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A Value Based Dynamic Resource Provisioning Model in Cloud

Sandeep K. Sood
2013 International Journal of Cloud Applications and Computing  
To address these issues, a value based prediction model in this paper is proposed for resource provisioning in which a resource manager is used for dynamically allocating or releasing a virtual machine  ...  Efficient resource provisioning is required in cloud for effective resource utilization. For resource provisioning, cloud provides virtualized computing resources that are dynamically scalable.  ...  be automated and integrated with intelligent strategies for dynamic provisioning of resources in an autonomic manner.  ... 
doi:10.4018/ijcac.2013010101 fatcat:5wkav2thdrbabm56nv4geuesfq

Residue Based Adaptive Resource Provisioning through Multi-Criteria Decision and Horizontal Scaling

Pradeep Kumar Vadla
2020 International Journal of Advanced Trends in Computer Science and Engineering  
The residue-based resource provisioning is carried at cloud broker by performing multi-criteria decision for finding dominant collated provider agent in providing resources within the limit of service  ...  The agent-based model is simulated in our work in which all the elements of cloud computing are categorized into specific agents like cloud consumer agent, cloud provider agent and cloud broker agent.  ...  They suggested an approach based on the Marko chain model [33] which would allow dynamic information sharing of resources in a distributed environment.  ... 
doi:10.30534/ijatcse/2020/108922020 fatcat:mjyz7rax4zbi5p33ik757sdoqe

Hybrid SFLA-UBS Algorithm for Optimal Resource Provisioning with Cost Management in Multi-cloud Computing

Muhammad Iftikhar Hussain, JingSha He, Nafei Zhu, Fahad Sabah, Zulfiqar Ali, Saqib Hussain, Fahad Razque
2021 International Journal of Advanced Computer Science and Applications  
Multi-cloud is a vendor-based heterogeneous cloud paradigm in recent era of computing with dynamic infrastructural deployment.  ...  The proposed model also supports resource optimization with dynamic provisioning, cost-effective solution to achieve QoS in multi-cloud deployment on service provider end.  ...  These techniques are useful to overcome dynamic allocation and provisioning in private or hybrid cloud model but these techniques have lack to overcome issues related to multi-cloud model, resources optimization  ... 
doi:10.14569/ijacsa.2021.0120473 fatcat:ch7mttzg6bhy3a4cviw4tnoyoi

Resource Allocation Modeling in Abstraction using Predator-Prey Dynamics: A Qualitative Analysis

Bidisha Goswami, Snehanshu Saha
2013 International Journal of Computer Applications  
The paper tries to address the issue of resource provisioning in a dynamic environment by adopting a biologically inspired approach.  ...  Using a linear combination of two different models the paper elucidates strategies for allocation of resources in stable and volatile scenarios.  ...  A detailed study for cloud environment has been done based on different provisioning phases in different time intervals.  ... 
doi:10.5120/9930-4562 fatcat:yrbegzclqjhhjnhiiw6qeiqduq

A Pattern-Based Prediction Model for Dynamic Resource Provisioning in Cloud Environment

Hyukho Kim
2011 KSII Transactions on Internet and Information Systems  
In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage  ...  In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions.  ...  Conclusion In this paper, we proposed a pattern-based prediction model that enables high resource utilizations in a virtualized Cloud environment.  ... 
doi:10.3837/tiis.2011.10.002 fatcat:fnmxcx7wmnaupjdaw3irbbcowe

Exploratory Learning of Resource Management in Private Cloud Environment

2019 International journal of recent technology and engineering  
To maintain the performance of the cloud, which provision resources based on a heuristic for workload prediction is prime importance.  ...  In this paper, we address auto-scaling as a problem to forecast near-future demand of resource using a KNN machine learning methods suggest the optimized model for the dynamic variation of CPU utilization  ...  Service-based business model [6] gives the complex process of an auto-scaling in a cloud environment.  ... 
doi:10.35940/ijrte.c6415.098319 fatcat:ez6cwyhj5vej5ht7zitahamv2a

Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parameters in the Cloud Environment

Lata J Gadhavi, Madhuri D Bhavsar
2018 International Journal of Electrical and Computer Engineering (IJECE)  
The present research introduces a prediction based resource provisioning model for the allocation of resources in advance.  ...  The provisioning of virtualized resources to cloud consumers according to their need is a crucial step in the deployment of applications on the cloud.  ...  An ontology-based dynamic resource provisioning for public cloud was implemented in the previous work [13].  ... 
doi:10.11591/ijece.v8i6.pp5359-5370 fatcat:forfphslujhovk5oqgr3jpnecq

Resource provisioning with budget constraints for adaptive applications in cloud environments

Qian Zhu, Gagan Agrawal
2010 Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing - HPDC '10  
The key component of our framework is a feedback control based dynamic resource provisioning algorithm.  ...  Because of the pay-as-you-go model, resource provisioning should be performed carefully, keeping resource costs to a minimum, while meeting an application's needs.  ...  In Section 4, we present the control theory based model and our dynamic resource provisioning algorithm.  ... 
doi:10.1145/1851476.1851516 dblp:conf/hpdc/ZhuA10 fatcat:j6uz6refzvgyhfpmmfv3rty7va

Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments

Qian Zhu, Gagan Agrawal
2012 IEEE Transactions on Services Computing  
The key component of our framework is a feedback control based dynamic resource provisioning algorithm.  ...  Because of the pay-as-you-go model, resource provisioning should be performed carefully, keeping resource costs to a minimum, while meeting an application's needs.  ...  In Section 4, we present the control theory based model and our dynamic resource provisioning algorithm.  ... 
doi:10.1109/tsc.2011.61 fatcat:qw4p2yqtxbbsxprzebn7mg2sja

Empirical prediction models for adaptive resource provisioning in the cloud

Sadeka Islam, Jacky Keung, Kevin Lee, Anna Liu
2012 Future generations computer systems  
In this paper, we develop prediction-based resource measurement and provisioning strategies using Neural Network and Linear Regression to satisfy upcoming resource demands.  ...  However, initializing a new virtual instance in a cloud is not instantaneous; cloud hosting platforms introduce several minutes delay in the hardware resource allocation.  ...  The pay-as-you-go model and dynamic resource provisioning features of the cloud reduce the overhead associated with static provisioning, which is not considered as a cost effective option because of over-provisioning  ... 
doi:10.1016/j.future.2011.05.027 fatcat:rop4vny2bbduvd2ysv4gykujni

Unsupervised Neural Predictor to Auto-administrate the Cloud Infrastructure

Hanen Chihi, Walid Chainbi, Khaled Ghedira
2012 2012 IEEE Fifth International Conference on Utility and Cloud Computing  
This work presents a resources provisioning approach based on an unsupervised predictor model in the form of an unsupervised, recurrent neural network based on a self-organizing map.  ...  Cloud computing is an emerging model for distributed utility computing and is being considered as an attractive opportunity for saving energy through central management of computational resources.  ...  These systems are dynamically provisioned based on a determination of the required computing resources requested by the end user of the cloud application [6] [7] .  ... 
doi:10.1109/ucc.2012.35 dblp:conf/ucc/ChihiCG12 fatcat:kakuqux3ovgydamgxgfwyjrqfa

Automated Dynamic Resource Provisioning and Monitoring in Virtualized Large-Scale Datacenter

Sameera Abar, Pierre Lemarinier, Georgios K. Theodoropoulos, Gregory M.P. OHare
2014 2014 IEEE 28th International Conference on Advanced Information Networking and Applications  
In contrast our work aims to construct a practical software agent-based support mechanism for the dynamic resource provisioning and monitoring in virtualized large-scale datacenter systems and this effort  ...  Once the runtime information is matched with a precondition set in the "SimInvoke-Ag" agent, simulation is initialized inputting data values to the simulation model (a Javabased routine created in CloudSim  ...  Runtime error information is matched with a predefined string or precondition. and an event is generated SimInvoke-Ag Linux-based Shell script NovaBoot.sh Clearing cache of inactive and delayed  ... 
doi:10.1109/aina.2014.117 dblp:conf/aina/AbarLTO14 fatcat:i6zfmjfmuzaq7fipcy3lan3aoa

An Optimal Resource Provisioning Algorithm for Cloud Computing Environment

Shivangi Nigam, Abhishek Bajpai
2017 Oriental journal of computer science and technology  
Resource Provisioning in a Cloud Computing Environment ensures flexible and dynamic access of the cloud resources to the end users.  ...  It uses AHP as a method to rank the cloud resources for provisioning. The ACO is used to examine the cloud resources for which resource traits best satisfy the provisioning.  ...  NEPHELE 18 was the first to introduce Dynamic provisioning/ de-provisioning of resources in its scheduling and during job execution from a cloud.  ... 
doi:10.13005/ojcst/10.02.17 fatcat:lh5enzrnazfv7ehizkarzctbdy

TIME WINDOW BASED AUTO-REGRESSIVE HYBRID PSO FOR OPTIMAL CLOUD PACKAGE SELECTION

K. Mani
2018 International Journal of Advanced Research in Computer Science  
However, increased requests also laden with increased resource requirements especially due to the elastic nature of the cloud. This mandates the need for effective resource provisioning model.  ...  This paper presents a Time Window based Auto-Regressive Hybrid PSO (TWARP) model that provides faster and more appropriate resource allocations.  ...  RELATED WORKS Resource provisioning is one of the major requirements of a cloud provisioning system [5] . Further, dynamic resource provisioning is also expected without human intervention [6] .  ... 
doi:10.26483/ijarcs.v9i3.6007 fatcat:f2cpmccakbadphoramu43nmp7e

Modelling Virtual Machine Workload in Heterogeneous Cloud Computing Platforms

Suliman Mohamed Fati, Ayman Kamel Jaradat, Ibrahim Abunadi, Ahmed Sameh Mohammed
2020 Journal of Information Technology Research  
In addition, the hosted applications in cloud computing platforms are highly interactive and require intensive resources.  ...  Such a scheme needs an efficient resource provisioning to manage the resource assignment to multiple virtual machines properly.  ...  The idea Cloud computing comes from the abundance of computing resources in the datacenters, which are surplus. Such huge resources represents the resource pooling that can be rented to the  ... 
doi:10.4018/jitr.20201001.oa1 fatcat:osnhp4etbfeiffpflwchq2q5si
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