Spark is widely used due to its high performance caching mechanism and high scalability,
which still causes uneven workloads and produces useless intermediate caching results …

The development of the Human Genome Project provides the important technical guarantee
for people's health. The gene sequencing service plays an important role in the disease …

In the age of big data, software-as-a-service (SaaS) clouds provide heterogeneous and
multitenant utilization of underlying virtual environments in data centers. Real-time and …

In the era of big data and cloud computing, large amounts of data are generated from user
applications and need to be processed in the datacenter. Data-parallel computing …

In the era of Big Data, processing large amounts of data through data-intensive applications,
is presenting a challenge. An in-memory distributed computing system; Apache Spark is …

Edge computing allows an edge server to adaptively place virtual instances to serve
different types of data. This article presents a new algorithm which jointly optimizes virtual …

In lunar exploration missions, path planning for lunar rovers using digital elevation models
(DEMs) is currently a hot topic in academic research. However, research on path planning …

Apache Spark is a parallel data processing framework that executes fast for iterative
calculations and interactive processing, by caching intermediate data in memory with a …

Improper data replacement and inappropriate selection of job scheduling policy are
important reasons for the degradation of Spark system operation speed, which directly …

Memory is a constrained resource for in-memory big data computing systems. Efficient
memory management plays a pivotal role in performance improvement for these systems …