Cloud4NFICA-Nearness Factor-Based Incremental Clustering Algorithm Using Microsoft Azure for the Analysis of Intelligent Meter Data

2020 ◽  
Vol 10 (2) ◽  
pp. 21-39
Author(s):  
Archana Yashodip Chaudhari ◽  
Preeti Mulay
Keyword(s):  
Smart Grids ◽  
Clustering Algorithm ◽  
Incremental Clustering ◽  
Clustering Method ◽  
Data Types ◽  
Dynamic Data ◽  
Real Dataset ◽  
Processing Power ◽  
Microsoft Azure ◽  
Socioeconomic Data

Intelligent electricity meters (IEMs) form a key infrastructure necessary for the growth of smart grids. IEMs generate a considerable amount of electricity data incrementally. However, on an influx of new data, traditional clustering task re-cluster all of the data from scratch. The incremental clustering method is an essential way to solve the problem of clustering with dynamic data. Given the volume of IEM data and the number of data types involved, an incremental clustering method is highly complex. Microsoft Azure provide the processing power necessary to handle incremental clustering analytics. The proposed Cloud4NFICA is a scalable platform of a nearness factor-based incremental clustering algorithm. This research uses the real dataset of Irish households collected by IEMs and related socioeconomic data. Cloud4NFICA is incremental in nature, hence accommodates the influx of new data. Cloud4NFICA was designed as an infrastructure as a service. It is visible from the study that the developed system performs well on the scalability aspect.

scholarly journals Platforms as service ecosystems: Lessons from social media

2019 ◽  
Vol 35 (1) ◽  
pp. 25-48 ◽  
Author(s):  
Cristina Alaimo ◽  
Jannis Kallinikos ◽  
Erika Valderrama
Keyword(s):  
Social Media ◽  
Data Types ◽  
Dynamic Data ◽  
Content Sharing ◽  
Social Media Platforms ◽  
Service Ecosystems ◽  
Media Platform ◽  
Three Stages ◽  
Platforms And Ecosystems ◽  
Service Ecosystem

The growing business expansion of social media platforms is changing their identity and transforming the practices of networking, data and content sharing with which social media have been commonly associated. We empirically investigate these shifts in the context of TripAdvisor and its evolution since its very establishment. We trace the mutations of the platform along three stages we identify as search engine, social media platform and end-to-end service ecosystem. Our findings reveal the underlying patterns of data types, technological functionalities and actor configurations that punctuate the business expansion of TripAdvisor and lead to the formation of its service ecosystem. We contribute to the understanding of the current trajectory in which social media find themselves as well as to the literature on platforms and ecosystems. We point out the importance of services that develop as commercially viable and constantly updatable data bundles out of diverse and dynamic data types. Such services are essential to the making of the complementarities that are claimed to underlie ecosystem formation.

scholarly journals A Secure and Dynamic Mobile Identity Wallet Authorization Architecture Based on a XMPP Messaging Infrastructure

2013 ◽  
pp. 21-37 ◽  
Author(s):  
Alexandre B. Augusto ◽  
Manuel E. Correia
Keyword(s):  
Identity Management ◽  
Instant Messaging ◽  
Security And Privacy ◽  
Data Types ◽  
Dynamic Data ◽  
Management Framework ◽  
The Public ◽  
User Data ◽  
Dynamic Attributes ◽  
Digital Wallet

In this chapter, the authors propose and describe an identity management framework that allows users to asynchronously control and effectively share sensitive dynamic data, thus guaranteeing security and privacy in a simple and transparent way. Their approach is realised by a fully secure mobile identity digital wallet, running on mobile devices (Android devices), where users can exercise discretionary control over the access to sensitive dynamic attributes, disclosing their value only to pre-authenticated and authorised users for determined periods of time. For that, the authors rely on an adaptation of the OAuth protocol to authorise and secure the disclosure of personal-private user data by the usage of token exchange and new XML Schemas to establish secure authorisation and disclosure of a set of supported dynamic data types that are being maintained by the personal mobile digital wallet. The communication infrastructure is fully implemented over the XMPP instant messaging protocol and is completely compatible with the public XMPP large messaging infrastructures already deployed on the Internet for real time XML document interchange.

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