Open AccessJournal Article
Cloud Computing. Concepts, Technology & Architecture
235
TL;DR: The purpose of this book is to break down proven and mature cloud computing technologies and practices into a series of well-defined concepts, models, architectures and technology mechanisms.
read more
Abstract: The purpose of this book is to break down proven and mature cloud computing technologies and practices into a series of well-defined concepts, models, architectures and technology mechanisms.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
CloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing
Sebastian Lehrig,Richard Torbjørn Sanders,Gunnar Brataas,Mariano Cecowski,Simon Ivansek,Jure Polutnik +5 more
TL;DR: It is detailed how a deployment on a popular public cloud offering can be instrumented to gain insight into system characteristics such as capacity, scalability, elasticity and efficiency.
44
Developments in integration of advanced monitoring systems
TL;DR: In this article, the authors present a review of the state-of-the-art in the area of advanced monitoring and integration in manufacturing process control and management, focusing on new approaches, standards, developed solutions, and company applications.
44
CARMiCLOC: Context Awareness Middleware in Cloud Computing
Jose Aguilar,Marxjhony Jerez,Ernesto Exposito,Thierry Villemur +3 more
- 01 Oct 2015
TL;DR: CARMiCLOC (Context Awareness in Reflective Middleware Cloud Computing) as discussed by the authors is a web-service based middleware, which can behave as a SaaS (Software as a Service) or as a PaaS.
Development of integrated cloud-based Internet of Things (IoT) platform for asset management of elevated metro rail projects
TL;DR: An integrated cloud-based internet of things (IoT) platform for asset management of elevated metro rail project and this platform will provide information about the vario...
36
E-Learning during COVID-19 Outbreak: Cloud Computing Adoption in Indian Public Universities
TL;DR: In this article, the authors examined the factors that impact the adoption of cloud computing (CC) applications by higher education institutions (HEI) in India and found that competitive advantage (CA), technology compatibility (TC), technology readiness (TR), senior leadership support, security concerns, government support, and vendor support are the significant contributing factors of CC adoption by Indian PUs.
34
References
Cloud Computing Patterns
Christoph Fehling,Frank Leymann,Ralph Retter,Walter Schupeck,Peter Arbitter +4 more
- 01 Jan 2014
TL;DR: If the application scenario for such abstractions and approximations, thus, if the user of the applications does not require consistent data values, a data abstractor should be implemented to increase the beneficial effects of eventually consistent storage offerings.
296
A Heuristic Clustering-Based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment
TL;DR: Simulation results show that compared with the existing works, the proposed approach has reduced the failure number of task deployment events obviously, improved the throughput, and optimized the external services performance of cloud data centers.
174
Digital Enterprise Architecture - Transformation for the Internet of Things
Alfred Zimmermann,Rainer Schmidt,Kurt Sandkuhl,Matthias Wissotzki,Dierk Jugel,Michael Möhring +5 more
- 21 Sep 2015
TL;DR: A new metamodel-based approach for integrating Internet of Things architectural objects is described, which are semi-automatically federated into a holistic Digital Enterprise Architecture environment.
113
Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments
Tara Salman,Deval Bhamare,Aiman Erbad,Raj Jain,Mohammed Samaka +4 more
- 01 Jun 2017
TL;DR: In this article, the authors investigated both detecting and categorizing anomalies rather than just detecting, which is a common trend in the contemporary research works, and argued that such categorization can be applied to multi-cloud environments using the same machine learning techniques.
Systematically Deriving Quality Metrics for Cloud Computing Systems
Matthias Becker,Sebastian Lehrig,Steffen Becker +2 more
- 31 Jan 2015
TL;DR: This short paper derives metrics for scalability, elasticity, and efficiency properties of cloud computing systems using the goal question metric (GQM) method and shows that the GQM plan allows to classify existing metrics.
55
Related Papers (5)
Ruzena Bajcsy,Terry Benzel,Matt Bishop,B. Braden,Carla E. Brodley,Sonia Fahmy,Sally Floyd,Wes Hardaker,Anthony D. Joseph,George Kesidis,Karl N. Levitt,B. Lindell,Peng Liu,David J. Miller,Russ Mundy,Clifford Neuman,Ron Ostrenga,Vern Paxson,P. Porras,Catherine Rosenberg,J. D. Tygar,S. Shankar Sastry,D. Sterne,S. F. Wu +23 more