Computing Node Selection Method Based on Proactive Grasping of Computational Performance in End Cloud Environments

Technologies such as volunteer computing, which use computing resources of nodes in the neighborhood of people, have been attracting attention. When using a large number of end nodes with computing power in the neighborhood of people as an “End Cloud,” main problems in selecting an appropriate group of computing nodes that communicate with each other from among the End Cloud include the long physical distances between the computing nodes and the large amount of messages required to precisely grasp the amount of computing resources. In this paper, we propose an algorithm for selecting an appropriate set of computing nodes from the End Cloud taking these problems into account.