Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments
A speculative exhibit for distributed computing organizations is implied as a haze of mists joining different parceled mists into a solitary fluid mass for on-request tasks. Fundamentally put, the mist between clouds would ensure that a cloud could use resources outside of its run using current unde...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/59/1/12 |
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| author | Koushik Chakraborty Manmohan Sharma Krishnaveni Kommuri Voore Subrahmanyam Pratap Patil Manmohan Singh Yadav |
| author_facet | Koushik Chakraborty Manmohan Sharma Krishnaveni Kommuri Voore Subrahmanyam Pratap Patil Manmohan Singh Yadav |
| author_sort | Koushik Chakraborty |
| collection | DOAJ |
| description | A speculative exhibit for distributed computing organizations is implied as a haze of mists joining different parceled mists into a solitary fluid mass for on-request tasks. Fundamentally put, the mist between clouds would ensure that a cloud could use resources outside of its run using current understandings with other cloud benefit providers. Edge processing is a growing registering perspective that brings several frameworks and devices to or near the client. The edge consists in handling data closer to where they are being created, dealing with additional important rates and volumes and resulting in a more conspicuous activity drove happening in real time. These centers perform continuous planning of the data that they receive within a millisecond response time. The center points discontinuously send logical summary information to the cloud. An example of an edge computer is a smartphone connected to a cloud system. Haze computing is more like a “gateway” to insights and control over handling. A haze computer connects to multiple edge computers simultaneously, resulting in a specialized set of devices for more efficient data handling and capacity. There are cutoff points to the actual resources and the geographic reach of any cloud. A cloud cannot help its customers if all its computational and storage capacities are used up. An inter-cloud system addresses situations in which one cloud gains access to other clouds’ frameworks for computing, capacity, or other assets. |
| format | Article |
| id | doaj-art-83645d1d3eaa41d2a79519d165f2ecac |
| institution | DOAJ |
| issn | 2673-4591 |
| language | English |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-83645d1d3eaa41d2a79519d165f2ecac2025-08-20T02:42:41ZengMDPI AGEngineering Proceedings2673-45912023-07-015911210.3390/engproc2023059012Resource Management Techniques for the Internet of Things, Edge, and Fog Computing EnvironmentsKoushik Chakraborty0Manmohan Sharma1Krishnaveni Kommuri2Voore Subrahmanyam3Pratap Patil4Manmohan Singh Yadav5Office of the Registrar, Adamas University, Kolkata 700126, IndiaDepartment of Computer Science and Engineering, Manipal University Jaipur, Rajasthan 303007, IndiaWipro Technologies India Pvt Ltd., Hyderabad 500075, IndiaDepartment of Computer Science and Engineering, Anurag University, Hyderabad 500088, IndiaDepartment of IT and Engineering, Amity University in Tashkent, Tashkent 100028, UzbekistanDepartment of Computer Science and Engineering(AI), IIMT Group of Colleges, Greater Noida 201310, IndiaA speculative exhibit for distributed computing organizations is implied as a haze of mists joining different parceled mists into a solitary fluid mass for on-request tasks. Fundamentally put, the mist between clouds would ensure that a cloud could use resources outside of its run using current understandings with other cloud benefit providers. Edge processing is a growing registering perspective that brings several frameworks and devices to or near the client. The edge consists in handling data closer to where they are being created, dealing with additional important rates and volumes and resulting in a more conspicuous activity drove happening in real time. These centers perform continuous planning of the data that they receive within a millisecond response time. The center points discontinuously send logical summary information to the cloud. An example of an edge computer is a smartphone connected to a cloud system. Haze computing is more like a “gateway” to insights and control over handling. A haze computer connects to multiple edge computers simultaneously, resulting in a specialized set of devices for more efficient data handling and capacity. There are cutoff points to the actual resources and the geographic reach of any cloud. A cloud cannot help its customers if all its computational and storage capacities are used up. An inter-cloud system addresses situations in which one cloud gains access to other clouds’ frameworks for computing, capacity, or other assets.https://www.mdpi.com/2673-4591/59/1/12resource managementedge computingfog computingInternet of Thingscloud simulation |
| spellingShingle | Koushik Chakraborty Manmohan Sharma Krishnaveni Kommuri Voore Subrahmanyam Pratap Patil Manmohan Singh Yadav Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments Engineering Proceedings resource management edge computing fog computing Internet of Things cloud simulation |
| title | Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments |
| title_full | Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments |
| title_fullStr | Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments |
| title_full_unstemmed | Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments |
| title_short | Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments |
| title_sort | resource management techniques for the internet of things edge and fog computing environments |
| topic | resource management edge computing fog computing Internet of Things cloud simulation |
| url | https://www.mdpi.com/2673-4591/59/1/12 |
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