Cloud Computing Actionable Architecture
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Cloud Computing. Actionable Architecture
Script from the year 2011 in the subject Computer Science - Technical Computer Science, grade: 2.0, , language: English, abstract: This paper will demonstrate a pragmatic methodology, used in conjunction with UML (unified modeling language), BPMN (business process modeling notation) along with engineering principles for describing an actionable architecture for cloud computing in the real world. The fundamental paradigm of cloud computing, whether it is for private or public usage, revolves around the provisioning of services for everyone through rich resources that can be synergized through Internet-based protocols. The true definition of Cloud Computing is, according to the author, all about the practicalities of “outsourcing” all aspects of using computing resources to some form of external “agency”. This means that the assumption for any cloud computing usage is the fact that the “agency” has a powerful resource base (hardware, software, infrastructure, platforms, power supply, backups, failover mechanisms as well as management skills). Therefore, all users of the cloud computing services provided by the “agency” can work in a well-defined “demand-supply” mode, with an insurmountable base of possible fault-tolerant mechanisms to support best possible user experiences. The user will have the unique experience of not being worried about where his/her work is being done because cloud computing, as defined above, will enable him/her to work in a “virtualized” environment but with the feeling of being close to the resources. However, the apparent ease available through cloud computing will raise problems associated with diverse types of risks. Hence, it is imperative to define new architectural blueprints as well as the associated business processes around them so as to provide measurable metrics that will allay the fears of any user. The architectural blueprint is not just meant to be a lot of diagrams and documents but they are to be modeled as actionable artifacts. These actionable artifacts will allow for operational excellence that covers all types of functional as well as non-functional requirements that any user expects. The MDA (model driven architecture) approach, coupled with BPM (business process modeling) and engineering principles, as posited in this paper, will allow for management of distributed communication, scheduling, security enhancements and rights (as well as many other aspects) that will make the user experience enjoyable and successful.
Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth
Author: Daniel Karlsson
language: en
Publisher: SAGE Publications Limited
Release Date: 2018-05-15
The domain of eHealth faces ongoing challenges to deliver 21st century healthcare. Digitalization, capacity building and user engagement with truly interdisciplinary and cross-domain collaboration are just a few of the areas which must be addressed. This book presents 190 full papers from the Medical Informatics Europe (MIE 2018) conference, held in Gothenburg, Sweden, in April 2018. The MIE conferences aim to enable close interaction and networking between an international audience of academics, health professionals, patients and industry partners. The title of this year’s conference is: Building Continents of Knowledge in Oceans of Data – The Future of Co-Created eHealth, and contributions cover a broad range of topics related to the digitalization of healthcare, citizen participation, data science, and changing health systems, addressed from the perspectives of citizens, patients and their families, healthcare professionals, service providers, developers and policy makers. The second part of the title in particular has attracted a large number of papers describing strategies to create, evaluate, adjust or deliver tools and services for improvements in healthcare organizations or to enable citizens to respond to the challenges of dealing with health systems. Papers are grouped under the headings: standards and interoperability, implementation and evaluation, knowledge management, decision support, modeling and analytics, health informatics education and learning systems, and patient-centered services. Attention is also given to development for sustainable use, educational strategies and workforce development, and the book will be of interest to both developers and practitioners of healthcare services.
Beyond Edge Computing
This book explores the most recent Edge and Distributed Cloud computing research and industrial advances, settling the basis for Advanced Swarm Computing developments. It features the Swarm computing concepts and realizes it as an Ad-hoc Edge Cloud architecture. Unlike current techniques in Edge and Cloud computing that solely view IoT connected devices as sources of data, Swarm computing aims at using the compute capabilities of IoT connected devices in coordination with current Edge and Cloud computing innovations. In addition to being more widely available, IoT-connected devices are also quickly becoming more sophisticated in terms of their ability to carry considerable compute and storage resources. Swarm computing and Ad-hoc Edge Cloud take full advantage of this trend to create on-demand, autonomic and decentralized self-managed computing infrastructures. Focusing on cognitive resource and service management, the book examines the specific research challenges of the Swarm computing approach, related to the characteristics of IoT connected devices that form the infrastructure. It also offers academics and practitioners insights for future research in the fields of Edge and Swarm computing.