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Authors: Yiannis Verginadis 1 ; Iyad Alshabani 2 ; Gregoris Mentzas 1 and Nenad Stojanovic 3

Affiliations: 1 National Technical University of Athens, Greece ; 2 Activeeon, France ; 3 Nissatech Innovation Centre, Serbia

Keyword(s): Big Data Processing, Dynamic Resources Management, Edge Computing.

Abstract: Among the greatest challenges of cloud computing is to automatically and efficiently exploit infrastructural resources in a way that minimises cloud fees without compromising the performance of resource demanding cloud applications. In this aspect the consideration of using processing nodes at the edge of the network, increases considerably the complexity of these challenges. PrEstoCloud idea encapsulates a dynamic, distributed, self-adaptive and proactively configurable architecture for processing Big Data streams. In particular, PrEstoCloud aims to combine real-time Big Data, mobile processing and cloud computing research in a unique way that entails proactiveness of cloud resources use and extension of the fog computing paradigm to the extreme edge of the network. The envisioned PrEstoCloud solution is driven by the microservices paradigm and has been structured across five different conceptual layers: i) Meta-management; ii) Control; iii) Cloud infrastructure; iv) Cloud/Edge comm unication and v) Devices, layers. (More)

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Paper citation in several formats:
Verginadis, Y.; Alshabani, I.; Mentzas, G. and Stojanovic, N. (2017). PrEstoCloud: Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 611-617. DOI: 10.5220/0006359106110617

@conference{closer17,
author={Yiannis Verginadis. and Iyad Alshabani. and Gregoris Mentzas. and Nenad Stojanovic.},
title={PrEstoCloud: Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={611-617},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006359106110617},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - PrEstoCloud: Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing
SN - 978-989-758-243-1
IS - 2184-5042
AU - Verginadis, Y.
AU - Alshabani, I.
AU - Mentzas, G.
AU - Stojanovic, N.
PY - 2017
SP - 611
EP - 617
DO - 10.5220/0006359106110617
PB - SciTePress

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