Appointment: Associate Professor

Research topics:
• Real-Time Systems
• Model-based Design Methodologies
• Energy Management

Datasets from the CPS@NTU research group in the School of Computer Science and Engineering

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Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Aug 21, 2024 - Resource Allocation for Edge-Cloud System
Gao, Chuanchao; Kumar, Niraj; Easwaran, Arvind, 2024, "Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing", https://doi.org/10.21979/N9/VJTMBM, DR-NTU (Data), V2, UNF:6:ujvYZ07RwxVvj5sepdEDNw== [fileUNF]
Experiment data for paper "Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing".
active_record.json
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
JSON - 121.1 MB - MD5: 34e8ec911e8567c70dc065bc1166aa75
active_record.json
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
JSON - 121.1 MB - MD5: 34e8ec911e8567c70dc065bc1166aa75
active_record.json
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
JSON - 121.1 MB - MD5: 34e8ec911e8567c70dc065bc1166aa75
active_record.pickle
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Unknown - 56.9 MB - MD5: b47e5177644d3ea2d9afa51fecca2347
alg_base_LBSLate.py
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Python Source Code - 15.7 KB - MD5: 3d3fd49861c87008af4363bc9784b2b3
alg_base_LCEarly.py
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Python Source Code - 13.8 KB - MD5: 9fef5a8da7d7df1b836a069b6cc446e7
alg_base_LCLate.py
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Python Source Code - 14.0 KB - MD5: 19bb9b0166e13fdcfd90ec877086de6c
alg_LBS.py
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Python Source Code - 15.0 KB - MD5: f927adce7ee1a77d6988aaf8aff026ca
alg_LBS_scale.py
Aug 21, 2024 - Replication Data for: Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Python Source Code - 15.6 KB - MD5: 4ecc70f3899cfbb29f8043f3d6b54982
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