saifulislamPhD / IoT-Compute-DatasetLinks
This Dataset consists of heterogeneous IoT jobs/tuples containing the information - TupleName, TupleId, Size of the Tuple (Size of a job), MIPS (Million Instruction per Second), Total processors, RAM size, Bandwidth, Geo-location (Coordinates), DataType (contains Abrupt, smalltextual, medical and sensors etc), Data Percentage, IsReversed (not se…
☆15Updated 5 years ago
Alternatives and similar repositories for IoT-Compute-Dataset
Users that are interested in IoT-Compute-Dataset are comparing it to the libraries listed below
Sorting:
- ☆11Updated 4 years ago
- zamaniali1995 / A-Novel-Approach-for-Service-Function-Chain-SFC-Mapping-with-Multiple-SFC-instances-paperThis code simulate effect of using edge computing for NFV.☆11Updated 5 years ago
- Robustness Evaluation of RL-based Algorithms for Resource Allocation in 5G Network Slicing☆14Updated last year
- simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper☆18Updated 5 years ago
- Task Scheduler based on Reinforcement Learning (RL) that allocates re-routing computation into the appropriate network element (edge nod…☆19Updated 3 years ago
- This is the JAVA code of algorithm ROSA, and the corresponding paper is published by IEEE Trans. on Services Computing. The title of the …☆20Updated 7 years ago
- Research project on Resource-elastic tasks for edge cloud computing☆12Updated 4 years ago
- This repository contains a Reinforcement learning algorithm for task scheduling in edge-cloud computing.☆12Updated last year
- This project simulates deployment and migration of Service Function Chains (SFC) in data-centers.☆34Updated 3 months ago
- Distributed Online Service Coordination Using Deep Reinforcement Learning☆19Updated 2 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Updated 4 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 3 years ago
- SFC TSS - Service Function Chain (SFC) traffic scheduling simulator☆23Updated last year
- Mobile Edge Computing Hierarchical Model which has the mobile as the edge server and the cloud as the central server. The load balancing …☆15Updated 7 years ago
- ☆40Updated 4 years ago
- The Incremental Deployment Method of Segment Routing over an IPv6 (SRv6) Network Based on Graph Neural Network (GNN) and Multi-Agent Rein…☆13Updated 7 months ago
- NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains☆63Updated 2 years ago
- AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach☆12Updated 4 years ago
- 论文仿真实验代码开源☆19Updated 5 years ago
- Latency optimized and energy efficient task offloading in MEC system using Deep Q-Network algorithm.☆16Updated last year
- awesome-edge-computing，边缘计算各种资料汇总，相关技术资料汇总☆22Updated 3 years ago
- Deep Reinforcement Learning for Dynamic Multicahnnel Access in Wireless Networks☆13Updated 7 years ago
- Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).☆60Updated 2 years ago
- Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.☆28Updated last year
- Task scheduling algorithms using algorithms like ACO PSO and MBO☆17Updated 6 years ago
- Genetic algorithms for the placement of services in Fog domains☆13Updated 3 years ago
- Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architect…☆19Updated 3 years ago
- ☆46Updated 4 years ago
- Machine Learning for Dynamic Resource Allocation in Network Function Virtualization☆59Updated last year
- ☆11Updated 3 years ago