Workflow scheduling concerns the map** of complex tasks to cloud resources by taking
into account various Quality of Service requirements. In virtue of continuous proliferation in …

Abstract Bag-of-Tasks (BoT) workflows are widespread in many big data analysis fields.
However, there are very few cloud resource provisioning and scheduling algorithms tailored …

Online scheduling plays a key role for big data streaming applications in a big data stream
computing environment, as the arrival rate of high-velocity continuous data stream might …

With the rapid development of information technology, edge computing has grown rapidly by
pushing large amounts of computing to the edge of the network. However, due to the rapid …

Cloud Computing provides an attractive execution environment for scientific workflow
execution. However, due to the increasingly high charge cost of using cloud service, cost …

To deal with the problem of unbalanced load and ignoring task priority in previous task
scheduling algorithms, this paper proposes a task scheduling algorithm named P-Min-Min …

Cloud computing has evolved into an indispensable tool for facilitating scientific research
due to its ability to efficiently distribute and process workloads in a virtual environment …

Abstract The emergence of Big Data has had a profound impact on how data are analyzed.
Open source distributed stream processing platforms have gained popularity for analyzing …

Cloud computing is one of the most prominent parallel and distributed computing paradigm.
It is used for providing solution to a huge number of scientific and business applications …

The use of Hybrid Cloud technologies in large scale applications allows organizations to
complement on-premises infrastructure with hired infrastructure from Public Cloud providers …