A performance evaluation of distributed database architectures
- Authors: Chen, Shiping , Ng, Alex , Greenfield, Paul
- Date: 2012
- Type: Text , Journal article
- Relation: Concurrency Computation Practice and Experience Vol. , no. (2012), p.
- Full Text: false
- Reviewed:
- Description: The globally integrated contemporary business environment has prompted new challenges to database architectures in order to enable organizations to improve database applications performance, scalability, reliability and data privacy in adapting to the evolving nature of business. Although a number of distributed database architectures are available for choice, there is a lack of an in-depth understanding of the performance characteristics of these database architectures in a comparison way. In this paper, we report a performance study of three typical (centralized, partitioned and replicated) database architectures. We used the TPC-C as the evaluation benchmark to simulate a contemporary business environment, and a commercially available database management system that supports the three architectures. We compared the performance of the partitioned and replicated architectures against the centralized database, which results in some interesting observations and practical experience. The findings and the practice presented in this paper provide useful information and experience for the enterprise architects and database administrators in determining the appropriate database architecture in moving from centralized to distributed environments. © 2012 John Wiley & Sons, Ltd.
A consolidated process model for identity management
- Authors: Ng, Alex , Watters, Paul , Chen, Shiping
- Date: 2012
- Type: Text , Journal article
- Relation: Information Resources Management Journal Vol. 25, no. 3 (2012), p. 1-29
- Full Text: false
- Reviewed:
- Description: Recently, identity management has gained increasing attention from both enterprises and government organisations, in terms of security, privacy, and trust. A considerable number of theories and techniques have been developed to deal with identity management issues within and between organisations. In this paper, the authors reviewed, assessed, and consolidated the research and development activities of identity management in 14 privately and publicly funded organisations. Furthermore, the authors developed a taxonomy to characterise and classify these identity management frameworks into two categories: processes and technologies. The authors then studied these frameworks by systematically reviewing the whole lifecycle of an identity management framework, including actors, roles, security, privacy, trust, interoperability, and federation. This paper aims to provide the reader with the state of art of existing identity management frameworks and a good understanding of the research issues and progress in this area. Copyright © 2012, IGI Global.
- Description: 2003010402
A performance evaluation of public cloud using TPC-C
- Authors: Yao, Jinhui , Ng, Alex , Chen, Shiping , Liu, Dongxi , Friedrich, Carsten , Nepal, Surya
- Date: 2012
- Type: Text , Conference paper
- Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012 International Conference on Service-Oriented Computing, ICSOC 2012; Shanghai; China; 12 November 2012 through 15 November 2012 Vol. 7759 LNCS, p. 3-13
- Full Text: false
- Reviewed:
- Description: Cloud is becoming the next-generation computing paradigm for enterprises to deploy services and run business. While most Cloud service providers promise some Quality of Service (QoS) through a Service Level Agreement (SLA), it is very hard for Cloud clients to know what impacts these QoS have on their businesses. In this paper, we study this issue by conducting a simple performance evaluation of two public Clouds. We selected TPC-C to benchmark three types of instances (Small, Medium and Large) provided by the Cloud providers in order to find out how the typical online transaction process systems perform on the cloud nodes. Our testing results show that the different Cloud environments deliver very different performance landscapes with different Cloud instances. Our work demonstrates the importance and opportunity to choose the appropriate Cloud instance in achieving an optimal cost-performance ratio for a class of cloud applications. © Springer-Verlag 2013.