraint rerouting is also adapted. Other powe
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Calcavecchia, Nicolò Maria, Antonio Celesti, and Elisabetta Di Nitto. "Understanding Decentralized and Dynamic Brokerage in Federated Cloud Environments." In Achieving Federated and Self-Manageable Cloud Infrastructures. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1631-8.ch003.

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The advent of the cloud computing paradigm offers different ways both to sell services and to exploit external computational resources according to a pay-per-use economic model. Nowadays, cloud computing clients can buy various form of IaaS, PaaS, and SaaS from cloud providers. Besides this form of pay-per-use, the perspective of cloud federation offers further business opportunities for small/medium providers which hold physical datacenters. Considering the cloud computing ecosystem, besides large cloud providers, smaller ones are also becoming popular even though their own virtualization inf
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Conference papers on the topic "Datacenter Virtualization"

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Wang, Wei, and Yu Zhao. "Virtualization in railway datacenter management environment." In Education (ICCSE 2011). IEEE, 2011. http://dx.doi.org/10.1109/iccse.2011.6028687.

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Kong, Jian, Inwoong Kim, Xi Wang, et al. "Guaranteed-Availability Network Function Virtualization in Inter-Datacenter Networks." In Optical Fiber Communication Conference. OSA, 2018. http://dx.doi.org/10.1364/ofc.2018.w1d.1.

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Vencioneck, Rafael D. "A Datacenter Network Architecture for Low Latency, Automation and Virtualization." In SIGCOMM '16: ACM SIGCOMM 2016 Conference. ACM, 2016. http://dx.doi.org/10.1145/2940116.2940134.

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Kang, Hsueh-Hong, I.-Chih Wang, Li-Ping Tung, and H. P. Charles Wen. "Parcel-Fit: Low Network-Overhead Service-Chain Deployment for Better Datacenter Performance." In 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2019. http://dx.doi.org/10.1109/nfv-sdn47374.2019.9040155.

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Verma, Alakh K., and Dipendra K. Sinha. "Recent Developments in Cloud Computing, Data Storage and Handling." In ASME 2013 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/isps2013-2815.

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As data center managers consider deployment of a Cloud Computing environment the most important issues they consider include critical application data availability, storage agility and data protection strategies. Early adopters of Cloud Computing have already deployed Virtualization as a key technology in their Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) offerings. Cloud computing extends the benefits of virtualization by increasing the efficiency of server and storage utilization, reducing costs, improving operational efficiency and optimizing datacenter rack and floor
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Zhu, Ruijie, Yongli Zhao, Jie Zhang, Hui Yang, Yuanlong Tan, and Jason P. Jue. "Multi-dimensional Resource Virtualization in Spectral and Spatial Domains for Inter-Datacenter Optical Networks." In Optical Fiber Communication Conference. OSA, 2016. http://dx.doi.org/10.1364/ofc.2016.w2a.53.

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Luizelli, Marcelo, Luciana Buriol, and Luciano Gaspary. "Scalable Cost-Efficient Placement and Chaining of Virtual Network Functions." In XXXVI Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/sbrc_estendido.2018.14184.

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While Network Function Virtualization (NFV) is increasingly gaining momentum, with promising benefits of flexible service function deployment and reduced operations and management costs, there are several challenges that remain to be properly tackled, so that it can realize its full potential. One of these challenges, which has a significant impact on the NFV production chain, is effectively and (cost) efficiently deploying service functions, while ensuring that service level agreements are satisfied and making wise allocations of network resources. Despite recent research activity in the field, lit
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Brasilino, Lucas R. B., and Kelvin L. Dias. "HotOM: A SDN based network virtualization for datacenters." In 2015 Latin American Network Operations and Management Symposium - (LANOMS). IEEE, 2015. http://dx.doi.org/10.1109/lanoms.2015.7332662.

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Copie, Adrian. "TOWARDS THE SECURITY OF THE E-LEARNING IN THE OPEN SOURCE CLOUDS." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-110.

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In the last years, Cloud Computing was adopted as a large scale technology in various domains of activity and e-learning is not an exception from this rule. In the meanwhile, many universities have developed now their own private clouds in local datacenters, for training and educational purposes by using open source technologies like Eucalyptus, OpenNebula or Nimbus on the infrastructure service side, or other solutions like Apache Hadoop on the platform as a service side. Together with the public interest information stored in the private cloud, there is a lot of confidential data involved in
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