Outlook on moving of computing services towards the data sources. Issue 4 (August 2016)

• Record Type: Journal Article
• Authors: Akhbar, Farzaneh; Chang, Victor; Yao, Yulin; Méndez Muñoz, Víctor
• Is Part Of: International journal of information management. Volume 36:Issue 4(2016:Aug.)
• Page Start: 645
• Page End: 652
• Publication Date: 2016-08
• Subjects: Big Data -- Internet of things -- Nano data centres -- Cloud computing; Social sciences -- Information services -- Periodicals; Social sciences -- Research -- Periodicals; Information science -- Periodicals; Management information systems -- Periodicals; Knowledge management -- Periodicals; Sciences sociales -- Documentation, Services de -- Périodiques; Sciences sociales -- Recherche -- Périodiques; Sciences de l'information -- Périodiques; Systèmes d'information de gestion -- Périodiques; Information science; Management information systems; Social sciences -- Information services; Social sciences -- Research; Periodicals; Electronic journals; 025.52068
• DOI: 10.1016/j.ijinfomgt.2016.03.014
• Languages: English
• ISSNs: 0268-4012

Abstract

Highlights: We propose a big data architecture to suit the internet of things in data-information and information-knowledge layers. We explore technological possibilities of using nano data centres to move data-information layer towards the source of data. We describe a cloud computing model to integrate the big data analytics in this new internet of things. The proposed architecture alleviates transfers and storage to cope the increasing sizes of data. We present the result of a poll to 300 IT professionals to validate the internet of things adoption in big data. Abstract: The internet of things (IoT) is potentially interconnecting unprecedented amounts of raw data, opening countless possibilities by two main logical layers: become data into information, then turn information into knowledge. The former is about filtering the significance in the appropriate format, while the latter provides emerging categories of the whole domain. This path of the data is a bottom-up flow. On the other hand, the path of the process is a top-down flow, starting at the strategic level of business and scientific institutions. Today, the path of the process treasures a sizeable amount of well-known methods, architectures and technologies: the so called Big Data. On the top, Big Data analytics aims variable association (e-commerce), data mining (predictive behaviour) or clustering (marketing segmentation). Digging the Big Data architecture there are a myriad of enabling technologies for data taking, storage and management. However the strategic aim is to enhance knowledge with the appropriate information, which does need of data, but not vice versa. In the way, the magnitude of upcoming data from the IoT will disrupt the data centres. To cope with the extreme scale is a matter of moving the computing services towards the data sources. This paper explores the possibilities of providing many of the IoT services which are currently hosted in monolithic cloud centres, moving these computing services into nano data centres (NaDa). Particularly, data-information processes, which usually are performing at sub-problem domains. NaDa distributes computing power over the already present machines of the IP provides, like gateways or wireless routers to overcome latency, storage cost and alleviate transmissions. Large scale questionnaires have been taken for 300 IT professionals to validate the points of view for IoT adoption. Considering IoT is by definition connected to the Internet, NaDa may be used to implement the logical low layer architecture of the services. Obviously, such distributed NaDa send results on a logical high layer in charge of the information-knowledge turn. This layer requires the whole picture of the domain to enable those processes of Big Data analytics on the top.