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Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey [article]

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang (+2 others)
2020 arXiv   pre-print
This paper provides a comprehensive and systematic survey on the development lifecycle of ML-based IoT application.  ...  Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock complete potentials of IoT with intelligence, and IoT applications increasingly feed data collected by  ...  In this survey, we present comprehensive research on orchestrating the development lifecycle of ML-based IoT applications.  ... 
arXiv:1910.05433v5 fatcat:ffvjipmylve6feuzdbav2syxfu

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang (+2 others)
2020 ACM Computing Surveys  
This paper provides a comprehensive and systematic survey of the development lifecycle of ML-based IoT applications.  ...  More importantly, none of them are able to completely orchestrate a holistic development lifecycle of ML-based IoT applications.  ...  In this survey, we present comprehensive research on orchestrating the development lifecycle of ML-based IoT applications.  ... 
doi:10.1145/3398020 fatcat:zzgfcjxjxbhnhf53dmlo63rs3i

Security in product lifecycle of IoT devices: A survey

Narges Yousefnezhad, Avleen Malhi, Kary Främling
2020 Journal of Network and Computer Applications  
A R T I C L E I N F O Index Terms: Internet of things Product lifecycle Lifecycle phases Security solutions Product lifecycle security Device security A B S T R A C T The Internet of Things (IoT) paradigm  ...  In that regard, we provide a comprehensive comparison of state-of-the-art surveys in an initial phase which concentrate on distinct parameters required for IoT security.  ...  Acknowledgment The research leading to this publication is supported by the European Union's Horizon 2020 research and innovation program (bIoTope; grant 688203 and FINEST TWINS; grant 856602) and Academy of  ... 
doi:10.1016/j.jnca.2020.102779 fatcat:junhktapajc75px3n2x6j7tzou

Network Service Orchestration: A survey

Nathan F. Saraiva de Sousa, Danny A. Lachos Perez, Raphael V. Rosa, Mateus A.S. Santos, Christian Esteve Rothenberg
2019 Computer Communications  
Based on the analysis of the state of affairs, we present a series of open challenges and research opportunities, altogether contributing to a timely and comprehensive survey on the vibrant and strategic  ...  We define key concepts and propose a taxonomy of NSO approaches and solutions to pave the way towards a common understanding of the various ongoing efforts around the realization of diverse NSO application  ...  Do not hesitate to contact the authors and/or via github: https://github.com/intrigunicamp/publications/tree/master/NSO-Survey.  ... 
doi:10.1016/j.comcom.2019.04.008 fatcat:rj4dizjtf5gd7fpnzim5ax5sy4

A Survey on Edge Performance Benchmarking

Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal De Lara, Weisong Shi, Christopher Stewart
2021 ACM Computing Surveys  
In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration,  ...  Therefore, it is envisioned that a large-scale, geographically dispersed, and resource-rich distributed system will emerge and play a key role in the future Internet.  ...  devices, and devices that will execute machine-learning-based workloads.  ... 
doi:10.1145/3444692 fatcat:75kmnweazzeppefekfyrxmemze

A Survey on Edge Performance Benchmarking [article]

Blesson Varghese and Nan Wang and David Bermbach and Cheol-Ho Hong and Eyal de Lara and Weisong Shi and Christopher Stewart
2020 arXiv   pre-print
In this context, the performance characteristics of such systems will need to be captured rapidly, which is referred to as performance benchmarking, for application deployment, resource orchestration,  ...  Therefore, it is envisioned that a large-scale, geographically dispersed, and resource-rich distributed system will emerge and play a key role in the future Internet.  ...  devices, and devices that will execute machine-learning-based workloads.  ... 
arXiv:2004.11725v2 fatcat:gyqqgfqf5fe2jk2ntlnd2itmli

Multi-Access Edge Computing: A Survey

Abderrahime Filali, Amine Abouaomar, Soumaya Cherkaoui, Abdellatif Kobbane, Mohsen Guizani
2020 IEEE Access  
Finally, we propose an architectural framework for a MEC-NFV environment based on the standard SDN architecture.  ...  Then, we provide a state-of-the-art study on the different approaches that optimize the MEC resources and its QoS parameters.  ...  To meet a high QoS for IoT applications, authors in [91] developed an approach to carefully place service functions of SFCs in the edge network.  ... 
doi:10.1109/access.2020.3034136 fatcat:ncqn7le65jfshcqnqzy7twrwwu

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

Tarik Taleb, Konstantinos Samdanis, Badr Mada, Hannu Flinck, Sunny Dutta, Dario Sabella
2017 IEEE Communications Surveys and Tutorials  
It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options.  ...  This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies.  ...  In addition, the emerging Internet of Things (IoT) and Machine-Type-Communications (MTC) are expected to introduce a huge number of machine connections, reaching 1 billion by 2020, defining promising business  ... 
doi:10.1109/comst.2017.2705720 fatcat:spzgg3fudvgbfo4fme6cigqh6m

Platforms for Smart Environments and Future Internet Design: A Survey

Antonio M. Alberti, Mateus A. S. Santos, Ricardo Souza, Hirley Dayan L. Silva, Jorge R. Carneiro, Vitor C. Figueiredo, Joel J. P. C. Rodrigues
2019 IEEE Access  
Many others are to come; (vii) AI, machine learning, and big data support are missing not only in TCP/IP-based approaches, but also in future Internet-based.  ...  , security, privacy, communication model, support for AI and machine learning, among other aspects.  ...  [56] have discussed the importance of semantic modeling and semantic-based orchestration in IoT platforms, presenting how FIWARE supports semantic-based components for IoT application development.  ... 
doi:10.1109/access.2019.2950656 fatcat:kxspcj4rjjaulctzqtankmlpjq

Middleware for Internet of Things: A Survey

Mohammad Abdur Razzaque, Marija Milojevic-Jevric, Andrei Palade, Siobhan Clarke
2016 IEEE Internet of Things Journal  
, to enable a range of applications and services.  ...  These proposals mostly addressed Wireless Sensor Networks (WSNs), a key component of IoT, but do not consider Radio-Frequency IDentification (RFID), Machine to Machine (M2M) communications, and Supervisory  ...  Its web-based tools simplify data, control and other application complexities of IoT development. Business services include a device lifecycle management service including device provisioning.  ... 
doi:10.1109/jiot.2015.2498900 fatcat:skqtj45vqzdx3n54nydezv4yde

A Survey on Internet of Things Architectures

P.P. Ray
2016 EAI Endorsed Transactions on Internet of Things  
A main contribution of this survey paper is that it summarizes the current state-of-the-art of Internet of Things architectures in various domains systematically.  ...  This literature surveys Internet of Things oriented architectures that are capable enough to improve the understanding of related tool, technology, and methodology to facilitate developer's requirements  ...  m-Learning A functional model is proposed to cater the needs of futuristic mobile-learning (m-learning) through IoT .  ... 
doi:10.4108/eai.1-12-2016.151714 fatcat:j3bkbm27wvaljederetofsgc2m

A survey on Internet of Things architectures

P.P. Ray
2018 Journal of King Saud University: Computer and Information Sciences  
A main contribution of this survey paper is that it summarizes the current state-of-the-art of Internet of Things architectures in various domains systematically.  ...  This literature surveys Internet of Things oriented architectures that are capable enough to improve the understanding of related tool, technology, and methodology to facilitate developer's requirements  ...  m-Learning A functional model is proposed to cater the needs of futuristic mobile-learning (m-learning) through IoT .  ... 
doi:10.1016/j.jksuci.2016.10.003 fatcat:cwf3kjaddncupb5eqv7fr25y2a

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Omar Sami Oubbati, Mohammed Atiquzzaman, Tariq Ahamed Ahanger, Atef Ibrahim
2020 IEEE Access  
Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies.  ...  However, the UAV assistance paradigm faces a set of crucial issues and challenges.  ...  LEARNED LESSONS Many other unclassified SDN-based UAV applications are also studied in this survey.  ... 
doi:10.1109/access.2020.2994494 fatcat:irogs7xbvrdpzglyx5jrgjftgm

Tactile based Intelligence Touch Technology in IoT configured WCN in B5G/6G-A Survey

Mantisha Gupta, Rakesh Kumar Jha, Sanjeev Jain
2022 IEEE Access  
The survey also introduces a layered and interfacing architecture complete with its E2E solution for the intelligent touch based wireless communication system.  ...  The tactile internet and network slicing serve as the backbone of the touch technology which incorporates intelligence from techniques such as artificial intelligence and machine/deep learning.  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the support provided by 5G and IoT Lab, DoECE, Shri Mata Vaishno Devi University, Katra, Jammu  ... 
doi:10.1109/access.2022.3148473 fatcat:dbzbqyq3efaj7pbfwf4izmju64

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions

Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
2022 ACM Computing Surveys  
In this paper, we present a comprehensive literature review of existing machine learning-based container orchestration approaches.  ...  Moreover, the evolution of machine learning-based container orchestration technologies from the year 2016 to 2021 has been designed based on objectives and metrics.  ...  STATE-OF-THE-ART IN MACHINE LEARNING FOR ORCHESTRATION OF CONTAINERS In this section, we introduce a literature review of machine learning-based container orchestration approaches.  ... 
doi:10.1145/3510415 fatcat:ykmi7diulbesfcqqbqlvrn5pcq
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