Architecturing elastic edge storage services for data-driven decision making

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Journal Title
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Volume Title
Conference article in proceedings
Date
2019-01-01
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Mcode
Degree programme
Language
en
Pages
9
97-105
Series
Software Architecture - 13th European Conference, ECSA 2019, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 11681 LNCS
Abstract
In the IoT era, a massive number of smart sensors produce a variety of data at unprecedented scale. Edge storage has limited capacities posing a crucial challenge for maintaining only the most relevant IoT data for edge analytics. Currently, this problem is addressed mostly considering traditional cloud-based database perspectives, including storage optimization and resource elasticity, while separately investigating data analytics approaches and system operations. For better support of future edge analytics, in this work, we propose a novel, holistic approach for architecturing elastic edge storage services, featuring three aspects, namely, (i) data/system characterization (e.g., metrics, key properties), (ii) system operations (e.g., filtering, sampling), and (iii) data processing utilities (e.g., recovery, prediction). In this regard, we present seven engineering principles for the architecture design of edge data services.
Description
Keywords
Adaptation, Architectural design, Edge computing, Edge data service, Engineering, IoT, Service computing
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Citation
Lujic , I & Truong , H L 2019 , Architecturing elastic edge storage services for data-driven decision making . in T Bures , L Duchien & P Inverardi (eds) , Software Architecture - 13th European Conference, ECSA 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 11681 LNCS , Springer , pp. 97-105 , European Conference on Software Architecture , Paris , France , 09/09/2019 . https://doi.org/10.1007/978-3-030-29983-5_7