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.
Original language | English |
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Title of host publication | 2010 5th IEEE International Conference on Future Information Technology |
Subtitle of host publication | FutureTech |
Publisher | IEEE |
ISBN (Electronic) | 9781424469505 |
ISBN (Print) | 9781424469482 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | 2010 5th International Conference on Future Information Technology - Busan, Korea, Republic of Duration: 21 May 2010 → 23 May 2010 http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16596 |
Conference
Conference | 2010 5th International Conference on Future Information Technology |
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Abbreviated title | Futuretech |
Country/Territory | Korea, Republic of |
City | Busan |
Period | 21/05/10 → 23/05/10 |
Internet address |
Keywords
- cloud computing
- application software
- computer architecture
- quality of service
- service oriented architecture
- power engineering computing
- power engineering and energy
- drives
- context-aware services
- context