Munehiro Fukuda

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This paper proposes a mobile-agent-based middleware that benefits remote computer users who wish to mutually offer their desktop computing resource to other Internet group members while their computers are not being used. Key to this resource exchange grid is the use of mobile agents. Each agent represents a client user, carries his/her job requests,(More)
MESSENGERS is a paradigm for the programming of distributed systems. It is based on the principles of autonomous messages, called Messengers, which carry their own behavior in the form of a program. This enables them to navigate freely in the underlying computational network, communicate with one another, and invoke pre-compiled node-resident functions.(More)
Messengers are autonomous objects, each capable of navigating through the underlying network and performing various tasks at each node. Messengers applications are written using navigational commands rather than the send/receive primitives of conventional message-passing approaches. In this paper we contrast the two programming styles. The navigational(More)
With self-migrating computations, the main challenge is the extraction and subsequent restoration of the computation's state during migration. This is very diicult when the navigational statement may be placed anywhere in the code and hence many systems place the burden of state capture on the application programmer. We describe an intermediate approach,(More)
AgentTeamwork is a grid-computing middleware system that dispatches a collection of mobile agents to coordinate a user job over remote computing nodes in a decentralized manner. Its utmost focus is to maintain high availability and dynamic balancing of distributed computing resources to a parallel-computing job. For this purpose, a mobile agent is assigned(More)
Most clusters so far have used WAN or LAN-based network products for communication due to their market availability. However, they do not always match communication patterns in clusters, thus incurring extra overhead. Based on our investigation for such overhead, we have optimized cluster communication at link layer. Partitioning each message in 16-byte(More)
—The recent popularity of sensor networks and cloud computing has brought new opportunities of sensor-cloud integration that facilitates users to immediately forecast the future status of what they are observing. The main challenge is how to establish a series of elastic data channels from sensors to mobile users through data-analyzing jobs running in the(More)
M++ self-migrating threads are C++ compiled objects, capable of constructing computational networks and autonomously migrating themselves over a cluster system. The main goal of M++ is to provide a cluster computing paradigm for multi-agent simulation that has gained popularity in the areas of artificial life and ecological simulations , and biological(More)