A5046739725- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Digital Transformation in Industry
- Scientific Computing and Data Management
- Sparse and Compressive Sensing Techniques
- Blind Source Separation Techniques
- Manufacturing Process and Optimization
- Cryptography and Data Security
- Access Control and Trust
- Advanced Data Storage Technologies
- Cloud Data Security Solutions
- Security and Verification in Computing
- Microwave Imaging and Scattering Analysis
- Additive Manufacturing and 3D Printing Technologies
Nanyang Technological University
2018-2023
Nanjing University of Science and Technology
2011-2015
Brunel University of London
2015
Cloud computing provides promising platforms for executing large applications with enormous computational resources to offer on demand. In a model, users are charged based their usage of and the required quality service (QoS) specifications. Although there many existing workflow scheduling algorithms in traditional distributed or heterogeneous environments, they have difficulties being directly applied environments since differs from by its service-based resource managing method pay-per-use...
Digital twin has been applied in various industrial fields to represent physical systems. However, the design of high-fidelity digital scenes is challenging that it often requires intensive manual processes and domain expertise edit 3D models or description documents. To reduce human efforts, this paper proposes ChatTwin, a conversational system leverages power GPT-4 automate generation scene documents for twins. ChatTwin assists by i) segmenting user-input prompts, ii) generating with...
As energy-intensive entities, data centers are associated with significant environmental impacts, making their sustainability a subject of growing interest in recent years. In this article, we revisit center and propose forward-looking vision for improving sustainability. We argue that encompasses more than just energy efficiency must be evaluated optimized through multi-faceted approach. To end, first present an overview the metrics from five aspects. After that, demonstrate status latest...
In generally, large companies or organizations have the demand of big data processing and they do not want to entrust their business processes third parties (Amazon, Google, etc.). The private cloud could meet needs. cloud, tasks run at multiple instances (also known as virtual machines), which be paced in different physical nodes. Obviously, used process need higher CPU disk performance than other kinds instances. If resource consuming are placed same node, clearly, I/O bandwidth would up...
Compressed sensing (CS) is a new signal acquisition method that can do sampling and compression of signals simultaneously. In order to reduce the reconstruction time CS algorithms lower growth rate when increasing size signals, this paper proposes algorithm block whole orthogonal matching pursuit (BWOMP), which fast based on (OMP) for two-dimension (2D) signals. BWOMP defines measurement parameter named whole-correlation. At each iteration, instead computing correlation between atom 1D...