ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment
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| Xuất bản năm: | Journal of Telecommunications and Information Technology no. 2 (2025), p. 56-69 |
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| Tác giả chính: | |
| Tác giả khác: | , , , |
| Được phát hành: |
Instytut Lacznosci - Panstwowy Instytut Badawczy (National Institute of Telecommunications)
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| Những chủ đề: | |
| Truy cập trực tuyến: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 3228539650 | ||
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| 022 | |a 1509-4553 | ||
| 022 | |a 1899-8852 | ||
| 024 | 7 | |a 10.26636/jtit.2025.2.2088 |2 doi | |
| 035 | |a 3228539650 | ||
| 045 | 2 | |b d20250401 |b d20250630 | |
| 084 | |a 249928 |2 nlm | ||
| 100 | 1 | |a Singh, Shivan |u KLE Technological University, Hubballi, Karnataka, India | |
| 245 | 1 | |a ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment | |
| 260 | |b Instytut Lacznosci - Panstwowy Instytut Badawczy (National Institute of Telecommunications) |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Edge computing is a decentralized computing paradigm that brings computation and data storage closer to data sources, enabling faster processing and reduced latency. This approach is critical for real-time applications, but it introduces significant challenges in managing resources efficiently in edge-cloud environments. Issues such as increased response times, inefficient autoscaling, and suboptimal task scheduling arise due to the dynamic and resource-constrained nature of edge nodes. Kubernetes, a widely used container orchestration platform, provides basic autoscaling and scheduling mechanisms, but its default configurations often fail to meet the stringent performance requirements of edge environments, especially in lightweight implementations like KubeEdge. This work presents an ILP-optimized, LSTM-based approach for autoscaling and scheduling in edge-cloud environments. The LSTM model forecasts resource demands using both real-time and historical data, enabling proactive resource allocation, while the integer linear programming (ILP) framework optimally assigns workloads and scales containers to meet predicted demands. By jointly addressing auto-scaling and scheduling challenges, the proposed method improves response time and resource utilization. The experimental setup is built on a KubeEdge testbed deployed across 11 nodes (1 cloud node and 10 edge nodes). Experimental results show that the ILP-enhanced framework achieves a 12.34°7c reduction in response time and a 7.85°7c increase in throughput compared to the LSTM-only approach. | |
| 653 | |a Smart cities | ||
| 653 | |a Scheduling | ||
| 653 | |a Linear programming | ||
| 653 | |a Containers | ||
| 653 | |a Metadata | ||
| 653 | |a Task scheduling | ||
| 653 | |a Response time | ||
| 653 | |a Edge computing | ||
| 653 | |a Integer programming | ||
| 653 | |a Communication | ||
| 653 | |a Optimization | ||
| 653 | |a Real time | ||
| 653 | |a Decision making | ||
| 653 | |a Resource allocation | ||
| 653 | |a Nodes | ||
| 653 | |a Data storage | ||
| 653 | |a Algorithms | ||
| 653 | |a Automation | ||
| 653 | |a Resource utilization | ||
| 653 | |a Workloads | ||
| 700 | 1 | |a G, Narayan D |u KLE Technological University, Hubballi, Karnataka, India | |
| 700 | 1 | |a Mujawar, Sadaf |u KLE Technological University, Hubballi, Karnataka, India | |
| 700 | 1 | |a Hanchinamani, G S |u KLE Technological University, Hubballi, Karnataka, India | |
| 700 | 1 | |a Hiremath, P S |u KLE Technological University, Hubballi, Karnataka, India | |
| 773 | 0 | |t Journal of Telecommunications and Information Technology |g no. 2 (2025), p. 56-69 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3228539650/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3228539650/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3228539650/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |