期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (2)
With the development of 5G and the explosive growth of massive Internet of Health Things devices, existing computing resource allocation strategies ha......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (3)
Aiming at the problems of increased latency and energy consumption and decreased service quality caused by current vehicle networks, this paper propos......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (3)
For the current research on computing offloading, most of them only considers the multi-user task offloading decision problem or only considers the wi......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (3)
Time-varying resource allocation in which the resource requirements of a job can vary over time is a new challenge in cloud computing. Time-varying re......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (2)
Aiming at the problems of insufficient information and poor recognition rate in single-mode emotion recognition, a multi-mode emotion recognition meth......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (1)
Parallel training accelerates the Deep Neural Networks (DNN) training by parallel GPUs. While the in-memory data transmission becomes the cross-node n......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (1)
Task schedule optimization enables to attain high performance in both homogeneous and heterogeneous computing environments. The primary objective of t......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (1)
To handle user requests coming from all over the world, online services need to schedule resources to fulfill the corresponding stochastic demands for......
期刊： JOURNAL OF GRID COMPUTING, 2021; 19 (2)
In view of the serious problems of increasing delay energy consumption and decreasing service quality caused by complex network state and massive comp......
期刊： JOURNAL OF GRID COMPUTING, 2020; 18 (2)
Firstly, this paper introduces the types of clustering algorithm, and introduces the classical K-means algorithm and canopy algorithm in detail. Then,......
期刊： JOURNAL OF GRID COMPUTING, 2020; 18 (2)
Accurate detection and capture of anomaly data in complex network data stream is an important part of ensuring network security. Traditional methods c......
期刊： JOURNAL OF GRID COMPUTING, 2020; 18 (2)
Aiming at the high complexity of existing crowd abnormal detection models, the inability of traditional CNN to extract time-related features, and the ......
期刊： JOURNAL OF GRID COMPUTING, 2020; 18 (2)
Distributed network architecture of heterogeneous computing faces with such problems as strict performance constraints of network control, unpredictab......
期刊： JOURNAL OF GRID COMPUTING, 2020; 18 (1)
Cloud computing using virtualization technology has emerged as a new paradigm of large-scale distributed computing. One of its fundamental challenges ......
期刊： JOURNAL OF GRID COMPUTING, 2020; 18 (3)
This paper is motivated by the need of deadline-bounded applications in live mobile network environments to obtain the guarantee and the appropriate s......
