Dual validation framework for multi-tenant SaaS architecture

Zeeshan Pervez, Asad Masood Khattak, Sungyoung Lee. Lee, Young-Koo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


Availability of enormous processing power and immense storage capacity drive Cloud computing. Information industry oracles like Google and Microsoft are delivering their next generation of products through Cloud. With the success of Amazon Cloud computing service everyone is laying on line to adopt it. Increased processing capabilities of enterprise servers do not mean that hosted services can handle infinite number of execution load. This massively escalating processing and storage capacity should be utilized effectively. Most of the current research is inclined towards its projected benefits and applications in real world. Being newly adopted, there is a need to set guide lines for Cloud computing paradigm. Myths about its capabilities could derail it, to avoid these misconceptions we have proposed a request validation framework which will help in limiting the processing load on services hosted in Cloud. The proposed framework works by validating the incoming request in its contextual semantics. The proposed framework helps in seamless service up gradation, which helps service provider in delivering quality of service by conforming their SLA.
Original languageEnglish
Title of host publication2010 5th IEEE International Conference on Future Information Technology
Subtitle of host publicationFutureTech
ISBN (Electronic)9781424469505
ISBN (Print)9781424469482
Publication statusPublished - 2010
Externally publishedYes
Event2010 5th International Conference on Future Information Technology - Busan, Korea, Republic of
Duration: 21 May 201023 May 2010


Conference2010 5th International Conference on Future Information Technology
Abbreviated titleFuturetech
Country/TerritoryKorea, Republic of
Internet address


  • cloud computing
  • application software
  • computer architecture
  • quality of service
  • service oriented architecture
  • power engineering computing
  • power engineering and energy
  • drives
  • context-aware services
  • context


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