In June 2014 an agreement of cooperation was signed among the Paralympic Organizing Committee and 552 universities in regard to the promotion and planning of the Olympics movement for the 2020 Tokyo Olympics. The object of this study was to clarify the challenges for the organizing committee and university cooperation projects in preparing for the 2020 Tokyo Olympics tournament, based on business examples from the Nagano Olympics. As a result of this study, it has been possible to create an environment for sharing information and planning the development of the tournaments of the Paralympics Games based on cooperation and sharing of information from the Nagano Olympics, the Games Organizing Committee, and local universities at the time of the Paralympic Games. Furthermore, to enable information exchange with the organizing committee, training and participation of tournament volunteers has been carried out. In light of this it is considered that, for the 2020 tournaments, it is important to carry out information exchange in cooperation with the business plan of the organization and the Games Organizing Committee and with the cooperation of each university.
To manage cloud computing infrastructures consisting of many servers having a massive number of configuration parameters is quite burdensome for administrators of infrastructures. While some policy-based management approaches have been proposed to maintain the system configuration, it is quite difficult for administrators to define proper configuration policies for parameter settings in large-scale cloud computing infrastructure. To solve this problem, we developed a method of extracting parameter configuration policies from the configuration information of the existing infrastructure using UML/OCL verification. In this method, first we identify the scopes of management from the hierarchical topology of the cloud infrastructure. Next, we execute verifications of two types of OCL constraints (regarding parameter configuration patterns) for the configuration of the infrastructure, while changing the range of the scopes we focus on. By determining whether or not these constraints can be satisfied with some scopes, we extract policies that represent patterns satisfied between parameter settings of servers deployed in a certain range of the scope. Then, we demonstrate that we can derive configuration policies for all of parameters of servers in an actual cloud service infrastructure through a case study.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.