Optimizing Task Scheduling in Fog Computing with Deadline Awareness
Fuente:
arXiv
Saved in:
| Main Authors: | Sirjani, Mohammad Sadegh, Ahmad, Mohammad, Mousavi, Amir, Nourbakhsh, Erfan, Nguyen, Khoa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CRAFT: Latency and Cost-Aware Genetic-Based Framework for Node Placement in Edge-Fog Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025)
by: Mahdizadeh, Soheil, et al.
Published: (2025)
MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025)
by: Mahdizadeh, Soheil, et al.
Published: (2025)
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026)
by: Zhang, Chen, et al.
Published: (2026)
Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
by: Ma, Ke, et al.
Published: (2025)
by: Ma, Ke, et al.
Published: (2025)
Optimizing Distributed ML Communication with Fused Computation-Collective Operations
by: Punniyamurthy, Kishore, et al.
Published: (2023)
by: Punniyamurthy, Kishore, et al.
Published: (2023)
Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024)
by: Agrawal, Anirudha, et al.
Published: (2024)
Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
by: Nadig, Rakesh, et al.
Published: (2026)
by: Nadig, Rakesh, et al.
Published: (2026)
PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips
by: Yuksel, Ismail Emir, et al.
Published: (2023)
by: Yuksel, Ismail Emir, et al.
Published: (2023)
Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
CELLO: Co-designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse
by: Garg, Raveesh, et al.
Published: (2023)
by: Garg, Raveesh, et al.
Published: (2023)
A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications
by: Zou, An, et al.
Published: (2025)
by: Zou, An, et al.
Published: (2025)
Accelerating Triangle Counting with Real Processing-in-Memory Systems
by: Asquini, Lorenzo, et al.
Published: (2025)
by: Asquini, Lorenzo, et al.
Published: (2025)
A Modern Primer on Processing in Memory
by: Mutlu, Onur, et al.
Published: (2020)
by: Mutlu, Onur, et al.
Published: (2020)
Memory-Centric Computing: Solving Computing's Memory Problem
by: Mutlu, Onur, et al.
Published: (2025)
by: Mutlu, Onur, et al.
Published: (2025)
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling
by: Mei, Linyan, et al.
Published: (2022)
by: Mei, Linyan, et al.
Published: (2022)
ALPHA-PIM: Analysis of Linear Algebraic Processing for High-Performance Graph Applications on a Real Processing-In-Memory System
by: Barkhordar, Marzieh, et al.
Published: (2026)
by: Barkhordar, Marzieh, et al.
Published: (2026)
Revisiting Computational Storage for Data Integrity and Security
by: Shi, Chao, et al.
Published: (2025)
by: Shi, Chao, et al.
Published: (2025)
Affinity Tailor: Dynamic Locality-Aware Scheduling at Scale
by: Ng, Jin Xin, et al.
Published: (2026)
by: Ng, Jin Xin, et al.
Published: (2026)
Memory-Centric Computing: Recent Advances in Processing-in-DRAM
by: Mutlu, Onur, et al.
Published: (2024)
by: Mutlu, Onur, et al.
Published: (2024)
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
by: Adnan, Muhammad, et al.
Published: (2024)
by: Adnan, Muhammad, et al.
Published: (2024)
Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)
by: Zhang, Qijun, et al.
Published: (2026)
Enabling Time-Aware Priority Traffic Management over Distributed FPGA Nodes
by: Scionti, Alberto, et al.
Published: (2025)
by: Scionti, Alberto, et al.
Published: (2025)
Topology-Aware Virtualization over Inter-Core Connected Neural Processing Units
by: Feng, Dahu, et al.
Published: (2025)
by: Feng, Dahu, et al.
Published: (2025)
Optimizing Offload Performance in Heterogeneous MPSoCs
by: Colagrande, Luca, et al.
Published: (2024)
by: Colagrande, Luca, et al.
Published: (2024)
Proteus: Enabling High-Performance Processing-Using-DRAM with Dynamic Bit-Precision, Adaptive Data Representation, and Flexible Arithmetic
by: Oliveira, Geraldo F., et al.
Published: (2025)
by: Oliveira, Geraldo F., et al.
Published: (2025)
Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis
by: Yuksel, Ismail Emir, et al.
Published: (2024)
by: Yuksel, Ismail Emir, et al.
Published: (2024)
How Fast Can Graph Computations Go on Fine-grained Parallel Architectures
by: Wang, Yuqing, et al.
Published: (2025)
by: Wang, Yuqing, et al.
Published: (2025)
UniFormer: Unified and Efficient Transformer for Reasoning Across General and Custom Computing
by: Ran, Zhuoheng, et al.
Published: (2025)
by: Ran, Zhuoheng, et al.
Published: (2025)
BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems
by: Pan, Lunshuai, et al.
Published: (2024)
by: Pan, Lunshuai, et al.
Published: (2024)
Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving
by: Tian, Yuyang, et al.
Published: (2025)
by: Tian, Yuyang, et al.
Published: (2025)
RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory
by: Ghiasi, Nika Mansouri, et al.
Published: (2022)
by: Ghiasi, Nika Mansouri, et al.
Published: (2022)
FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics
by: Wang, Zeke, et al.
Published: (2025)
by: Wang, Zeke, et al.
Published: (2025)
RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing
by: Pinge, Sumukh, et al.
Published: (2024)
by: Pinge, Sumukh, et al.
Published: (2024)
Simultaneous Many-Row Activation in Off-the-Shelf DRAM Chips: Experimental Characterization and Analysis
by: Yuksel, Ismail Emir, et al.
Published: (2024)
by: Yuksel, Ismail Emir, et al.
Published: (2024)
CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
by: Feng, Weigang, et al.
Published: (2025)
by: Feng, Weigang, et al.
Published: (2025)
Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026)
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026)
NetSmith: An Optimization Framework for Machine-Discovered Network Topologies
by: Green, Conor, et al.
Published: (2024)
by: Green, Conor, et al.
Published: (2024)
Sequence-Aware Split Heuristic to Mitigate SM Underutilization in FlashAttention-3 Low-Head-Count Decoding
by: Font, Martí Llopart, et al.
Published: (2026)
by: Font, Martí Llopart, et al.
Published: (2026)
Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design
by: Srimani, Tathagata, et al.
Published: (2024)
by: Srimani, Tathagata, et al.
Published: (2024)
Similar Items
-
CRAFT: Latency and Cost-Aware Genetic-Based Framework for Node Placement in Edge-Fog Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025) -
MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
by: Mahdizadeh, Soheil, et al.
Published: (2025) -
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026) -
Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
by: Ma, Ke, et al.
Published: (2025) -
Optimizing Distributed ML Communication with Fused Computation-Collective Operations
by: Punniyamurthy, Kishore, et al.
Published: (2023)