Masaaki Takase

Distributed cache management for context-aware services in large-scale networks

In recent years, the number of messages transferred through networks has skyrocketed with the rising number of network nodes. For example, servers collect variant sensor information and store it. Although related works exist that present cache servers intended to reduce network costs, those cache functions do not work well for short lifetime content because most cached contents with short lifetimes are expired before referral. In this paper, we propose a method to resolve the problem for the coming ubiquitous network society, which is an asynchronous cache management method according to the application requirement. This method enables the CPU load of the servers to be reduced through service and application management for short-lifetime content, too. Furthermore, we propose a load-balancing method using autonomous message exchange instead of a management system. This method enables the CPU load to be balanced over multiple servers.

A Method for Generating Context-Aware Services

There is a need for a context-aware service control platform that dynamically generates proper service execution methods according to the various contexts, instead of developing a variety of service control programs for every context. A method for generating service execution methods by interpreting the context is proposed. This method combines context interpretation information with the context based on the service definition. Semantic constraints, which are introduced as a part of the service definition, generate appropriate service execution methods by specifying how to use the context, and they also improve the processing performance