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Fine-grained Scalability of Digital Library Services in the Cloud

Published: 29 September 2014 Publication History

Abstract

Modern digital library systems are increasingly handling massive data volumes; this content needs to be stored, indexed and made easily accessible to end users. Cloud computing promises to address some of these needs through a set of services that arguably support scalability of service provision. This paper discusses a set of experiments to assess the scalability of typical digital library services that use cloud computing facilities for core processing and storage. Horizontal scalability experiments were performed to benchmark the overall performance of the architecture with increasing load. The results of the experiments indicate that stable response times and some degree of variability are attainable due to multiple middleware servers when browsing and/or searching a collection of a fixed size. There is minimal variation in response times when varying collection sizes and equally after the caching phases. Most importantly, request sequencing proved that the quantity and age of requests have no impact on response times. The experimental results thus provide evidence to support the feasibility of building and deploying cloud-based Digital Libraries.

References

[1]
M. Armbrust, I. Stoica, M. Zaharia, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, and A. Rabkin. A View of Cloud Computing. Communications of the ACM, 53(4):50, Apr. 2010.
[2]
W. Y. Arms. Key Concepts in the Architecture of the Digital Library. D-Lib Magazine, 1(1), July 1995.
[3]
R. Godin, C. Pichet, and J. Gecsei. Design of a browsing interface for information retrieval. ACM SIGIR Forum, 23(SI):32--39, June 1989.
[4]
A. Khajeh-Hosseini, D. Greenwood, and I. Sommerville. Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS. 2010 IEEE 3rd International Conference on Cloud Computing, pages 450--457, July 2010.
[5]
H. Khazaei, 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):936--943, May 2012.
[6]
I. a. Moschakis and H. D. Karatza. Performance and cost evaluation of Gang Scheduling in a Cloud Computing system with job migrations and starvation handling. 2011 IEEE Symposium on Computers and Communications (ISCC), pages 418--423, June 2011.
[7]
B. P. Rimal, A. Jukan, D. Katsaros, and Y. Goeleven. Architectural Requirements for Cloud Computing Systems: An Enterprise Cloud Approach. Journal of Grid Computing, 9(1):3--26, Dec. 2010.
[8]
D. S. H. Rosenthal and D. L. Vargas. Distributed Digital Preservation in the Cloud. International Journal of Digital Curation, 8(1):107--119, June 2013.
[9]
H. Suleman. Utility-based High Performance Digital Library Systems. In Second Workshop on Very Large Digital Libraries, pages 1--8, 2009.
[10]
B. C. Tak, B. Urgaonkar, and A. Sivasubramaniam. To move or not to move: The economics of cloud computing. In Proceedings of the 3rd USENIX Conference on Hot Topics in Cloud Computing, HotCloud'11, pages 5--5, Berkeley, CA, USA, 2011. USENIX Association.
[11]
P. Teregowda, B. Urgaonkar, and C. L. Giles. Cloud Computing: A Digital Libraries Perspective. In 2010 IEEE 3rd International Conference on Cloud Computing, pages 115--122. IEEE, July 2010.
[12]
P. B. Teregowda, B. Urgaonkar, and C. L. Giles. Citeseerx: A cloud perspective. In Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, HotCloud'10, pages 9--9, Berkeley, CA, USA, 2010. USENIX Association.
[13]
J. Varia. Architecting for the cloud: Best practices. http://aws.amazon.com/blogs/aws/new-whitepaper-architecting-for-the-cloud-best-practices, 2011. Retrieved August 23, 2014, from Amazon Web Services Blog.
[14]
C. Vecchiola, S. Pandey, and R. Buyya. High-Performance Cloud Computing: A View of Scientific Applications. 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks, pages 4--16, 2009.
[15]
J. Wu, P. Teregowda, K. Williams, M. Khabsa, D. Jordan, E. Treece, Z. Wu, and C. L. Giles. Migrating a digital library to a private cloud. In Proceedings of the 2nd IEEE International Conference on Cloud Engineering, Boston, MA, 2014.

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      cover image ACM Other conferences
      SAICSIT '14: Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology
      September 2014
      359 pages
      ISBN:9781450332460
      DOI:10.1145/2664591
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      Published: 29 September 2014

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      Author Tags

      1. Amazon AWS
      2. Cloud Computing
      3. Scalability

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