Optimal Effort Allocation Problem Based on the Jump Diffusion Process Model for Edge Computing  
Author Yoshinobu Tamura


Co-Author(s) Hironobu Sone; Ryota Ueki; Shigeru Yamada


Abstract At present, the clouds such as Google, Amazon, and OpenStack are used by many users. Also, open source software are embedded in many cloud services. Recently, StarlingX component of Edge becomes the top project in OpenStack. In particular, the edge computing has more attractive attention than the cloud services. There are many kinds of open source software such as server software, application one, cloud one, edge one, embedded one, etc. Then, the open source software implemented in cloud and edge have the unique futures with the network environment. In this paper, we discuss the optimal effort allocation problem in order to consider the quality trends of OSS in edge computing. Then, several numerical examples based on the jump diffusion process model are shown by using the fault big data recorded on the bug tracking system in an open source project. Finally, we show that the proposed optimal effort allocation method based on statistical model is useful to assess the quality and effort expense of OSS used under the edge computing.


Keywords Edge computing, optimal effort allocation, jump diffusion process model
    Article #:  RQD26-87

Proceedings of 26th ISSAT International Conference on Reliability & Quality in Design
Virtual Event

August 5-7, 2021