Matrix Factorization Techniques for Recommender Systems

The Object Management Group's (OMG) Model Driven Architecture (MDA) strategy envisages a world where models play a more direct role in software production, being amenable to manipulation and transformation by machine. Model Driven Engineering (MDE) is wider in scope than MDA. MDE combines process and analysis with architecture. This article sets out a framework for model driven engineering, which can be used as a point of reference for activity in this area. It proposes an organisation of the modelling 'space' and how to locate models in that space. It discusses different kinds of mappings between models. It explains why process and architecture are tightly connected. It discusses the importance and nature of tools. It identifies the need for defining families of languages and transformations, and for developing techniques for generating/configuring tools from such definitions. It concludes with a call to align metamodelling with formal language engineering techniques.

Model Driven Engineering

Summary
Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications. Cloud computing offers services at the infrastructure level that can scale to IoT storage and processing requirements. However, there are applications such as health monitoring and emergency response that require low latency, and delay that is caused by transferring data to the cloud and then back to the application can seriously impact their performances. To overcome this limitation, Fog computing paradigm has been proposed, where cloud services are extended to the edge of the network to decrease the latency and network congestion. To realize the full potential of Fog and IoT paradigms for real-time analytics, several challenges need to be addressed. The first and most critical problem is designing resource management techniques that determine which modules of analytics applications are pushed to each edge device to minimize the latency and maximize the throughput. To this end, we need an evaluation platform that enables the quantification of performance of resource management policies on an IoT or Fog computing infrastructure in a repeatable manner. In this paper we propose a simulator, called iFogSim, to model IoT and Fog environments and measure the impact of resource management techniques in latency, network congestion, energy consumption, and cost. We describe two case studies to demonstrate modeling of an IoT environment and comparison of resource management policies. Moreover, scalability of the simulation toolkit of RAM consumption and execution time is verified under different circumstances.

iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

LNBIP reports state-of-the-art results in areas related to business information systems and industrial application software development – timely, at a high level, and in both printed and electronic form.  The type of material published includes  • Proceedings (published in time for the respective event) • Postproceedings (consisting of thoroughly revised and/or extended final papers) • Other edited monographs (such as, for example, project reports or invited volumes) • Tutorials (coherently integrated collections of lectures given at advanced courses, seminars, schools, etc.) • Award-winning or exceptional theses LNBIP is abstracted/indexed in DBLP, EI and Scopus. LNBIP volumes are also submitted for the inclusion in ISI Proceedings.

Lecture notes in business information processing

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Context: Business Process Model and Notation (BPMN) is the de facto standard for business process modeling. It was developed by the Object Management Group with support of the major organizations in the fields of software engineering and information systems. Despite its wide use, when it comes to representing ubiquitous business processes, this business process modeling language is lacking. Objective: To address BPMN’s deficiency in representing ubiquitous business processes, we extend it and present uBPMN (or ubiquitous BPMN). Method: First, we analyze the modeling requirements for representing ubiquitous business processes. Based on the requirements, we conservatively extend the Meta-Object Facility meta-model and the XML Schema Definition of BPMN as well as extend the notation. The extension, that we call uBPMN follows the same outline as set by the Object Management Group for BPMN. Results: The proposed uBPMN not only allows for modeling ubiquitous business processes but also lays the groundwork for potentially deploying a variety of ubiquitous computing technologies. We illustrate all of uBPMN’s capabilities and benefits with real-life examples. Conclusion: uBPMN extends BPMN v2.0 with new capabilities to deal with ubiquitous computing technologies.

uBPMN: A BPMN extension for modeling ubiquitous business processes

Due to the cut throat competition among organizations, business process improvement is now an everyday activity. A relentless activity that makes business processes more complex than ever. As they get more complex, the improvement rounds become time-consuming, costly and the quality of each outcome is put into jeopardy, which is somehow paradoxical with the concept of improvement. In this paper, we propose a business process improvement technique based on ubiquitous computing. First, we couple business processes with ubiquitous computing and define a ubiquitous business process. Then, we explain how ubiquitous computing positively impacts the performance metrics of business processes. Afterwards, we set a specification for designing ubiquitous business processes by extending BPMN. Finally, we propose a concrete case study about time-banking to corroborate our theory. A comparative study of the same process, in ubiquitous and non-ubiquitous versions, is established. The results clearly illustrate that ubiquitous computing impacts positively the business process performance metrics. Still, the case study corroborates that ubiquitous computing not only improves a business process but also enables it to get improved with the least of human interventions.

The Use of Ubiquitous Computing for Business Process Improvement

Many entities, both in academia and the business sector, urge an efficient improvement of business processes. However, when it comes to addressing this point, each slight disparity in the business rules and/or objectives translates into a separate model, which is neither practical nor acceptable as it burdens the host process-aware information system with repetitive and almost verbatim instances. To solve this issue, we propose considering variability. Variability will serve as a business process improvement technique to efficiently design and run a variable business process throughout different business situations that are similar to one another is some ways yet differ in others. First, we define variability within the context of business processes. Second, we present a set of variability patterns and explain how they are used. We validate our approach via the business process improvement patterns known and used by the community. The variability design patterns are a series of business process improvement patterns for building business process with variability and efficiently acting on the improved process performance metrics.

Variability patterns for business processes in BPMN

C2IoT: A framework for Cloud-based Context-aware Internet of Things services for smart cities

Business process improvement is a management exercise where we can use different methodologies to analyze and identify areas that can be improved. Especially, the manufacturing domain which presents several manifestations of transformations of materials to products. Thus, the design of each of the production flow, the movement flow and the information flow present a key of improvement capabilities. Business process identifies those different flows. Business Process Model and Notation (BPMN) is an industry standard for modelling business processes. BPMN can be used by all stakeholders involved in business processes. Consequently, BPMN creates a standardized bridge between business process design and implementation.This standard is not being applied to the manufacturing process so far. In this work, the aim is to propose BPMN extension to support process modelling in this field.

Rajaa Saidi

Papers

uBPMN: A BPMN extension for modeling ubiquitous business processes

The Use of Ubiquitous Computing for Business Process Improvement

Variability patterns for business processes in BPMN

C2IoT: A framework for Cloud-based Context-aware Internet of Things services for smart cities

Proposal of BPMN extensions for modelling manufacturing processes