Big Data Workflows: Locality-Aware Orchestration Using Software Containers

Autor: Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah, Dumitru Roman

Publikováno v: Sensors, Vol 21, Iss 24, p 8212 (2021)

The emergence of the edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider data locality to reduce the

Externí odkaz: https://doaj.org/article/fdd067e28d324a008e0664ffa3bf841a

Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers

Autor: Yared Dejene Dessalk, Dumitru Roman, Akif Quddus Khan, Mihhail Matskin, Amir H. Payberah, Ahmet Soylu, Nikolay Nikolov

Publikováno v: Internet of Things

Big Data processing, especially with the increasing proliferation of Internet of Things (IoT) technologies and convergence of IoT, edge and cloud computing technologies, involves handling massive and complex data sets on heterogeneous resources and i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d67b57db98a213891347b3ef22efa422
https://hdl.handle.net/11250/2983427

Locality-Aware Workflow Orchestration for Big Data

Autor: Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Andrei-Alin Corodescu, Nikolay Nikolov, Dumitru Roman, Amir H. Payberah

Publikováno v: MEDES
Proceedings of the 13th International Conference on Management of Digital EcoSystems

The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that consider data locality in o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6527c44158404c165d7b387eb4d2e554
https://hdl.handle.net/11250/2986026

Using simple PID-inspired controllers for online resilient resource management of distributed scientific workflows

Autor: Ewa Deelman, Malcolm Atkinson, Erola Pairo-Castineira, Rosa Filgueira, Ian M. Overton, Rafael Ferreira da Silva

Publikováno v: Silva, R F D, Filgueira, R, Deelman, E, Pairo-Castineira, E, Overton, I M & Atkinson, M P 2019, ' Using simple PID-inspired controllers for online resilient resource management of distributed scientific workflows ', Future Generation Computer Systems, vol. 95, pp. 615-628 . https://doi.org/10.1016/j.future.2019.01.015
Ferreira da Silva, R, Filgueira, R, Deelman, E, Pairo-Castineira, E, Overton, I & Atkinson, M 2019, ' Using Simple PID-inspired Controllers for Online Resilient Resource Management of Distributed Scientific Workflows ', Future Generation Computing Systems, vol. 95, pp. 615-628 . https://doi.org/10.1016/j.future.2019.01.015

Scientific workflows have become mainstream for conducting large-scale scientific research. As a result, many workflow applications and Workflow Management Systems (WMSs) have been developed as part of the cyberinfrastructure to allow scientists to e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::425cc52c96a16fcb2126726da8a9f26f
https://hdl.handle.net/20.500.11820/290084f7-3949-4c47-99db-5428ae8abb52

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