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MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud
  Environments

MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments

21 May 2022
Shreshth Tuli
G. Casale
N. Jennings
ArXiv (abs)PDFHTML

Papers citing "MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments"

19 / 19 papers shown
Title
Learning to Dynamically Select Cost Optimal Schedulers in Cloud
  Computing Environments
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments
Shreshth Tuli
G. Casale
N. Jennings
53
1
0
21 May 2022
CAROL: Confidence-Aware Resilience Model for Edge Federations
CAROL: Confidence-Aware Resilience Model for Edge Federations
Shreshth Tuli
G. Casale
N. Jennings
76
8
0
14 Mar 2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Shreshth Tuli
G. Casale
N. Jennings
AI4TS
82
501
0
18 Jan 2022
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing
  Environments
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments
Shreshth Tuli
G. Casale
N. Jennings
73
20
0
16 Dec 2021
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing
  Systems
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems
Shreshth Tuli
G. Casale
N. Jennings
73
35
0
14 Dec 2021
PreGAN: Preemptive Migration Prediction Network for Proactive
  Fault-Tolerant Edge Computing
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing
Shreshth Tuli
G. Casale
N. Jennings
64
38
0
04 Dec 2021
HUNTER: AI based Holistic Resource Management for Sustainable Cloud
  Computing
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing
Shreshth Tuli
S. Gill
Minxian Xu
Peter Garraghan
Rami Bahsoon
...
R. Sakellariou
Omer F. Rana
Rajkumar Buyya
G. Casale
N. Jennings
66
69
0
11 Oct 2021
COSCO: Container Orchestration using Co-Simulation and Gradient Based
  Optimization for Fog Computing Environments
COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
Shreshth Tuli
Shivananda R. Poojara
S. Srirama
G. Casale
N. Jennings
84
76
0
29 Apr 2021
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments
  using A3C learning and Residual Recurrent Neural Networks
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks
Shreshth Tuli
Shashikant Ilager
K. Ramamohanarao
Rajkumar Buyya
58
176
0
01 Sep 2020
Transformative effects of IoT, Blockchain and Artificial Intelligence on
  cloud computing: Evolution, vision, trends and open challenges
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
S. Gill
Shreshth Tuli
Minxian Xu
Inderpreet Singh
Karandeep Singh
...
S. Misra
M. Aslanpour
Harshita Mehta
V. Stankovski
Peter Garraghan
76
371
0
21 Oct 2019
EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog
  and Cloud Computing Environments
EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments
Shreshth Tuli
Nipam Basumatary
Rajkumar Buyya
60
61
0
26 Jun 2019
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog
  Computing
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
Shreshth Tuli
Md. Redowan Mahmud
Shikhar Tuli
Rajkumar Buyya
54
322
0
29 Nov 2018
Melding the Data-Decisions Pipeline: Decision-Focused Learning for
  Combinatorial Optimization
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
Bryan Wilder
B. Dilkina
Milind Tambe
OffRLAI4CE
75
302
0
14 Sep 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
241
1,542
0
25 Jan 2017
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
313
6,700
0
08 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
432
43,814
0
01 May 2014
Algorithms for multi-armed bandit problems
Algorithms for multi-armed bandit problems
Volodymyr Kuleshov
Doina Precup
143
351
0
25 Feb 2014
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