Autosoft Journal

Online Manuscript Access


Availability modeling for multi-tier cloud environment


Authors



Abstract

Performance modeling forms an essential process for evaluation of cloud quality. Cloud performance appraisal process and methods widely differ from that of other proven performance related methodologies being used for domains like computer networks, distributed computing and operations systems. Multi-tier Cloud is a scalable system in which many services or tiers can be constructed for all types of applications. The quality of service of a Multi-tier cloud environment is closely associated with several factors like dependability, availability, reliability, security, perform-ability and each of the performance entities directly or indirectly influences the overall functioning of the cloud. There are many models to evaluate cloud performance and quality, but these traditional models are not efficient enough and consider only certain primary parameters in their evaluation. In this paper, a high-level performance analysis model is proposed that can predict the availability of a Multi-tier cloud environment. As Multi-tier cloud deals with multiple services according to their application, the prediction of availability is essential one for performance modeling. The various prominent parameters that influence the performance of the cloud system are also considered in the proposed model. The proposed algorithm is experimentally verified by means of SHARPE tool.


Keywords


Pages

Total Pages: 8
Pages: 485-492

DOI
10.1080/10798587.2016.1220122


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways


Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Published

Volume: 23
Issue: 3
Year: 2016

Cite this document


References

Abdelmaboud, Abdelzahir et al. "Quality of Service Approaches in Cloud Computing: A Systematic Mapping Study." Journal of Systems and Software 101 (2015): 159-179. Crossref. Web. https://doi.org/10.1016/j.jss.2014.12.015

Bauer, Eric, and Randee Adams. "Reliability and Availability of Cloud Computing." (2012): n. pag. Crossref. Web. https://doi.org/10.1002/9781118393994

Bruneo, Dario. "A Stochastic Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems." IEEE Transactions on Parallel and Distributed Systems 25.3 (2014): 560-569. Crossref. Web. https://doi.org/10.1109/TPDS.2013.67

Dai Y.S. 15th IEEE Pacific Rim International Symposium on Dependable Computing

Dantas, Jamilson et al. "Eucalyptus-Based Private Clouds: Availability Modeling and Comparison to the Cost of a Public Cloud." Computing 97.11 (2015): 1121-1140. Crossref. Web. https://doi.org/10.1007/s00607-015-0447-8

Fabian, Benjamin, Annika Baumann, and Jessika Lackner. "Topological Analysis of Cloud Service Connectivity." Computers & Industrial Engineering 88 (2015): 151-165. Crossref. Web. https://doi.org/10.1016/j.cie.2015.06.009

Iqbal, Waheed et al. "Adaptive Resource Provisioning for Read Intensive Multi-Tier Applications in the Cloud." Future Generation Computer Systems 27.6 (2011): 871-879. Crossref. Web. https://doi.org/10.1016/j.future.2010.10.016

Ghosh, Rahul et al. "Scalable Analytics for IaaS Cloud Availability." IEEE Transactions on Cloud Computing 2.1 (2014): 57-70. Crossref. Web. https://doi.org/10.1109/TCC.2014.2310737

Khazaei, H., J. Misic, and V. B. Misic. "Performance Analysis of Cloud Computing Centers Using M/G/m/m+r Queuing Systems." IEEE Transactions on Parallel and Distributed Systems 23.5 (2012): 936-943. Crossref. Web. https://doi.org/10.1109/TPDS.2011.199

Kryvinska, Natalia, and Christine Strauss. "Conceptual Model of Business Services Availability Vs. Interoperability on Collaborative IoT-Enabled eBusiness Platforms." Studies in Computational Intelligence (2013): 167-187. Crossref. Web. https://doi.org/10.1007/978-3-642-34952-2_7

Liu, Yaxiao et al. "An Empirical Study on Implementing Highly Reliable Stream Computing Systems with Private Cloud." Ad Hoc Networks 35 (2015): 37-50. Crossref. Web. https://doi.org/10.1016/j.adhoc.2015.07.009

Lloyd, W. et al. "Performance Implications of Multi-Tier Application Deployments on Infrastructure-as-a-Service Clouds: Towards Performance Modeling." Future Generation Computer Systems 29.5 (2013): 1254-1264. Crossref. Web. https://doi.org/10.1016/j.future.2012.12.007

Magalhães, Deborah et al. "Workload Modeling for Resource Usage Analysis and Simulation in Cloud Computing." Computers & Electrical Engineering 47 (2015): 69-81. Crossref. Web. https://doi.org/10.1016/j.compeleceng.2015.08.016

Sahner R.A. Performance and reliability analysis of computer systems: an example-based approach using the SHARPE software package

Serrano, Damián et al. "SLA Guarantees for Cloud Services." Future Generation Computer Systems 54 (2016): 233-246. Crossref. Web. https://doi.org/10.1016/j.future.2015.03.018

Subashini, S., and V. Kavitha. "A Survey on Security Issues in Service Delivery Models of Cloud Computing." Journal of Network and Computer Applications 34.1 (2011): 1-11. Crossref. Web. https://doi.org/10.1016/j.jnca.2010.07.006

Sun, Da-Wei et al. "Modeling a Dynamic Data Replication Strategy to Increase System Availability in Cloud Computing Environments." Journal of Computer Science and Technology 27.2 (2012): 256-272. Crossref. Web. https://doi.org/10.1007/s11390-012-1221-4

Toosi, Adel Nadjaran, Rodrigo N. Calheiros, and Rajkumar Buyya. "Interconnected Cloud Computing Environments." ACM Computing Surveys 47.1 (2014): 1-47. Crossref. Web. https://doi.org/10.1145/2593512

Vishwanath, Kashi Venkatesh, and Nachiappan Nagappan. "Characterizing Cloud Computing Hardware Reliability." Proceedings of the 1st ACM symposium on Cloud computing - SoCC ”10 (2010): n. pag. Crossref. Web. https://doi.org/10.1145/1807128.1807161

Xu, Xiaolin et al. "Rethink the Storage of Virtual Machine Images in Clouds." Future Generation Computer Systems 50 (2015): 75-86. Crossref. Web. https://doi.org/10.1016/j.future.2014.10.004

Zhang, Qi, Ludmila Cherkasova, and Evgenia Smirni. "A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications." Fourth International Conference on Autonomic Computing (ICAC”07) (2007): n. pag. Crossref. Web. https://doi.org/10.1109/ICAC.2007.1

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




CONTACT INFORMATION


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048
EMAIL: tsiepress@gmail.com
WEB: http://www.wacong.org/tsi/