Browse > Article

A Practical Quality Model for Evaluation of Mobile Services Based on Mobile Internet Device  

Oh, Sang-Hun (숭실대학교 컴퓨터학과)
La, Hyun-Jung (숭실대학교 컴퓨터학과)
Kim, Soo-Dong (숭실대학교 컴퓨터학과)
Abstract
Mobile Internet Device (MID) allows users to flexibly use various forms of wireless internet such as Wi-Fi, GSM, CDMA, and 3G. Using such Internet, MID users can utilize application services. MID usage is expected to grow due to the benefits of portability, Internet accessibility, and other convenience. However, it has resource constraints such as limited CPU power, small memory size, limited battery life, and small screen size. Consequently, MIDs are not capable to hold large-sized complex applications and to process a large amount of data in memory. An effective solution to remedy these limitations is to develop cloud services for the required application functionality, to deploy them on the server side, and to let MID users access the services through internet. A major concern on running cloud services for MIDs is the potential problems with low Quality of Service (QoS) due to the characteristics of MIDs. Even measuring the QoS of such services is more technically challenging than conventional quality measurements. In this paper, we first identify the characteristics of MIDs and cloud services for MIDs. Based on these observations, we derive a number of quality attributes and their metrics for measuring QoS of mobile services. A case study of applying the proposed quality model is presented to show its effectiveness and applicability.
Keywords
Mobile Internet Device; Cloud Computing; Mobile Service; Quality Model; Metric;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ming, Z., et al., "Evaluation of Service Quality for Power Supplying Enterprises Based on Cloud Model," In proceedings of International Conference on Industrial Engineering and Engineering Management (IE&EM 2009), pp.1098-1102, 2009.
2 Prasad, B., Choi, E., and Lumb, I., "A Taxonomy and Survey of Cloud Computing Systmes," In Proceedings of Fifth International Joint Conference INC, IMC, and IDC (NCM 2009), pp.44-51, 2009.
3 Wan, L., Tao, J., and Kunze, M., "Scientific Cloud Computing: Early Definition and Experience," In Proceedings of the 10th International Conference on High Performance Computing and Communications (HPCC 2008), pp.825-830, 2008.
4 Zhang, L., Li, H., and Lam, H., "Services Computing: Grid Applications for Today," IEEE IT Professional Journal, vol.6, pp.5-6, 2004.
5 Vouk, M.A., "Cloud Computing-Issues, Research, and Implementation," In Proceedings of the 30th International Conference on Information Technology Interfaces (ITI 2008), pp.31-40, 2008.
6 Cao, B., Li, B., and Xia, Q., "A Service Oriented QoS-Assured and Multi Agent Cloud Computing Architecture," In Proceedings of CloudCom 2009, LNCS 5931, pp.644-649, December 2009.
7 Xiong, K. and Perros, H., "Service Performance and Analysis in Cloud Computing," In proceedings of World Conference on Services-I 2009, pp.693- 700, 2009.
8 Lee, J., et al., "A Quality Model for Evaluating Software as a Service in Cloud Computing," In proceedings of International Conference on Software Engineering Research, Management and Applications (SERA 2009), pp.261-266, 2009.
9 Nallur, V., Bahsoon, R., and Yao, X., "Self Optimizing Architecture for Ensuring Quality Attributes in the Cloud," In proceedings of IEEE/IFIP Conference on Software Architecture, 2009 & European Conference on Software Architecture, (WICSA/ ECSA 2009), pp.281-284, 2009.
10 Thanh, D. and Jorstad, I., "A Service-Oriented Architecture Framework for Mobile Services," In Proceedings of the Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference / E-Learning on Telecommunications Workshop (AICT/ SAPIR/ELETE'05), pp.65-70, 2005.
11 Song, H., et al., "Metric, Methodology, and Tool for Performance-Considered Web Service Composition," In the Proceedings of ISCIS 2005, LNCS 3733, pp.392-401, November 2005.
12 Kim, D., et al., "Improving Web Services Performance using Priority Allocation Method," In Proceedings of NWeSP 2005, pp.22-26, August 2005.
13 Her, J., Choi, S., Oh, S. and Kim, S., "A Framework for Measuring Performance in Service- Oriented Architecture," In proceedings of the International Conference on Next Generation Web Services Practices (NWeSP'07), 29-31 October 2007.
14 Gillett, F., "Future View: The New tech Ecosystems of Cloud, Cloud Services, And Cloud Computing," Making Leaders Successful Every Day, FORRESTER Research, August, 2008.
15 Klock, C., Jakel, H., and Jondral, F., "Introduction of an analytical Figure of Merit for Quality of Service Measurement," In Proceedings of IEEE 64th Vehicular Technology Conference (VTC 2006), pp.1-5, 2006.
16 Gmach, D., et al., "An Integrated Approach to Resource Pool Management: Plolicies, Efficiency and Quality Metrics," In Proceedings of International Conference on Dependable Systems & Networks (DSN 2008), pp.326-335, 2008.
17 Lawton, G., "Moving the OS to the Web," IEEE Computer Journal, vol.41, pp.16-19, 2008.
18 Aymerich, F.M., Fenu, G., and Surchis, S., "An Approach to a Cloud Computing Network," In Proceedings of the 1st International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2008), pp.113-118, 2008.
19 George H. F. and John Z., "The Challenges of Mobile Computing," Computer, vol.27, no.4, pp.38- 47, IEEE Computer Society Press, April, 1994.   DOI   ScienceOn
20 Tergujeff, R., Haajanen, J., Leppanen, J., and Toivonen, S., "Mobile SOA: Service Orientation on Lightweight Mobile Devices," In Proceedings of 2007 IEEE International Conference on Web Services (ICWS 2007), pp.1224-1225, 2007.