Model Management and Analytics for Large Scale Systems

ISBN-10: 0128166509
ISBN-13: 9780128166505
Category: Computers
Pages: 344
Language: English
Published: 2019-09-14
Publisher: Academic Press
Authors: Bedir Tekinerdogan, Mark van den Brand, Mehmet Aksit

Description

Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management. Identifies key problems and offers solution approaches and tools that have been developed or are necessary for model management and analytics Explores basic theory and background, current research topics, related challenges and the research directions for model management and analytics Provides a complete overview of model management and analytics frameworks, the different types of analytics (descriptive, diagnostics, predictive and prescriptive), the required modelling and method steps, and important future directions

Get the book

Similar books

Business Modeling and Software Design: 10th International Symposium, BMSD 2020, Berlin, Germany, July 6-8, 2020, Proceedings
By Boris Shishkov
This book constitutes the refereed proceedings of the 10th International Symposium on Business Modeling and Software Design, BMSD 2020, which took place in Berlin, Germany, in July 2020.
Knowledge Management in the Development of Data-Intensive Systems
By Bruce R. Maxim, Ivan Mistrik, Matthias Galster
Application system sessions, in which the customer would always be offered free shipping in a sampled application system session (visit to ... Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions.
Consistent View-Based Management of Variability in Space and Time
By Sofía, Ananieva
... Model-Based Software Product Lines with DeltaEcore and SiPL: A Comparison”. In: Model Management and Analytics for Large Scale Systems. Elsevier, 2020, pp. 167–201. : 10.1016/B978-0-12-816649-9.00017-X . [190] C. Michael Pilato, Ben ...
Advanced Informatics for Computing Research: 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I
By Pawan Lingras, Xiao-Zhi Gao, Dharm Singh Jat
Exploring cyber intelligence alternatives for countering cyber crime: a continuing case study for the nation. ... Usha Gayatri, P., Chandra Sekharaiah, K.: A case study of multiple cybercrimes against the union of India.
Applied Machine Learning and Data Analytics: 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers
By Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
... Model analytics for defect prediction based on design-level metrics and sampling techniques. In: Model Management and Analytics for Large Scale Systems, pp. 125– 139. Academic Press (2020). https://doi.org/10.1016/B978-0-12-816649 ...
New Trends in Database and Information Systems: ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH,...
By Robert Wrembel, Barbara Catania, Ester Zumpano
... models in Model-Driven Engineering [24, 25]. 1. Tekinerdogan, B., Babur, Ö., Cleophas, L., van den Brand, M., Aksit, M.: Introduction to model management and analytics. In: Model Management and Analytics for Large Scale Systems, pp. 3 ...
Systems Modelling and Management: First International Conference, ICSMM 2020, Bergen, Norway, June 25–26, 2020, Proceedings
By Birgit Vogel-Heuser, Önder Babur, Joachim Denil
... modeling and management – Clone, pattern, and aspect mining for systems models – Visualization of large scale heterogeneous model-based systems – Variability mining and management of model-based systems and model-driven Preface Objectives ...
Data Management in Machine Learning Systems
By Arun Kumar, Jun Yang, Matthias Boehm
DOI: 10.1101/524280 107 [238] A. Mirhoseini, H. Pham, Q. V. Le, B. Steiner, R. Larsen, Y. Zhou, N. Kumar, M. Norouzi, S. Bengio, and J. Dean. Device placement optimization with reinforcement learning. In ICML, 2017.
Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals
By James Lee, Tao Wei, Suresh Kumar Mukhiya
... 104 Dibya Davison 10-15-2018 This is the second table, which holds additional information about the same employee. ... $100000 104 Human Resources $788090 Joining these two tables should produce a third table with combined data.
Run-time Models for Self-managing Systems and Applications
By Li Zhang, Danilo Ardagna
... management problem, namely data placement, and propose promising modeling and optimization techniques that are borrowed from the field of multi-stage inventory control. Section 5 concludes the paper. 2. Data. Analysis. at. a. Large. Scale.