Aiming at the functional requirements of the Express Supervision System, This paper
discusses the advantages of using AngularJS to build the front-end framework, the …

The Internet of Things, privacy, and technical constraints increase the demand for edge-
based data-driven services, which is one of the major goals of Industry 4.0 and Society 5.0 …

Performance tuning can improve the system performance and thus enable the reduction of
cloud computing resources needed to support an application. Due to the ever increasing …

Big data processing frameworks such as Spark usually provide a large number of
performance-related configuration parameters, how to auto-tune these parameters for a …

The use of cloud services to process a large amount of data is growing and demands for
scalable, reliable, and highly available services in cloud environments are raising. The …

Data skew, which is the result of uneven distribution of data among tasks in big data
processing frameworks such as MapReduce, causes significant variation in the execution …

Stream data processing systems are becoming increasingly popular in the big data era.
Systems such as Apache Flink typically provide a number (eg, 30) of configuration …

Stream data processing systems are becoming increasingly popular in the big data era.
Systems such as Apache Flink typically provide a number (eg, 30) of configuration …

Many companies regularly run Big Data analysis, and need to optimize their resource usage
considering cost, deadline, and environmental impact simultaneously. The cloud allows …

With the explosive growth of social networking services and traffic information, graph
structured data has promoted the development of analytical tools. GraphX is an API of …