Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

A review of cloud-based bim technology in the construction sector

Cloud computing technology is regarded as a major transformational force that is causing unprecedented change across the communication and business disciplines. In the architecture, engineering and construction sector, cloud-BIM integration is considered to be the second generation of building information management (BIM) development, and is expected to produce another wave of change across the construction industry. Despite this, few studies to date have attempted to summarise the research literature on cloud-BIM. This paper explores the literature to identify the substantive work on cloud-BIM, particularly regarding building life cycle management, to provide valuable insight for practitioners and to propose avenues for further research. Thirty academic sources, including refereed journal articles and conference papers, were retrieved and analysed in terms of their research focus and nature of application. The review revealed that most cloud-BIM research has focused on the building planning/design and construction stages. The findings suggest that more research should be directed towards operation, maintenance and facility management, energy efficiency and the demolition and deconstruction stages of building life cycle management. Further empirical research on organisational and legal issues, including security, responsibility, liability and model ownership, of the cloud-BIM model is also needed

SciTech News Volume 71, No. 1 (2017)

Columns and Reports From the Editor 3 Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division Aerospace Section of the Engineering Division 9 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 11 Reviews Sci-Tech Book News Reviews 12 Advertisements IEEE

Learnings from a Cloud Migration Project at a South African Retailer

All industries are aware of the potential benefits of cloud computing, however, the migration to cloud has not been widely adopted by South African retailers. The purpose of this paper is to explore the motivations behind organisations deciding to migrate to cloud and the factors that may impact a successful cloud migration project. The paper discusses a case study that analysed the key drivers and the impact of cloud migration within a retail environment. The empirical findings suggest that skills and competencies largely impact every aspect of cloud migration, from decision making to execution and support. Furthermore, that migrating to cloud will differ based on organisational need and the type of cloud service being adopted. In addition, the findings outlines that best practise may advance as more organisations migrate to cloud environments

Microservice Transition and its Granularity Problem: A Systematic Mapping Study

Microservices have gained wide recognition and acceptance in software industries as an emerging architectural style for autonomic, scalable, and more reliable computing. The transition to microservices has been highly motivated by the need for better alignment of technical design decisions with improving value potentials of architectures. Despite microservices' popularity, research still lacks disciplined understanding of transition and consensus on the principles and activities underlying "micro-ing" architectures. In this paper, we report on a systematic mapping study that consolidates various views, approaches and activities that commonly assist in the transition to microservices. The study aims to provide a better understanding of the transition; it also contributes a working definition of the transition and technical activities underlying it. We term the transition and technical activities leading to microservice architectures as microservitization. We then shed light on a fundamental problem of microservitization: microservice granularity and reasoning about its adaptation as first-class entities. This study reviews state-of-the-art and -practice related to reasoning about microservice granularity; it reviews modelling approaches, aspects considered, guidelines and processes used to reason about microservice granularity. This study identifies opportunities for future research and development related to reasoning about microservice granularity.Comment: 36 pages including references, 6 figures, and 3 table