With the increasing number of robots in industrial environments, scientists/technologists were often faced with issues on cooperation, coordination and collaboration among different robots and their self governance in the work space. This has led to the development of systems with several cooperative robotic agents. (Kim et al., 1997b). Generally, a system with several robotic agents (multi-rob...

Load balancing is a critical issue for achieving good performance in parallel and distributed systems. However, this issue is neglected in the research area of software DSMs in the past decade. Based on the observation that scienti c applications can be classi ed into two categories: iterative and non-iterative, we propose two dynamic scheduling schemes for these two cases respectively in this ...

We consider the problem of optimally allocating tasks, expressed as global linear temporal logic (LTL) specifications, to teams heterogeneous mobile robots different types. Each task may require multiple To obtain a scalable solution, we propose hierarchical approach that first allocates specific tasks using information about contained in nondeterministic B <inline-formula xmlns:mml="http://www...

This paper makes two contributions. First, we introduce a model for evaluating the performance of data allocation and replication algorithms in distributed databases. The model is comprehensive in the sense that it accounts for I/O cost, for communication cost, and for limits on the minimum number of copies of the object (to ensure availability). The second contribution of this paper is the int...

Since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.Cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. Presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. This rese...