Challenges and Research Directions in Big Data-driven Cloud Adaptivity

Andreas Tsagkaropoulos, Nikos Papageorgiou, Dimitris Apostolou, Yiannis Verginadis, Gregoris Mentzas

2018

Abstract

Mainstream cloud technologies are challenged by real-time, big data processing requirements or emerging applications. This paper surveys recent research efforts on advancing cloud computing virtual infrastructures and real-time big data technologies in order to provide dynamically scalable and distributed architectures over federated clouds. We examine new methods for developing cloud systems operating in a real-time, big data environment that can sense the context of the application environment and can adapt the infrastructure accordingly. We describe research topics linked to the challenge of adaptivity such as situation awareness, context detection, service-level objectives, and the capability to predict extraordinary situations requiring remedying action. We also describe research directions for realising adaptivity in cloud computing and we present a conceptual framework that represents research directions and shows interrelations.

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Paper Citation


in Harvard Style

Tsagkaropoulos A., Papageorgiou N., Apostolou D., Verginadis Y. and Mentzas G. (2018). Challenges and Research Directions in Big Data-driven Cloud Adaptivity.In Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-295-0, pages 190-200. DOI: 10.5220/0006761901900200


in Bibtex Style

@conference{closer18,
author={Andreas Tsagkaropoulos and Nikos Papageorgiou and Dimitris Apostolou and Yiannis Verginadis and Gregoris Mentzas},
title={Challenges and Research Directions in Big Data-driven Cloud Adaptivity},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2018},
pages={190-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006761901900200},
isbn={978-989-758-295-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Challenges and Research Directions in Big Data-driven Cloud Adaptivity
SN - 978-989-758-295-0
AU - Tsagkaropoulos A.
AU - Papageorgiou N.
AU - Apostolou D.
AU - Verginadis Y.
AU - Mentzas G.
PY - 2018
SP - 190
EP - 200
DO - 10.5220/0006761901900200