A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud

IoT (Internet of Things) streaming data has increased dramatically over the recent years and continues to grow rapidly due to the exponential growth of connected IoT devices. For many IoT applications, fast stream query processing is crucial for correct operations. To achieve better query performanc...

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Autores principales:	Fatima Abdullah, Limei Peng, Byungchul Tak
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/ab567f53ced44bcc9052191c5f009f76
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spelling	oai:doaj.org-article:ab567f53ced44bcc9052191c5f009f762021-11-29T00:55:36ZA Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud1530-867710.1155/2021/4811018https://doaj.org/article/ab567f53ced44bcc9052191c5f009f762021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4811018https://doaj.org/toc/1530-8677IoT (Internet of Things) streaming data has increased dramatically over the recent years and continues to grow rapidly due to the exponential growth of connected IoT devices. For many IoT applications, fast stream query processing is crucial for correct operations. To achieve better query performance and quality, researchers and practitioners have developed various types of query execution models—purely cloud-based, geo-distributed, edge-based, and edge-cloud-based models. Each execution model presents unique challenges and limitations of query processing optimizations. In this work, we provide a comprehensive review and analysis of query execution models within the context of the query execution latency optimization. We also present a detailed overview of various query execution styles regarding different query execution models and highlight their contributions. Finally, the paper concludes by proposing promising future directions towards advancing the query executions in the edge and cloud environment.Fatima AbdullahLimei PengByungchul TakHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Fatima Abdullah Limei Peng Byungchul Tak A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud
description	IoT (Internet of Things) streaming data has increased dramatically over the recent years and continues to grow rapidly due to the exponential growth of connected IoT devices. For many IoT applications, fast stream query processing is crucial for correct operations. To achieve better query performance and quality, researchers and practitioners have developed various types of query execution models—purely cloud-based, geo-distributed, edge-based, and edge-cloud-based models. Each execution model presents unique challenges and limitations of query processing optimizations. In this work, we provide a comprehensive review and analysis of query execution models within the context of the query execution latency optimization. We also present a detailed overview of various query execution styles regarding different query execution models and highlight their contributions. Finally, the paper concludes by proposing promising future directions towards advancing the query executions in the edge and cloud environment.
format	article
author	Fatima Abdullah Limei Peng Byungchul Tak
author_facet	Fatima Abdullah Limei Peng Byungchul Tak
author_sort	Fatima Abdullah
title	A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud
title_short	A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud
title_full	A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud
title_fullStr	A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud
title_full_unstemmed	A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud
title_sort	survey of iot stream query execution latency optimization within edge and cloud
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/ab567f53ced44bcc9052191c5f009f76
work_keys_str_mv	AT fatimaabdullah asurveyofiotstreamqueryexecutionlatencyoptimizationwithinedgeandcloud AT limeipeng asurveyofiotstreamqueryexecutionlatencyoptimizationwithinedgeandcloud AT byungchultak asurveyofiotstreamqueryexecutionlatencyoptimizationwithinedgeandcloud AT fatimaabdullah surveyofiotstreamqueryexecutionlatencyoptimizationwithinedgeandcloud AT limeipeng surveyofiotstreamqueryexecutionlatencyoptimizationwithinedgeandcloud AT byungchultak surveyofiotstreamqueryexecutionlatencyoptimizationwithinedgeandcloud
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A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud

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