Evaluating Eucalyptus Virtual Machine Instance Types: a Study Considering Distinct Workload Demand

Cloud computing paradigm provides virtualized computing resources as a service on demand. This paradigm allows companies focus on their business issues rather than conceiving and managing complex infrastructures. As a consequence, performance evaluation of cloud computing infrastructures has been receiving considerable attention by service providers as a prominent activity for improving service quality infrastructure planning, and selection of software platforms (e.g., Eucalyptus). This paper presents the performance evaluation of virtual machines on Eucalyptus platform considering different workloads. This study provides insights about Eucalyptus system infrastructure suitability for applications with high processing and storage performance requirements. This work provided the evaluation of virtual machine instances types from a private cloud, which was configured with Eucalyptus platform. Keywords-cloud computing; eucalyptus platform; performance evaluation.

[1]  Toby Velte,et al.  Cloud Computing, A Practical Approach , 2009 .

[2]  Robert V. Brill,et al.  Applied Statistics and Probability for Engineers , 2004, Technometrics.

[3]  Alexandru Iosup,et al.  Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing , 2011, IEEE Transactions on Parallel and Distributed Systems.

[4]  Gautam Shroff Enterprise Cloud Computing: Technology, Architecture, Applications , 2010 .

[5]  Alexandru Iosup,et al.  A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing , 2009, CloudComp.

[6]  Devarshi Ghoshal,et al.  I/O performance of virtualized cloud environments , 2011, DataCloud-SC '11.

[7]  David J. Lilja,et al.  Measuring computer performance : A practitioner's guide , 2000 .

[8]  Dimitris N. Chorafas Cloud Computing Strategies , 2010 .

[9]  Ray Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[10]  Lieven Eeckhout,et al.  Performance Evaluation and Benchmarking , 2005 .

[11]  Virgílio A. F. Almeida,et al.  Performance by Design - Computer Capacity Planning By Example , 2004 .

[12]  Michael Hugos,et al.  Business in the Cloud: What Every Business Needs to Know About Cloud Computing , 2010 .

[13]  Richard Wolski,et al.  The Eucalyptus Open-Source Cloud-Computing System , 2009, 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.

[14]  Curtis Franklin,et al.  Cloud Computing: Technologies and Strategies of the Ubiquitous Data Center , 2010 .

[15]  Jeffrey Shafer,et al.  I/O virtualization bottlenecks in cloud computing today , 2010 .

[16]  Jothy Rosenberg,et al.  The Cloud at Your Service , 2010 .