DocumentCode
2622144
Title
Dual Validation Framework for Multi-Tenant SaaS Architecture
Author
Pervez, Zeeshan ; Khattak, Asad Masood ; Lee, Sungyoung ; Lee, Young-Koo
Author_Institution
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
fYear
2010
fDate
21-23 May 2010
Firstpage
1
Lastpage
5
Abstract
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.
Keywords
Internet; software architecture; SLA; cloud computing; dual validation framework; multitenant SaaS architecture; quality of service; Application software; Cloud computing; Computer architecture; Context; Context-aware services; Drives; Power engineering and energy; Power engineering computing; Quality of service; Service oriented architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Technology (FutureTech), 2010 5th International Conference on
Conference_Location
Busan
Print_ISBN
978-1-4244-6948-2
Type
conf
DOI
10.1109/FUTURETECH.2010.5482743
Filename
5482743
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