Nowadays, cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in
smart medical systems, where the limitations of Internet of Things (IoT)-associated medical …

Performance optimization based on node attributes is of profound significance in the replica
placement algorithm used in Hadoop distributed file system (HDFS). Currently, most …

Virtual machine placement (VMP) optimization is a crucial task in the field of cloud
computing. VMP optimization has a substantial impact on the energy efficiency of data …

Scheduling plays an important role in improving the performance of big data-parallel
processing. Spark is an in-memory parallel computing framework that uses a multi-threaded …

In the parallel computing framework of Hadoop/Spark, data skew is a common problem
resulting in performance degradation, such as prolonging of the entire execution time and …

Data locality is an important concept in big data processing. Most of the existing research
optimized data locality from the aspect of task scheduling. However, as the execution …

Data skew has an essential impact on the performance of big data processing. Spark task
scheduling with data skew and deadline constraints is considered to minimize the total …

One of the key challenges in big data technology is the velocity at which the data is
processed. Hadoop, an open-source software framework, is the dominant technology to …

In the cloud-to-thing continuum paradigm, the efficient transmission of learning-driven data
is critical for facilitating real-time decision-making and continuous learning processes …

Memes influence the behaviours, perceptions and actions of the people they spread to, both
consciously and unconsciously. The production of memes and memetic behaviours are …