Proceedings Article10.1109/GLOCOM.2012.6503361
Service provisioning in virtualization-based Cloud computing: Modeling and optimization
Jun Huang,Yanbing Liu,Qiang Duan +2 more
- 01 Dec 2012
- pp 1710-1715
20
TL;DR: This paper model the Cloud service provisioning feature in virtualization-based Cloud computing, and proposes an exact algorithm for QoS-aware service composition to optimize user's experiences for Cloud service access and results show that the proposed algorithm has better performance both in execution time and finding solution.
read more
Abstract: Cloud computing is an emerging computing paradigm that may change the way how information services are provisioned. Network virtualization plays a crucial role in a Cloud environment for abstracting and virtualizing various network infrastructures as services. Therefore virtual network services should be integrated with Cloud service to form the composite Cloud service. However, little research has focused on modeling and optimization of network virtualization in Cloud service provisioning to end users. In this paper, we model the Cloud service provisioning feature in virtualization-based Cloud computing, and propose an exact algorithm for QoS-aware service composition to optimize user's experiences for Cloud service access. Our theoretical analysis indicates that the proposed algorithm is light-weighted and cost-effective. We also compare the proposed algorithm against a variant of the best-known QoS routing algorithm experimentally. The results show that the proposed algorithm has better performance both in execution time and finding solution. We believe that the modeling technique and the algorithm presented in this paper are general and effective, thus are applicable to practical Cloud computing systems.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Quality-of-service in cloud computing: modeling techniques and their applications
TL;DR: A survey of the state of the art of QoS modeling approaches suitable for cloud systems is provided, which review and classify their early application to some decision-making problems arising in cloud QoS management.
Simultaneous Cost and QoS Optimization for Cloud Resource Allocation
TL;DR: A cost-effective and runtime friendly algorithm that minimizes the deployment cost while meeting the QoS performance requirements and offers an optimal choice, from customers’ point of view, for deploying a Web application in cloud environment.
50
Genetic algorithm for quality of service based resource allocation in cloud computing
TL;DR: The improved optimization algorithm for resource allocation is proposed by considering the objectives of minimizing the deployment cost and improving the QoS performance by considering different customer QoS requirements and allocates the resources within the given budget.
40
QoS-Aware Service Composition for Converged Network-Cloud Service Provisioning
Jun Huang,Guoquan Liu,Qiang Duan,Yuhong Yan +3 more
- 27 Jun 2014
TL;DR: This paper develops an algorithm to solve the service composition problem as a variant of Multi-Constrained Optimal Path (MCOP), and gives theoretical analysis on properties of the algorithm to show its effectiveness and efficiency for QoS-aware network-Cloud service composition.
32
Converged Network-Cloud Service Composition with End-to-End Performance Guarantee
TL;DR: This paper presents a system model for network-cloud service composition and formulate the service composition problem as a variant of Multi-Constrained Optimal Path (MCOP) problem, and proposes an approximation algorithm to solve the problem and gives theoretical analysis on properties of the algorithm to show its effectiveness and efficiency.
31
References
A view of cloud computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
10.4K
Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster,Yong Zhao,Ioan Raicu,Shiyong Lu +3 more
- 01 Nov 2008
TL;DR: In this article, the authors compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both the two technologies, and compare the advantages of grid computing and cloud computing.
A survey of network virtualization
TL;DR: The existing technologies and a wide array of past and state-of-the-art projects on network virtualization are surveyed followed by a discussion of major challenges in this area.
1.3K
The Impact of Virtualization on Network Performance of Amazon EC2 Data Center
Guohui Wang,T. S. Eugene Ng +1 more
- 14 Mar 2010
TL;DR: The results show that even though the data center network is lightly utilized, virtualization can still cause significant throughput instability and abnormal delay variations.
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
Keith Jackson,Lavanya Ramakrishnan,Krishna Muriki,Shane Canon,Shreyas Cholia,John Shalf,Harvey J. Wasserman,Nicholas J. Wright +7 more
- 30 Nov 2010
TL;DR: This work represents the most comprehensive evaluation to date comparing conventional HPC platforms to Amazon EC2, using real applications representative of the workload at a typical supercomputing center, and results indicate that EC2 is six times slower than a typical mid-range Linux cluster, and twenty times faster than a modern HPC system.