An Optimized Strategy for Data Service Response with Template-Based Caching and Compression
详细信息    查看全文
  • 作者:Zhang Peng (20) (21)
    Xu Kefu (20) (21)
    Li Yan (22)
    Guo Li (20) (21)
  • 关键词:data integration ; message template ; data caching ; data compression ; SOAP ; data service
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2014
  • 出版时间:2014
  • 年:2014
  • 卷:8377
  • 期:1
  • 页码:394-405
  • 参考文献:1. Carey, M.J., Onose, N., Petropoulos, M.: Data Services. Communication of ACM聽55(6), 86鈥?7 (2012) CrossRef
    2. Zhang, P., Wang, G., Ji, G., Liu, C.: Optimization Update for Data Composition View Based on Data Service. Chinese Journal of Computers聽34(12), 2344鈥?354 (2011) CrossRef
    3. Han, Y., Wang, G., Ji, G., Zhang, P.: Situational data integration with data services and nested table. In: Service Oriented Computing and Application, pp. 1鈥?2 (2012)
    4. Lin, H., Zhang, C., Zhang, P.: An optimization strategy for mashups performance based on relational algebra. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds.) APWeb 2012. LNCS, vol.聽7235, pp. 366鈥?75. Springer, Heidelberg (2012) CrossRef
    5. Takeuchi, Y., Okamoto, T., Yokoyama, K., Matsuda, S.: A Differential-Analysis Approach for Improving SOAP Processing Performance. In: Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE 2005), pp. 472鈥?79 (2005)
    6. Makino, S., Tatsubori, M., Tamura, K., Nakamura, Y.: Improving WS Security Performance with a Template Based Approach. In: ICWS 2005, pp. 581鈥?88 (2005)
    7. Teraguchi, M., Makino, S., Ueno, K., Chung, H.-V.: Optimized Web Services Security Performance with Differential Parsing. In: Dan, A., Lamersdorf, W. (eds.) ICSOC 2006. LNCS, vol.聽4294, pp. 277鈥?88. Springer, Heidelberg (2006) CrossRef
    8. Bal, H.E., Bhoedjang, R., Hofman, R., et al.: Performance evaluation of the Orca shared-object system. ACM Trans. Comput. Syst.聽16(1), 1鈥?0 (1998) CrossRef
    9. Takase, T., Tatsubori, M.: Efficient Web Services response caching by selecting optimal data representation. In: Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS 2004), pp. 188鈥?97. IEEE Computer Society (2004)
    10. Ericsson, M.: The effects of XML compression on SOAP performance. WWW Journal聽10(3), 279鈥?07 (2007)
    11. Liefke, H., Suciu, D.: XMill: an efficient compressor for XML data. ACM SIGMOD Record, 153鈥?64 (2000)
    12. National Institute of Standards and Technology. Secure hash standard (May 2010), http://csrc.nist.gov/publications/fips/fips180-2/fips180-2withchangenotice.pdf
  • 作者单位:Zhang Peng (20) (21)
    Xu Kefu (20) (21)
    Li Yan (22)
    Guo Li (20) (21)

    20. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
    21. National Engineering Laboratory for Information Security Technologies, Beijing, China
    22. National Computer Network Emergency Response Technical Team, Beijing, China
  • ISSN:1611-3349
文摘
Data service is a specialization of Web service, and end-users can synthesize cross-organizational data by composing data services. As composite schemes overlap each other, some primitive data services could be called repeatedly by composite data services, so that the response delay and server load are aggravated. In this paper, an optimized strategy for data service response with template-based caching and compression is proposed. Firstly, the strategy uses the message template to extract the application-relevant values from SOAP messages. Secondly, the strategy holds the objects from application-relevant values rather than XML representations to decrease the overhead of SOAP message parsing. Thirdly, the strategy uses the XMill compression algorithm to decrease the volume of data transmitted. Extensive experiments based on Spring-WS-Test benchmark demonstrate the strategy is an effective approach to reduce response latency and server load compared to non-caching tehcnniques.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700