Relevant bibliographies by topics / Dynamic Capacity Provisioning

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Academic literature on the topic 'Dynamic Capacity Provisioning'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Dynamic Capacity Provisioning"

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Ramamurthy, R., Z. Bogdanowicz, S. Samieian, et al. "Capacity performance of dynamic provisioning in optical networks." Journal of Lightwave Technology 19, no. 1 (2001): 40–48. http://dx.doi.org/10.1109/50.914483.

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M., G. Saravanan, and Natarajan M. "FUZZY ALGORITHM USING VIRTUAL MACHINES SCHEDULING IN DISTRIBUTER SYSTEM AUTOMATIC OVERLOADED IN DISTRIBUTE DATABASE." International Journal of Engineering Research and Modern Education 3, no. 2 (2018): 4–7. https://doi.org/10.5281/zenodo.1402725.

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In present day virtualization based register mists, applications share the hidden equipment by running in disconnected Virtual Machines (VMs). Each VM, amid its underlying creation, is arranged with a specific measure of processing assets, (for example, CPU, memory and I/O). A key factor for accomplishing economies of scale in a register cloud is asset provisioning, which alludes to apportioning assets to VMs to coordinate their workload. Commonly, effective provisioning is accomplished by two operations: (1) static asset provisioning. VMs are made with indicated size and after that united ont
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Pham-Nguyen, Hoang-Nam, and Quang Tran-Minh. "Dynamic Resource Provisioning on Fog Landscapes." Security and Communication Networks 2019 (May 2, 2019): 1–15. http://dx.doi.org/10.1155/2019/1798391.

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A huge amount of smart devices which have capacity of computing, storage, and communication to each other brings forth fog computing paradigm. Fog computing is a model in which the system tries to push data processing from cloud servers to “near” IoT devices in order to reduce latency time. The execution orderings and the deployed places of services make significant effect on the overall response time of an application. Beside new research directions in fog computing, e.g., fog-cloud collaboration, service scalability, fog scalability, mobile fog computing, fog federation, trade-off between en
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Sood, Sandeep K. "A Value Based Dynamic Resource Provisioning Model in Cloud." International Journal of Cloud Applications and Computing 3, no. 1 (2013): 1–12. http://dx.doi.org/10.4018/ijcac.2013010101.

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Cloud computing has become an innovative computing paradigm, which aims at providing reliable, customized, Quality of Service (QoS) and guaranteed computing infrastructures for users. Efficient resource provisioning is required in cloud for effective resource utilization. For resource provisioning, cloud provides virtualized computing resources that are dynamically scalable. This property of cloud differentiates it from the traditional computing paradigm. But the initialization of a new virtual instance causes a several minutes delay in the hardware resource allocation. Furthermore, cloud prov
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Sood, Sandeep K. "A Value Based Dynamic Resource Provisioning Model in Cloud." International Journal of Cloud Applications and Computing 3, no. 2 (2013): 35–46. http://dx.doi.org/10.4018/ijcac.2013040104.

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Cloud computing has become an innovative computing paradigm, which aims at providing reliable, customized, Quality of Service (QoS) and guaranteed computing infrastructures for users. Efficient resource provisioning is required in cloud for effective resource utilization. For resource provisioning, cloud provides virtualized computing resources that are dynamically scalable. This property of cloud differentiates it from the traditional computing paradigm. But the initialization of a new virtual instance causes a several minutes delay in the hardware resource allocation. Furthermore, cloud prov
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Jeyarani, R., N. Nagaveni, and R. Vasanth Ram. "Self Adaptive Particle Swarm Optimization for Efficient Virtual Machine Provisioning in Cloud." International Journal of Intelligent Information Technologies 7, no. 2 (2011): 25–44. http://dx.doi.org/10.4018/jiit.2011040102.

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Cloud Computing provides dynamic leasing of server capabilities as a scalable, virtualized service to end users. The discussed work focuses on Infrastructure as a Service (IaaS) model where custom Virtual Machines (VM) are launched in appropriate servers available in a data-center. The context of the environment is a large scale, heterogeneous and dynamic resource pool. Nonlinear variation in the availability of processing elements, memory size, storage capacity, and bandwidth causes resource dynamics apart from the sporadic nature of workload. The major challenge is to map a set of VM instanc
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M., Rakesh Chowdary, Yashwanth Reddy A., and Abhishek N. "RESOURCE MANAGEMENT IN DEALING WITH SECURITY CHALLENGES IN CLOUD BASED ENVIRONMENT." International Journal of Applied and Advanced Scientific Research 1, no. 2 (2016): 152–55. https://doi.org/10.5281/zenodo.1034457.

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Cloud Service Brokers includes technology consultants, business professional service organizations, registered brokers and agents, and influencers that help guide consumers in the selection of cloud computing solutions. Service brokers concentrate on the negotiation of the relationships between consumers and providers without owning or managing the whole Cloud infrastructure. Moreover, they add extra services on top of a Cloud provider’s infrastructure to make up the user’s Cloud environment.With the emergence of many new data centers around the globe; energy consumption by those data centers
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Goswami, Veena, S. S. Patra, and G. B. Mund. "Dynamic Provisioning and Resource Management for Multi-Tier Cloud Based Applications." Foundations of Computing and Decision Sciences 38, no. 3 (2013): 175–91. http://dx.doi.org/10.2478/fcds-2013-0008.

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Abstract Dynamic capacity provisioning is a useful technique for handling the workload variations seen in cloud environment. In this paper, we propose a dynamic provisioning technique for multi-tier applications to allocate resources efficiently using queueing model. It dynamically increases the mean service rate of the virtual machines to avoid congestion in the multi-tier environments. An optimization model to minimize the total number of virtual machines for computing resources in each tier has been presented. Using the supplementary variable and the recursive techniques, we obtain the syst
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Guerin, Roch, Kartik Hosanagar, Xinxin Li, and Soumya Sen. "Shared or Dedicated Infrastructures: On the Impact of Reprovisioning Ability." MIS Quarterly 43, no. 4 (2019): 1059–79. http://dx.doi.org/10.25300/misq/2019/14857.

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New technologies, such as virtualization, are transforming the way in which software and services are deployed and delivered to their users. They are behind the emergence of IT offerings such as cloud computing and converged networks, and manifest themselves through two important trends: (1) lower the cost of sharing a common infrastructure across multiple services with disparate resource requirements, and (2) dynamic provisioning of capacity in response to demand. Conventional wisdom is that both of these capabilities are synergistic, with greater provisioning flexibility improving the benefi
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S, Suriya, Madhvesh V S, and Mrudhhula V S. "Cost Efficient Resource Provisioning using ACO." Journal of Soft Computing Paradigm 6, no. 4 (2025): 365–77. https://doi.org/10.36548/jscp.2024.4.003.

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Cloud computing has revolutionized the way computational resources are provisioned and managed, offering scalable and flexible services to meet diverse user demands. However, cost-effective resource management is a very challenging process because of the dynamism and diversity of the aspects of cloud environments that changes in terms of load and resources. The traditional sources of resource acquisition do not have the capacity to deliver the alternatives expected on their cost without having a negative impact on the performance of the resources. This work describes the new approach of utiliz
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Books on the topic "Dynamic Capacity Provisioning"

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Nelson, Rebecca, and Richard Coe. Agroecological Intensification of Smallholder Farming. Edited by Ronald J. Herring. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780195397772.013.006.

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The smallholder farmers who cultivate many of the planet’s diverse production systems are faced with numerous challenges, including poverty, shrinking farm sizes, degrading natural resources, and climate variability and change. Efforts to improve the performance of smallholder farming systems focus on improving access to input and output markets, improving farm resource use efficiency, and improving resources invested in smallholder farming. In order to support market-oriented production and self-provisioning, there is a need for greater focus on agroecological intensification (AEI) of smallho
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Book chapters on the topic "Dynamic Capacity Provisioning"

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Chang Yenchih, Wang Kuochen, and Hsu Yi-Huai. "Dynamic Resource Provisioning with Hotspot Anticipation for MMOG Clouds." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-484-8-2053.

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We propose a dynamic resource provisioning with hotspot anticipation scheme, called NN-Player+DRP-HA that employs a finite state machine model to monitor the movement of avatars in a virtual world. Furthermore, we use a finite state machine to represent possible avatar states and state transitions. By combining the state of each avatar in a game zone with a neural network (NN) predictor, we may figure out potential workload produced by hotspots, and then allocate appropriate computing resources to support the game zone. Experimental results support that the proposed NN-Player+DRP-HA scheme can
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Akar, N., and C. Sahin. "Dynamic capacity provisioning in virtual path-based networks using reinforcement learning." In Providing Quality of Service in Heterogeneous Environments, Proceedings of the 18th International Teletraffic Congress - ITC-18. Elsevier, 2003. http://dx.doi.org/10.1016/s1388-3437(03)80219-6.

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Kong Lingjun, Xu Wensheng, and Cha Jianzhong. "Provisioning Service Resources for Cloud Manufacturing." In 20th ISPE International Conference on Concurrent Engineering. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-302-5-216.

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Cloud manufacturing is a new service-oriented networked manufacturing paradigm which can integrate various physical manufacturing resources and manufacturing capacities and provide manufacturing services of the lifecycle for the product. It is a new research direction in the field of the advanced manufacturing. In this paper, a provisioning method of service resources for cloud manufacturing is studied. Firstly, the service-oriented architectures are investigated to decide the service architecture for the encapsulation of manufacturing resources. Then a three-step provisioning method of manufa
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Oyo, Benedict, Billy Mathias Kalema, and Isdore Paterson Guma. "Re-Conceptualizing Smallholders' Food Security Resilience in Sub-Saharan Africa." In Advances in System Dynamics and Control. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4077-9.ch018.

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Smallholder African systems operate in harsh environments of climate changes, resource scarcity, environmental degradation, market failures, and weak public and/or donor support. The smallholders must therefore be prepared to survive by self-provisioning. This chapter examines the nature of vulnerability of smallholders' food security caused by above conditions in the context of system dynamics modelling. The results show that smallholders co-exist whereby the non-resilient households offer labor to the resilient households for survival during turbulent seasons irrespective of the magnitude of
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Oyo, Benedict, Billy Mathias Kalema, and Isdore Paterson Guma. "Re-Conceptualizing Smallholders' Food Security Resilience in Sub-Saharan Africa." In Research Anthology on Strategies for Achieving Agricultural Sustainability. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5352-0.ch016.

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Smallholder African systems operate in harsh environments of climate changes, resource scarcity, environmental degradation, market failures, and weak public and/or donor support. The smallholders must therefore be prepared to survive by self-provisioning. This chapter examines the nature of vulnerability of smallholders' food security caused by above conditions in the context of system dynamics modelling. The results show that smallholders co-exist whereby the non-resilient households offer labor to the resilient households for survival during turbulent seasons irrespective of the magnitude of
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Gawanmeh, Amjad, Ahmad Alomari, Alain April, Ali Alwadi, and Sazia Parvin. "Green Evolutionary-Based Algorithm for Multiple Services Scheduling in Cloud Computing." In Advances in Business Information Systems and Analytics. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3038-1.ch003.

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The era of cloud computing allowed the instant scale up of provided services into massive capacities without the need for investing in any new on site infrastructure. Hence, the interest of this type of services has been increased, in particular, by medium scale entities who can afford to completely outsource their data-center and their infrastructure. In addition, large companies may wish to provide support for wide range of load capacities, including peak ones, however, this will require very higher costs in order to build larger data centers internally. Cloud services can provide services f
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Conference papers on the topic "Dynamic Capacity Provisioning"

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Lin, Minghong, Adam Wierman, Lachlan L. H. Andrew, and Eno Thereska. "Online dynamic capacity provisioning in data centers." In 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2011. http://dx.doi.org/10.1109/allerton.2011.6120298.

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Zhang, Qi, Mohamed Faten Zhani, Shuo Zhang, Quanyan Zhu, Raouf Boutaba, and Joseph L. Hellerstein. "Dynamic energy-aware capacity provisioning for cloud computing environments." In the 9th international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2371536.2371562.

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Balanici, Mihail, Behnam Shariati, Pooyan Safari, Geronimo Bergk, and Johannes Karl Fischer. "Autonomous Capacity Adjustment with Dynamic Margin Allocation for Optical Enterprise Links." In Optical Fiber Communication Conference. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/ofc.2024.m1h.2.

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This work presents a novel machine learning-based dynamic capacity allocation scheme for efficient bandwidth provisioning of optical links. It offers an average hourly capacity saving of over 75% compared to traditional static capacity allocation mechanisms.
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Huang, Shu, and Rudra Dutta. "Spare Capacity Provisioning for Dynamic Traffic Grooming in Optical Networks." In 2006 3rd International Conference on Broadband Communications, Networks and Systems. IEEE, 2006. http://dx.doi.org/10.1109/broadnets.2006.4374369.

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Tian, Wenhong, and Harry Perros. "Modeling approaches and provisioning algorithms for dynamic bandwidth adjustment in multi-media networks." In 2006 International Symposium on High Capacity Optical Networks and Enabling Technologies (HONET). IEEE, 2006. http://dx.doi.org/10.1109/honet.2006.5338404.

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Chen, Li-wei, and Eytan Modiano. "A Geometric Approach to Capacity Provisioning in WDM Networks with Dynamic Traffic." In 2006 40th Annual Conference on Information Sciences and Systems. IEEE, 2006. http://dx.doi.org/10.1109/ciss.2006.286404.

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Adnan, Muhammad Abdullah, Ryo Sugihara, Yan Ma, and Rajesh K. Gupta. "Energy-optimized dynamic deferral of workload for capacity provisioning in data centers." In 2013 International Green Computing Conference (IGCC). IEEE, 2013. http://dx.doi.org/10.1109/igcc.2013.6604515.

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Balanici, Mihail, Pooyan Safari, Behnam Shariati, Aydin Jafari, Johannes Karl Fischer, and Ronald Freund. "Live Demonstration of Autonomous Link-Capacity Adjustment in Optical Metro-Aggregation Networks." In Optical Fiber Communication Conference. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/ofc.2024.m3z.3.

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We demonstrate a real-time ML-assisted network automation pipeline for dynamic, autonomous link-capacity allocation based on traffic-flow forecasting for optical metro aggregation networks. Its performance is compared to that of a classic, static bandwidth provisioning scheme.
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Shuo Zhang, Yaping Liu, Baosheng Wang, and Ruixin Zhang. "Analysis and modeling of dynamic capacity provisioning problem for a heterogeneous data center." In 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2013. http://dx.doi.org/10.1109/icufn.2013.6614927.

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Yang, Xi, Chris Tracy, Jerry Sobieski, and Tom Lehman. "GMPLS-Based Dynamic Provisioning and Traffic Engineering of High-Capacity Ethernet Circuits in Hybrid Optical/Packet Networks." In Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications. IEEE, 2006. http://dx.doi.org/10.1109/infocom.2006.34.

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