-
Article
Exploration of low-resource language-oriented machine translation system of genetic algorithm-optimized hyper-task network under cloud platform technology
To improve the quality and efficiency of machine translation (MT) for low-resource languages (LRLs), this paper analyzes the application of genetic algorithm (GA) under the background of cloud computing (CC). ...
-
Article
Open AccessEnhancement of damaged-image prediction based on digital twin technology
Digital twins have revolutionized the field of image enhancement by applying their unique capabilities. A digital twin refers to a virtual replica of a physical object or system, which can be utilized to simul...
-
Article
A novel approach for CPU load prediction of cloud server combining denoising and error correction
Computer servers in cloud data centers are known to consume a huge amount of energy in their operations. For energy saving, load balancing has been used but it is only effective when CPU loads are predicted ac...
-
Article
A Task-Aware Fine-Grained Storage Selection Mechanism for In-Memory Big Data Computing Frameworks
In-memory big data computing, widely used in hot areas such as deep learning and artificial intelligence, can meet the demands of ultra-low latency service and real-time data analysis. However, existing in-mem...
-
Article
A Dependency-Aware Storage Schema Selection Mechanism for In-Memory Big Data Computing Frameworks
Artificial intelligence applications that greatly depend on deep learning and compute vision processing becomes popular. Their strong demands for low-latency or real-time services make Spark, an in-memory big ...
-
Article
Concurrent workflow budget- and deadline-constrained scheduling in heterogeneous distributed environments
In heterogeneous distributed environment, it is a great challenge to schedule multiple workflows submitted at different times. Particularly, scheduling of concurrent workflows with deadline and budget constrai...
