From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data
Authors:
- Dante D. Sánchez-GallegosDSDante D. Sánchez-Gallegos
- Diana Carrizales-EspinozaDiana Carrizales-Espinoza
- Hugo G. Reyes-AnastacioHRHugo G. Reyes-Anastacio
- J.L. Gonzalez-CompeanJGJ.L. Gonzalez-Compean
- Jesus CarreteroJCJesus Carretero
- Miguel Morales-SandovalMMMiguel Morales-Sandoval
- Alejandro Galaviz-MosquedaAGAlejandro Galaviz-Mosqueda
- 1 December 2020
- journal article
- research article
- Published by Elsevier in Simulation Modelling Practice and Theory
- Vol. 105
Abstract
No abstract availableKeywords
Funding Information
- Comunidad de Madrid
- Secretaría de Ciencia, Humanidades, Tecnología e Innovación
This publication has 27 references indexed in Scilit:
- Pairing-based CP-ABE with constant-size ciphertexts and secret keys for cloud environmentComputer Standards & Interfaces, 2017
- IOTSim: A simulator for analysing IoT applicationsJournal of Systems Architecture, 2017
- Edge Computing: Vision and ChallengesIEEE Internet of Things Journal, 2016
- Integration of Cloud computing and Internet of Things: A surveyFuture Generation Computer Systems, 2016
- DISSECT-CF: A simulator to foster energy-aware scheduling in infrastructure cloudsSimulation Modelling Practice and Theory, 2015
- External integrity verification for outsourced big data in cloud and IoT: A big pictureFuture Generation Computer Systems, 2015
- Continuous Delivery: Huge Benefits, but Challenges TooIEEE Software, 2015
- Task cluster scheduling in a grid systemSimulation Modelling Practice and Theory, 2010
- Efficient end to end data exchange using configurable compressionACM SIGOPS Operating Systems Review, 2005
- Efficient dispersal of information for security, load balancing, and fault toleranceJournal of the ACM, 1989