Efficient I/O intensive multi tenant SaaS system using L4 level cache

Hironao Takahashi, Kinji Mori, Hafiz Farooq Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The Internet through Web services is providing innovative ways of business and flexible computing paradigm. SaaS (Software as a Service) is an emerging new model for software as a service. The number of SaaS services are available in the market such as Twitter, Gmail, Saleforce.com and Google Maps to configure SaaS based Web service system. But, there are several issues to achieve these requirements, Scalable, Configurable, Multi-Tenant-Efficient SaaS model. To meet these requirements, SaaS infrastructure is required to have scale out architecture with data interoperable function without any data contamination. It also needs short latency of time service because Web service is online and follows the remote client-server model. If service response time does not meet them timeliness requirements, users would not be use SaaS application services again. This paper proposes autonomous system architecture for the scalable SaaS infrastructure to meet timeliness and multi- tenant access for SaaS applications. The paper proposes concept and architecture of of L4 cache block level cache for specific data and content and copes with the above issues efficiently. The paper carried out the evaluation of the proposed system architecture and also evaluated VMM environment as well.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010
Pages222-228
Number of pages7
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010 - Nanjing
Duration: 2010 Jun 42010 Jun 5

Other

Other5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010
CityNanjing
Period10/6/410/6/5

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Keywords

  • Block IO device
  • Bonnie Bench mark program
  • IOPS
  • L4 cache
  • Locality of reference
  • Timeliness
  • VMM
  • Write back cache

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Takahashi, H., Mori, K., & Ahmad, H. F. (2010). Efficient I/O intensive multi tenant SaaS system using L4 level cache. In Proceedings - 5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010 (pp. 222-228). [5569903] https://doi.org/10.1109/SOSE.2010.14