ABSTRACT
In Internet-of-Media-Things (IoMT) environments, users can access and view high-quality Over-the-Top (OTT) media services anytime and anywhere. As the number of OTT platform users has increased, the original content offered by such OTT platforms has become very popular, further increasing the number of users. Therefore, effective resource-management technology is an essential aspect for reducing service-operation costs by minimizing unused resources while securing the resources necessary to provide media services in a timely manner when the user’s resource-demand rates change rapidly. However, previous studies have investigated efficient cloud-resource allocation without considering the number of users after the release of popular content. This paper proposes a technology for predicting and allocating cloud resources in the form of a Long-Short-Term-Memory (LSTM)-based reinforcement-learning method that provides information for OTT service providers about whether users are willing to watch popular content using the Korean Bidirectional Encoder Representation from Transformer (KoBERT). Results of simulating the proposed technology verified that efficient resource allocation can be achieved by maintaining service quality while reducing cloud-resource waste depending on whether content popularity is disclosed.
ABSTRACT
This study introduces Action Research to present a service program through an interdisciplinary service design approach for promoting the residential stability of elderly people. We extracted design elements (1) “things to do”and (2) “community”and “strategies”, and then made a design framework. According to the framework, we developed a service design program, named “Small Daily Life: “Small Daily Life Tasks”, which provided opportunities to share the elderly people’s daily life via online videos “Small Meeting”, which helped develop a network of relationships outside the home by informing neighbors regarding elderly people’s know-how, and “Small Sharing”, which delivers the results of previous activities to those who need help in the community. Finally, we describe our reflective case study on the presented service program and examine the relationship between social infrastructure and design and their respective roles. This study will expand service design methodologies as presented research procedures, generalized frameworks, and conceptual models that can be referenced in multidisciplinary collaborations.