ABSTRACT
Fog Computing is a new variety of the cloud computing paradigm that brings virtualized cloud services to the edge of the network to control the devices in the IoT. We present a pattern for fog computing which describes its architecture, including its computing, storage and networking services. Fog computing is implemented as an intermediate platform between end devices and cloud computing data centers. The recent popularity of the Internet of Things (IoT) has made fog computing a necessity to handle a variety of devices. It has been recognized as an important platform to provide efficient, location aware, close to the edge, cloud services. Our model includes most of the functionality found in current fog architectures.
- Amazon. 2015. How the AWS IoT Platform Works. Retrieved February 15, 2016 from https://aws.amazon.com/iot/how-it-works/Google Scholar
- Flavio Bonomi, Rodolfo Milito, Jiang Zhu, and Sateesh Addepalli. 2012. Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing (MCC '12). ACM, New York, NY, USA, 13--16. Google ScholarDigital Library
- Flavio Bonomi, Rodolfo Milito, Preethi Natarajan and Jiang Zhu. 2014. Fog Computing: A Platform for Internet of Things and Analytics. In Big Data and Internet of Things: A Roadmap for Smart Environments, Springer International Publishing Switzerland, 169--186.Google Scholar
- Jan Bosch. 2009. From Software Product Lines to Software Ecosystems. In Proceedings of the 13th Int. Software Product Line Conference (SPLC'09), ACM (August 2009) Carnegie Mellon University, Pittsburgh, PA, USA, 111--119. Google ScholarDigital Library
- F. Buschmann, R. Meunier, H. Rohnert, P. Sommerland, and M. Stal. 1996. Pattern-Oriented Software Architecture. Volume 1: A System of Patterns. Volume 1. Wiley, 1996. Google ScholarDigital Library
- Cisco. 2015. Cisco Fog Computing with IOx. Retrived August 8, 2015 from http://www.cisco.com/web/solutions/trends/iot/cisco-fog-computing-with-iox.pdfGoogle Scholar
- Clinton Dsouza, Gail-Joon Ahn, and Marthony Taguinod. 2014. Policy-driven security management for fog computing: Preliminary framework and a case study. In IEEE 15th International Conference on Information Reuse and Integration (IRI), IEEE (Aug. 2014), 16--23.Google ScholarCross Ref
- Eduardo B. Fernandez, N. Yoshioka, H. Washizaki and M. H. Syed, "Modeling and security in cloud ecosystems", Future Internet 2016, 8(2), 13; (Special Issue Security in Cloud Computing and Big Data),Google Scholar
- Eduardo B. Fernandez, N. Yoshioka and H. Washizaki. 2015. Patterns for Security and Privacy in Cloud Ecosystems. In 2nd International Workshop on Evolving Security and Privacy Requirements Engineering (ESPRE 2015), IEEE (August 2015), 13--18.Google Scholar
- Eduardo B. Fernandez, Raul Monge, and Keiko Hashizume. 2015. Building a security reference architecture for cloud systems. J. Requirements Engineering (June 2015), 1--25. Google ScholarDigital Library
- Eduardo B. Fernandez. 2013. Security Patterns in Practice: Designing Secure Architectures Using Software patterns. J. Wiley Sons, May 2013. Google ScholarDigital Library
- Foghorn. 2016. Foghorn Technology. Retrived October 20, 2016 from https://foghorn-systems.com/technology/Google Scholar
- IBM. 2016. Watson Internet of Things: IoT in the cognitive era. Retrieved February 20, 2016 from http://www.ibm.com/internet-of-things/watson-iot.htmlGoogle Scholar
- Ivan Stojmenovic and Sheng Wen. 2014. The Fog computing paradigm: Scenarios and security issues. In Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (FedCSIS 2014). IEEE, 1--8.Google ScholarCross Ref
- M. H. Syed and E. B. Fernandez. 2015. The Software Container pattern. 22nd Conference on Pattern Languages of Programs (PLoP 2015). Pittsburgh, PA, Oct. 24--26, 2015.Google ScholarDigital Library
- Luis M. Vaquero, and Luis Rodero-Merino. 2014. Finding your way in the fog: Towards a Comprehensive Definition of Fog Computing. ACM SIGCOMM Computer Communication Review. 44, 5 (October 2014), 27--32. Google ScholarDigital Library
- Vortex. 2015. Fog Computing. Retrieved August 8, 2015 from http://www.prismtech.com/vortex/technologies/fog-computingGoogle Scholar
- Dale Willis, Arkodeb Dasgupta, and Suman Banerjee. 2014. Paradrop: a multi-tenant platform for dynamically installed third party services on home gateways. In Proceedings of the 9th ACM workshop on Mobility in the evolving internet architecture (MobiArch '14). ACM, New York, NY, USA, 43--48. Google ScholarDigital Library
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