Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …

With the explosive growth of big data, workloads tend to get more complex and
computationally demanding. Such applications are processed on distributed interconnected …

The edge, the fog, the cloud, and even the end-user's devices play a key role in the
management of the health sensitive content/data lifecycle. However, the creation and …

Edge computing is more and more popular due to its low latency and bandwidth-efficient
services. Edge computing is mainly applied to the latency-critical and computation-intensive …

Cloud is a common distributed environment to share strong and available resources to
increase the efficiency of complex and heavy calculations. In return for the cost paid by cloud …

The Internet of Things has enabled many application scenarios where a large number of
connected devices generate unbounded streams of data, often processed by data stream …

Cloud computing is a popular and widely adopted computing platform for the execution of
scientific workflows as it provides flexible infrastructure and offers access to collection of …

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

Due to the excessive concentration of computing resources in the traditional centralized
cloud service system, there will be three prominent problems of management confusion …

Previous studies have shown that the workload variability has a serious impact on the
performance of large-scale distributed architectures, since it may cause significant …