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| Author(s): |
Lucas Junqueira Adami
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2015-10-13 |
| Examining board members: |
Júlio Cezar Estrella;
Luiz Fernando Bittencourt;
Francisco José Monaco
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| Advisor: | Júlio Cezar Estrella |
| Abstract | |
In the past years, the complexity and variety of available services expanded in the Internet, fact that is drawing attention of many researchers that wish to find out efficient techniques of routing client requests to the closest server, being one of them known as application layer anycast (ALA). Thus, the objective of this research is to elaborate ways to offer application layer anycast that are scalable and select the closest servers with the shortest latency possible, in the context of cloud computing. To achieve this goal, a new system was proposed (GALA, Global Application Layer Anycast). It inherits features from an existing system and applies geolocation to improve its overall performance. Simulation results indicated that the new system, compared to its antecessor, has the same efficiency but decreases considerably the requests latency. Yet, the proposed system was deployed in a real environment to strengthen the simulations results. With the obtained data, the modeled system was validated and its efficiency confirmed. (AU) | |
| FAPESP's process: | 13/05635-4 - Development of application layer anycast techniques to provide quality of service in cloud computing |
| Grantee: | Lucas Junqueira Adami |
| Support Opportunities: | Scholarships in Brazil - Master |