Architecture

About: Architecture is a research topic. Over the lifetime, 25849 publications have been published within this topic receiving 225266 citations.

Software Architecture Transformations

Abstract: In order to understand and improve software, we commonly examine and manipulate its architecture. For example, we may want to examine the architecture at different levels of abstraction or zoom-in on one portion of the system. We may discover that the extracted architecture has deviated from our mental model of the software and hence we may want to repair it. This paper identifies the commonality between these architectural transformation actions – that is, by manipulating the architecture in order to understand, analyze, and modify the software structure, we are in fact performing graph transformations. We categorize useful architectural transformations and describe them within the framework of graph transformations. By describing them in a unified way, we gain a better understanding of the transformations and thus, can work towards modeling, specifying and automating them.

Transform Blockchain into Distributed Parallel Computing Architecture for Precision Medicine

Abstract: This paper provides a vision and proposes mechanisms to transform the blockchain duplicated computing into distributed parallel computing architecture by transforming smart contract which features data driven from the ground up to support moving computing to native data strategy. This new distributed parallel computing architecture can be employed to build a large size of data set from various distributed hosted medical data sets which might consist of personal electronic medical record (EMR) and various medical data. This large medical data set will enable researchers to jump start the deep learning research for medical domain. Distributed data management, distributed data sharing, and distributed learning are the core mechanisms in the new architecture. The required new researches and developments to employ Google federated learning and transfer learning algorithms in this new architecture are discussed. The approach and mechanism enabled by the new architecture is illustrated to build a real world evidence of clinical trial toward personal and precision medicine. Research issues and technical challenges are provided.

Service-Oriented Reference Architecture for Smart Cities

Abstract: The trend towards turning existing cities into smart cities is growing. Facilitated by advances in computing such as Cloud services and Internet of Things (IoT), smart cities propose to bring integrated, autonomous systems together to improve quality of life for their inhabitants. Systems such as autonomous vehicles, smart grids and intelligent traffic management are in the initial stages of development. However, as of yet there, is no holistic architecture on which to integrate these systems into a smart city. Additionally, the existing systems and infrastructure of cities is extensive and critical to their operation. We cannot simply replace these systems with smarter versions, instead the system intelligence must augment the existing systems. In this paper we propose a service oriented reference architecture for smart cities which can tackle these problems and identify some related open research questions. The abstract architecture encapsulates the way in which different aspects of the service oriented approach span through the layers of existing city infrastructure. Additionally, the extensible provision of services by individual systems allows for the organic growth of the smart city as required.