The increased bandwidth made available to consumers has enabled the spread of Massively Multiuser Virtual Environments (MMVEs). MMVEs require fast and frequent updates to be delivered to hundreds or thousands of users. To address these difficult requirements, developers resort to tightly coupled client-server software architectures. In order to provide a better quality of experience, such architectures often compromise scalability, fault tolerance, software reuse, and limit the design of user interactions and gameplay.
Current literature presents several scalable approaches, but fails to deliver a software architecture that is widely adaptable. Our contribution in this paper is twofold: first we categorize scalability practices used by the industry and from literature. Second, we present RCAT (Restful Client-scalable Architecture), an architectural style abiding to the constraints of the REpresentational State Transfer (REST) architectural style while utilizing the scalable approaches learned from prior categorization. This architectural style divides the resource requirements into separate layers and suggests how they can be addressed efficiently in isolation.
Separation of requirements into layers improves software adaptability and evolution, but impacts performance, increasing latency between a client request and the server response. In order to demonstrate the feasibility of our RCAT style, we present experimental results of the performance impact when compared to a monolithic architectural style.
|Advisor:||Lopes, Cristina V.|
|Commitee:||Taylor, Richard N., van der Hoek, Andre|
|School:||University of California, Irvine|
|Department:||Information and Computer Science - M.S.|
|School Location:||United States -- California|
|Source:||MAI 51/05M(E), Masters Abstracts International|
|Subjects:||Information Technology, Computer science|
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