A Trap-Door Method for Subscription-Based Mobile Content
Toshihiko Yamakami
Abstract
Toshihiko Yamakami
Abstract
Scalability design in the mobile Internet Web servers is increasing its importance. The performance improvement for scalable mobile Internet service requirement is increased as the mobile Internet penetrates into every day life. The mobile Internet enabled opportunities for subscription-based charged content for content providers. In order to cope with the scalability design issues, it is important to identify the bottlenecks and propose improvement in the practical use scenes. The author analyzed a content adaptation system for subscription-based content. The author identified the inefficiencies in the subscription check part and the content adaptation part. The author proposes a novel approach, a trap-door method, to minimize the subscription check overhead and the adaptation overhead. The trap-door method utilizes the authentication only at the first access to the charged content. The processing flow is described. The performance improvement based on the real server performance observation is discussed.
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Scalability design in the mobile Internet Web servers is increasing its importance. The performance improvement for scalable mobile Internet service requirement is increased as the mobile Internet penetrates into every day life. The mobile Internet enabled opportunities for subscription-based charged content for content providers. In order to cope with the scalability design issues, it is important to identify the bottlenecks and propose improvement in the practical use scenes. The author analyzed a content adaptation system for subscription-based content. The author identified the inefficiencies in the subscription check part and the content adaptation part. The author proposes a novel approach, a trap-door method, to minimize the subscription check overhead and the adaptation overhead. The trap-door method utilizes the authentication only at the first access to the charged content. The processing flow is described. The performance improvement based on the real server performance observation is discussed.
Key concepts: Computer science, Scalability, Overhead (engineering), The Internet, Server, Trap (plumbing), Content adaptation, Adaptation (eye)