The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
pandangan teks lengkap
74
Dengan evolusi sistem teragih autonomi seperti bandar pintar, kenderaan autonomi, kawalan pintar dan sistem penjadualan terdapat peningkatan keperluan untuk pendekatan mengurus pelaksanaan perkhidmatan untuk menyampaikan prestasi masa nyata. Memandangkan perkhidmatan yang dihoskan oleh Awan semakin digunakan untuk menyediakan fungsi kecerdasan dan analitik kepada sistem Internet of Things (IoT), teknik Kualiti Perkhidmatan (QoS) mesti digunakan untuk menjamin penyampaian perkhidmatan yang tepat pada masanya. Kertas kerja ini mengkaji teknik QoS dan Cloud terkini untuk penghantaran perkhidmatan masa nyata dan analisis data. Kajian semula mitigasi straggler dan klasifikasi teknik QoS masa nyata disediakan. Kemudian rangka kerja matematik dibentangkan yang menangkap hubungan antara persekitaran pelaksanaan hos dan perkhidmatan pelaksana yang membolehkan masa tindak balas diramalkan sepanjang pelaksanaan. Rangka kerja ditunjukkan secara eksperimen untuk mengurangkan bilangan pelanggaran QoS sebanyak 21% dan memberikan makluman semasa 14 yang pertamams menyediakan makluman untuk 94% pelanggaran masa hadapan.
David W. McKEE
University of Leeds
Xue OUYANG
University of Leeds
Jie XU
University of Leeds
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Salinan
David W. McKEE, Xue OUYANG, Jie XU, "Facilitating Dynamic RT-QoS for Massive-Scale Autonomous Cyber-Physical Systems" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 8, pp. 1760-1767, August 2018, doi: 10.1587/transcom.2017ADI0001.
Abstract: With the evolution of autonomous distributed systems such as smart cities, autonomous vehicles, smart control and scheduling systems there is an increased need for approaches to manage the execution of services to deliver real-time performance. As Cloud-hosted services are increasingly used to provide intelligence and analytic functionality to Internet of Things (IoT) systems, Quality of Service (QoS) techniques must be used to guarantee the timely service delivery. This paper reviews state-of-the-art QoS and Cloud techniques for real-time service delivery and data analysis. A review of straggler mitigation and a classification of real-time QoS techniques is provided. Then a mathematical framework is presented capturing the relationship between the host execution environment and the executing service allowing the response-times to predicted throughout execution. The framework is shown experimentally to reduce the number of QoS violations by 21% and provides alerts during the first 14ms provide alerts for 94% of future violations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017ADI0001/_p
Salinan
@ARTICLE{e101-b_8_1760,
author={David W. McKEE, Xue OUYANG, Jie XU, },
journal={IEICE TRANSACTIONS on Communications},
title={Facilitating Dynamic RT-QoS for Massive-Scale Autonomous Cyber-Physical Systems},
year={2018},
volume={E101-B},
number={8},
pages={1760-1767},
abstract={With the evolution of autonomous distributed systems such as smart cities, autonomous vehicles, smart control and scheduling systems there is an increased need for approaches to manage the execution of services to deliver real-time performance. As Cloud-hosted services are increasingly used to provide intelligence and analytic functionality to Internet of Things (IoT) systems, Quality of Service (QoS) techniques must be used to guarantee the timely service delivery. This paper reviews state-of-the-art QoS and Cloud techniques for real-time service delivery and data analysis. A review of straggler mitigation and a classification of real-time QoS techniques is provided. Then a mathematical framework is presented capturing the relationship between the host execution environment and the executing service allowing the response-times to predicted throughout execution. The framework is shown experimentally to reduce the number of QoS violations by 21% and provides alerts during the first 14ms provide alerts for 94% of future violations.},
keywords={},
doi={10.1587/transcom.2017ADI0001},
ISSN={1745-1345},
month={August},}
Salinan
TY - JOUR
TI - Facilitating Dynamic RT-QoS for Massive-Scale Autonomous Cyber-Physical Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1760
EP - 1767
AU - David W. McKEE
AU - Xue OUYANG
AU - Jie XU
PY - 2018
DO - 10.1587/transcom.2017ADI0001
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2018
AB - With the evolution of autonomous distributed systems such as smart cities, autonomous vehicles, smart control and scheduling systems there is an increased need for approaches to manage the execution of services to deliver real-time performance. As Cloud-hosted services are increasingly used to provide intelligence and analytic functionality to Internet of Things (IoT) systems, Quality of Service (QoS) techniques must be used to guarantee the timely service delivery. This paper reviews state-of-the-art QoS and Cloud techniques for real-time service delivery and data analysis. A review of straggler mitigation and a classification of real-time QoS techniques is provided. Then a mathematical framework is presented capturing the relationship between the host execution environment and the executing service allowing the response-times to predicted throughout execution. The framework is shown experimentally to reduce the number of QoS violations by 21% and provides alerts during the first 14ms provide alerts for 94% of future violations.
ER -