Abstract. This article presents PANGEA, an agent platform to develop open multiagent systems, specifically those including organizational aspects such as virtual agent organizations. The platform allows the integral management of organizations and offers tools to the end user. Additionally, it includes a communication protocol based on the IRC standard, which facilitates implementation and remains robust even with a large number of connections. The introduction of a CommunicationAgent and a Sniffer make it possible to offer web services for the distributed control of interaction.
MMORPG (Massively Multiplayer Online Role Playing Games) is the most popular genre among network gamers, and now attract millions of users, who play simultaneously in an evolving virtual world. This huge number of concurrent players requires the availability of high performance computation servers. Additionally, gaming aware distribution mechanisms are needed to distribute game instances among servers to avoid load imbalances that affect performance negatively. In this work, we tackle the problem of game distribution and scalability by means of a hybrid Client-Server/P2P architecture that can scale dynamically according to the demand. To manage peak loads that occur during the game, we distribute game computation across the system according to the behavior of MMORPGs. We distinguish between the computation associated with the Main Game, that affects all players, and the computation of Auxiliary Games that affects only a few players and acts in isolation from the execution of the Main Game. Taking this distinction into account, we propose a mechanism that is focused in the distribution of Auxiliary Games, as an entity, across the pool of servers and peers of the underlying hybrid architecture. We evaluate the performance of the balancing mechanism taking the criteria of latency and reliability into account, and we compare the effectiveness of the mechanism with a classic approach that applies load balancing to individually players in a Client-Server system. We show that the balancing mechanism based on the latency criteria provides lower latency Appl (2016Appl ( ) 75:2005Appl ( -2029 than the classical proposal, while in relation to reliability, we obtain a failure probability of under 0.9 % in the worst case, which is amply compensated by the scalability provided by the use of the P2P area.
This article presents a proximity detection prototype that uses ZigBee technology. The prototype is primarily oriented to proximity detection within an office environment and some of the particular characteristics specific to such an environment, including the integration of people with disabilities into the workplace. This allows the system to define and manage the different profiles of people with disabilities, facilitating their job assimilation by automatically switching on or off the computer upon detecting the user's presence, or initiating a procedure that automatically adapts the computer to the personal needs of the user.
This paper evaluates the effects on performance of taking the heterogeneity of nodes into account, in terms of number of cores, when MMOFPS (Massively Multiplayer Online First Person Shooter) game services are distributed. Two mapping strategies, Non_Heterogeneity_aware and Heterogeneity_aware, are integrated in a system, called OnDeGaS (On Demand Game Service), which is a hybrid between Client-Server and P2P topologies. Through simulation, we show that the Heterogeneity_aware mechanism has more impact in communication costs, but it is more efficient in exploiting the nodes of the P2P area, as it maps players faster and it creates less computing zones with latency values under the acceptable threshold for MMOFPS games.
In this article an application for mobile devices is presented. This application uses the accelerometer integrated into the own device to detect certain user movements and use them to navigate through the menus. The application is destined to those users with visual incapacity who need an alternative mechanism for the selection of the different options in the menus.
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