Brainware Computing: Concepts, Scopes and Challenges
Over the decades, robotics technology has acquired sufficient advancement through the progression of 5G Internet, Artificial Intelligence (AI), Internet of Things (IoT), Cloud, and Edge Computing. Though nowadays, Cobot and Service Oriented Architecture (SOA) supported robots with edge computing par...
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Format: | Article |
Language: | English |
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MDPI AG
2021-06-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/11/11/5303 |
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author | Eui-Nam Huh Md Imtiaz Hossain |
author_facet | Eui-Nam Huh Md Imtiaz Hossain |
author_sort | Eui-Nam Huh |
collection | DOAJ |
description | Over the decades, robotics technology has acquired sufficient advancement through the progression of 5G Internet, Artificial Intelligence (AI), Internet of Things (IoT), Cloud, and Edge Computing. Though nowadays, Cobot and Service Oriented Architecture (SOA) supported robots with edge computing paradigms have achieved remarkable performances in diverse applications, the existing SOA robotics technology fails to develop a multi-domain expert with high performing robots and demands improvement to Service-Oriented Brain, SOB (including AI model, driving service application and metadata) enabling robot for deploying brain and a new computing model with more scalability and flexibility. In this paper, instead of focusing on SOA and Robot as a Service (RaaS) model, we propose a novel computing architecture, addressed as Brainware Computing, for driving multiple domain-specific brains one-at-a-time in a single hardware robot according to the service, addressed as Brain as a Service (BaaS). In Brainware Computing, each robot can install and remove the virtual machine, which contains SOB and operating applications from the nearest edge cloud. Secondly, we provide an extensive explanation of the scope and possibilities of Brainware Computing. Finally, we demonstrate several challenges and opportunities and then concluded with future research directions in the field of Brainware Computing. |
first_indexed | 2024-03-10T10:37:58Z |
format | Article |
id | doaj.art-4cbc6a687b444a649f55e8747a299c69 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T10:37:58Z |
publishDate | 2021-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-4cbc6a687b444a649f55e8747a299c692023-11-21T23:07:34ZengMDPI AGApplied Sciences2076-34172021-06-011111530310.3390/app11115303Brainware Computing: Concepts, Scopes and ChallengesEui-Nam Huh0Md Imtiaz Hossain1Department of Computer Science and Engineering, Kyung Hee University, Global Campus, Yongin-si 17104, KoreaDepartment of Computer Science and Engineering, Kyung Hee University, Global Campus, Yongin-si 17104, KoreaOver the decades, robotics technology has acquired sufficient advancement through the progression of 5G Internet, Artificial Intelligence (AI), Internet of Things (IoT), Cloud, and Edge Computing. Though nowadays, Cobot and Service Oriented Architecture (SOA) supported robots with edge computing paradigms have achieved remarkable performances in diverse applications, the existing SOA robotics technology fails to develop a multi-domain expert with high performing robots and demands improvement to Service-Oriented Brain, SOB (including AI model, driving service application and metadata) enabling robot for deploying brain and a new computing model with more scalability and flexibility. In this paper, instead of focusing on SOA and Robot as a Service (RaaS) model, we propose a novel computing architecture, addressed as Brainware Computing, for driving multiple domain-specific brains one-at-a-time in a single hardware robot according to the service, addressed as Brain as a Service (BaaS). In Brainware Computing, each robot can install and remove the virtual machine, which contains SOB and operating applications from the nearest edge cloud. Secondly, we provide an extensive explanation of the scope and possibilities of Brainware Computing. Finally, we demonstrate several challenges and opportunities and then concluded with future research directions in the field of Brainware Computing.https://www.mdpi.com/2076-3417/11/11/5303brainware computingservice oriented architecture (SOA)service oriented brain (SOB)brain as a service (BaaS) |
spellingShingle | Eui-Nam Huh Md Imtiaz Hossain Brainware Computing: Concepts, Scopes and Challenges Applied Sciences brainware computing service oriented architecture (SOA) service oriented brain (SOB) brain as a service (BaaS) |
title | Brainware Computing: Concepts, Scopes and Challenges |
title_full | Brainware Computing: Concepts, Scopes and Challenges |
title_fullStr | Brainware Computing: Concepts, Scopes and Challenges |
title_full_unstemmed | Brainware Computing: Concepts, Scopes and Challenges |
title_short | Brainware Computing: Concepts, Scopes and Challenges |
title_sort | brainware computing concepts scopes and challenges |
topic | brainware computing service oriented architecture (SOA) service oriented brain (SOB) brain as a service (BaaS) |
url | https://www.mdpi.com/2076-3417/11/11/5303 |
work_keys_str_mv | AT euinamhuh brainwarecomputingconceptsscopesandchallenges AT mdimtiazhossain brainwarecomputingconceptsscopesandchallenges |