Towards a scalable and robust multi-tenancy SaaS

Wei Tek Tsai, Qihong Shao, Yu Huang, Xiaoying Bai

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

22 Scopus citations

Abstract

Software-as-as-Service (SaaS) is a new approach for developing software, and it is characterized by its multi-tenancy architecture and its ability to provide flexible customization to individual tenant. However, the multi-tenancy architecture and customization requirements have brought up new issues in software, such as database design, database partition, scalability, recovery, and continuous testing. This paper proposes a hybrid test database design to support SaaS customization with two-layer database partitioning. The database is further extended with a new built-in redundancy with ontology so that the SaaS can recover from ontology, data or metadata failures. Furthermore, constraints in metadata can be used either as test cases or policies to support SaaS continuous testing and policy enforcement.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd Asia-Pacific Symposium on Internetware, Internetware 2010
DOIs
StatePublished - Dec 1 2010
Event2nd Asia-Pacific Symposium on Internetware, Internetware 2010 - Suzhou, China
Duration: Nov 3 2010Nov 4 2010

Publication series

NameProceedings of the 2nd Asia-Pacific Symposium on Internetware, Internetware 2010

Other

Other2nd Asia-Pacific Symposium on Internetware, Internetware 2010
CountryChina
CitySuzhou
Period11/3/1011/4/10

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Keywords

  • Customization
  • Database Partitioning
  • Recovery
  • SaaS
  • Testing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Tsai, W. T., Shao, Q., Huang, Y., & Bai, X. (2010). Towards a scalable and robust multi-tenancy SaaS. In Proceedings of the 2nd Asia-Pacific Symposium on Internetware, Internetware 2010 [8] (Proceedings of the 2nd Asia-Pacific Symposium on Internetware, Internetware 2010). https://doi.org/10.1145/2020723.2020731