Workflow scheduling is one of the prominent issues in cloud computing which is aimed at
complete execution of workflows by considering their QoS requirements such as deadline …

Large‐scale scientific problems are often modeled as workflows. The ever‐growing data
and compute requirements of these applications has led to extensive research on how to …

Contemporarily, two emerging techniques, blockchain and edge computing, are driving a
dramatical rapid growth in the field of Internet-of-Things (IoT). Benefits of applying edge …

Cloud computing is a new platform to manage and provide services on the internet. Lately,
researchers have paid attention a lot to this new subject. One of the reasons to have high …

The rise of multi-cloud systems has been spurred. For safety-critical missions, it is important
to guarantee their security and reliability. To address trust constraints in a heterogeneous …

Cloud computing is emerging with growing popularity in workflow scheduling, especially for
scientific workflow. Deploying data-intensive workflows in the cloud brings new factors to be …

The growth and development of scientific applications have demanded the creation of
efficient resource management systems. Resource provisioning and scheduling are two …

Security is increasingly critical for various scientific workflows that are big data applications
and typically take quite amount of time being executed on large-scale distributed …

D ynamic W orkflow S cheduling in F og C omputing (DWSFC) is an important optimisation
problem with many real-world applications. The current workflow scheduling problems only …

Providing resources and services from multiple clouds is becoming an increasingly
promising paradigm. Workflow applications are becoming increasingly computation …