BESIEC: An Adaptive Optimized Model for Task Scheduling & Offloading
में बचाया:
| में प्रकाशित: | SN Computer Science vol. 5, no. 8 (Dec 2024), p. 1099 |
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| मुख्य लेखक: | |
| अन्य लेखक: | |
| प्रकाशित: |
Springer Nature B.V.
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| विषय: | |
| ऑनलाइन पहुंच: | Citation/Abstract Full Text Full Text - PDF |
| टैग: |
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| 001 | 3133929229 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2662-995X | ||
| 022 | |a 2661-8907 | ||
| 024 | 7 | |a 10.1007/s42979-024-03461-5 |2 doi | |
| 035 | |a 3133929229 | ||
| 045 | 2 | |b d20241201 |b d20241231 | |
| 100 | 1 | |a Mohanty, Jayashree |u International Institute of Information Technology (IIIT), Department of Computer Science and Engineering, Bhubaneswar, India | |
| 245 | 1 | |a BESIEC: An Adaptive Optimized Model for Task Scheduling & Offloading | |
| 260 | |b Springer Nature B.V. |c Dec 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The rapid change in computational strategy and delay-sensitive applications require intense power sources of computational resources. This creates a challenge of precise latency requirements in 5G network services. Task scheduling and offloading can be promising solutions to achieve high-performance optimized output with heterogeneity, handling of tasks, conservation of energy, and reliable latency factor. Blockchain (BC), Software defined networks (SDN) and the Internet of Things(IoT) are the most promising significant technologies researched in this article, and the fusion of the three has the potential to reinvent the relationship of trust in the networks and promote the integration of confidentiality and reliability in the respective use cases. Cloud infrastructure is used to provide clients with powerful computing and storage environments. A kind of expansion of cloud computing architecture, edge computing, has been trending. Now, it is used to build distributed secure architecture to promote the safety and integrity of data throughout its lifetime and bring much-needed efficiency to IoT data processing. This paper considers a Blockchain-Enabled Software-defined network-based IoT Edge Cloud(BESIEC) scenario for data integrity during task scheduling and offloading processes while achieving optimal computational resources and minimizing end-to-end delays. The strategy shows that it is better to implement the BESIEC model than the Traditional Floodlight implementation. The BESIEC model shows better time consumption performance regarding the number of tasks completed compared to local processing, cloud offloading, and edge offloading. | |
| 653 | |a Computer program integrity | ||
| 653 | |a Scheduling | ||
| 653 | |a Power sources | ||
| 653 | |a Data integrity | ||
| 653 | |a Task scheduling | ||
| 653 | |a Data processing | ||
| 653 | |a Internet of Things | ||
| 653 | |a Computer architecture | ||
| 653 | |a Edge computing | ||
| 653 | |a Security management | ||
| 653 | |a Network reliability | ||
| 653 | |a Cloud computing | ||
| 653 | |a Blockchain | ||
| 653 | |a Traffic control | ||
| 653 | |a Network latency | ||
| 653 | |a Resource scheduling | ||
| 653 | |a Computation offloading | ||
| 653 | |a Algorithms | ||
| 653 | |a Energy consumption | ||
| 653 | |a Heterogeneity | ||
| 653 | |a Resource management | ||
| 653 | |a Efficiency | ||
| 653 | |a Floodlighting | ||
| 700 | 1 | |a Sobhanayak, Srichandan |u International Institute of Information Technology (IIIT), Department of Computer Science and Engineering, Bhubaneswar, India | |
| 773 | 0 | |t SN Computer Science |g vol. 5, no. 8 (Dec 2024), p. 1099 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3133929229/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3133929229/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3133929229/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |