Development Strategy of Smart Internet of Things System
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Abstract:
The Internet of Things (IoT) is an important component of the new digital infrastructure and is deeply integrated with the fifth-generation mobile communication (5G), big data, cloud computing, artificial intelligence (AI), blockchain, and digital twin. It is profoundly changing the technology system and promoting the digital economy, ushering in a new stage of smart IoT system in which everything is connected. This paper reviews the development status of IoT in China, proposes the concept of smart IoT system (IoT 2.0), and expounds on the implications, architecture, technical pedigree, and key enabling technologies. Practical cases of smart IoT system are explored considering the application scenarios of intelligent manufacturing, smart agriculture, smart grid, smart healthcare, intelligent transportation, and intelligent environmental protection, demonstrating the application values of the smart IoT system. Furthermore, we suggest that a technology integration innovation project that integrates IoT, AI, 5G, and new application field technologies should be implemented; focus should be placed on the research, development, and industrialization of intelligent products such as smart IoT systems / cloud native platforms / low-code (no-code) application development environments and toolsets, high-end sensors for smart IoT systems, and IoT chips / special components; and application demonstration of cloud-edge-end collaborative, autonomous controllable, safe, and credible smart IoT systems should be conducted.Keywords:
Smart system
Cloud Computing has now become a base technology for various other technologies including Internet of Things, Big Data Technologies and many other technologies, the responsibility of Cloud become critical in case of real time applications where the cloud services are required in real time. Delay in the response from Cloud may lead to serious consequences even loss of lives where the processes data from cloud must reach within predefined time interval. The performance of Cloud has experienced delays with the current infrastructure due to multiple issues in Traditional Cloud Network Model. The Paper suggests a proposed architecture Cloud Mini Data Centers simulated using Cloud Analyst to minimize the delays of Cloud Service delivery. The paper also simulate traditional cloud Network model using Cloud Analyst and provides a comparative study of both models.
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사물인터넷은 단말기 중심 센싱(RFID) 기술, 유무선 통신 및 네트워크 인프라, IoT 서비스 인터페이스 기술, 보안 기술, 빅 데이터와 서비스 기술이 상호 연동되어 명확한 타깃 고객에게 실질적 가치를 제공한다. IoT는 단말기 중심에게 기술개 발이 전개되었다. 향후 인간의 역할을 최소화하면서 사물들은 온도, 습도, 열, 가스, 조도, 초음파 센서부터 원격감지, 전자 파흡수율(SAR), 레이더, 위치, 모션, 영상센서 등의 정보를 공유하는 서비스를 하게 된다. 웨어러블 센싱 기술은 사람과 사 물, 사물 상호간에 통신할 수 있는 통로와 인터페이스 역할을 한다. 센싱은 정보를 수집, 처리, 관리하고 정보가 서비스로 구현되기 위한 최첨단이라 할 수 있다. 인터페이스 서비스에 있어서는 단말기기, 콘텐츠, 플랫폼, 네트워크 방식이 함께 구 동되어야 한다. 본 연구는 단말기 중심 IoT 제품 사례를 기반으로 표준기구 위에서 IoT의 공통 서비스 플랫폼으로 개방형 생태계를 구성하는 IoT 공통 서비스 플랫폼의 필요성을 제기했다. 따라서 IoT 응용서비스, IoT 디바이스, 센서 및 부품, IoT 플랫폼, IoT 보안 솔루션 분야에서 IoT 표준 연구 분야로 5G, 사물인터넷, U-헬스, 빅 데이터 활용 Health care, 편리 하고 안전한 환경을 마련하는 서비스 플랫폼 연구가 필요하다. 향후 IoT는 누구에게나 안전하고 편리한 서비스를 제공할 수 있는 오픈 이노베이션 생태계를 위한 인간 중심에서 서비스 환경이 있어야 한다.
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Abstract: The cloud computing has completely changed the IT infrastructure and also the businesses associated with it. Unfortunately, the demand for cloud infrastructure is growing rapidly, so is that the energy consumption of information centers. Here is when the green cloud computing comes into play. Green cloud computing refers to the environmental benefits of switching your IT services to the cloud. it's also benefits of green cloud computing together with the uses cloud hosting services. Keywords: Green cloud computing, Network, Green information, technology.
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education of cloud engineers will be crucial for the continued development of cloud technologies. We have developed an open-source software platform called edubase Cloud for education. The platform has multi-cloud architecture. In this paper, we discuss how edubase Cloud provides an alterable cloud platform and how effective it is for educating cloud engineers.
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본 연구는 사물인터넷(IoT: Internet of Things) 기술 인력수요 구조의 분석과 전망을 목적으로 하고 있다. 본 연구에서는 “사물인터넷 산업 실태조사(2015~2019)” 자료를 기반으로 “고용보험” 데이터와 비교를 통해 2029년까지 IoT 산업 및 직업별 인력 수요 전망 결과를 도출한다. IoT 인력수요 생태계는 크게 디바이스(HW) 산업과 서비스(SW) 산업으로 분류할 수 있다. 전망기간 중 IoT 플랫폼과 IoT 서비스 산업의 SW 직종을 중심으로 고용이 창출될 것으로 예상된다. 반면에 IoT 디바이스와 IoT 네트워크 산업 등 HW 관련 산업은 비중과 고용이 정체 혹은 감소할 것으로 전망된다. IoT 서비스 산업에서는 IoT 관련 응용 서비스와 각 산업에 적용되는 IoT를 제어하고 응용 서비스 개발을 위한 SW 인력이 다수 필요하다. HW를 개발할 때에도 적용을 위한 SW 인력이 필수적으로 필요하여 SW 관련 직종에서 지속적으로 고용이 창출될 것으로 전망된다. IoT 기술의 확산은 저전력화, 보안 이슈와 연계되어 산업을 세분화시키고 있다. 또한 데이터 활용과 분석 등 데이터를 산업에 접목시킬 수 있는 능력, SW 적용 및 해당산업 내 전문기술을 융합할 수 있는 능력 등 전문적인 직무 능력을 갖춘 숙련인력 양성을 필요로 한다.
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The proper education of engineers will be crucial for the continued development of cloud technologies. We have developed a cloud called edubase Cloud for information technology education. In this paper, we discuss how edubase Cloud supports cloud educational materials through a case study and how effective it is for educating cloud engineers.
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Computer without network connectivity is an exception today. Earlier everyone was using the computer to solve its individual problem. Now a days these problems related application is not available on the standalone desktop, these applications are working as a client server application. In this system, server part is available at some remote machine while the client part is available at user's machine. Cloud computing is implemented using the four deployment models private cloud, public cloud, cloud hybrid and community cloud. Some of the user organization feels that the data can be misused by the company who owned the infrastructure. As a result, either they do not use the cloud services hosted on public cloud or they use only some limited services, so negate the use of cloud computing to a great extent. The solution to this is provided by the evolution of hybrid cloud. The corporate that feels security as one of the major issues in migration to cloud computing makes the use of hybrid cloud for their usage.
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Cloud Computing is a very fascinating concept these days, it is attracting so many organizations to move their utilities and applications into a dedicated data centers, and so it can be accessed from the Internet. This allows the users to focus solely on their businesses while Cloud Computing providers handle the technology. Choosing a best provider is a challenge for organizations that are willing to step into the Cloud Computing world. A single cloud center generally could not deliver large scale of resources for the cloud tenants; therefore, multiple cloud centers need to collaborate to achieve some business goals and to provide the best possible services at lowest possible costs. However a number of aspects, legal issues, challenges, and policies should be taken into consideration when moving our service into the Cloud environment.
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Education of cloud engineers will be crucial for the continued development of cloud technologies. We have developed an open-source software platform called edubase Cloud for education. The platform has multi-cloud architecture. In this paper, we discuss how edubase Cloud provides an alterable cloud platform and how effective it is for educating cloud engineers.
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