Today, the number of data-intensive and compute-intensive applications like business and
scientific workflows has dramatically increased, which made cloud computing more popular …

Interest in processing big data has increased rapidly to gain insights that can transform
businesses, government policies, and research outcomes. This has led to advancement in …

Cloud computing is a suitable platform to execute the deadline-constrained scientific
workflows which are typical big data applications and often require many hours to finish …

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 …

Due to the high complexity of modern-day business, organizations are forced to quickly
adapt to a wide range of cutting-edge developments. These developments influence the …

Cloud computing is a promising platform for executing scientific workflow applications.
Commonly, the scientific workflow applications are complex in size and computation …

Researchers collaborating from different locations need a method to capture and store
scientific workflow provenance that guarantees provenance integrity and reproducibility. As …

Modern scientific workflow systems lack strong support for protecting the scientific data and
their provenance from being forged or altered. As a result, scientists may be misled into …

A growing number of business process management systems is under development both in
academia and in practice. These systems typically are based on modern system …

Security is one of the most emerging issues in the real-life scientific workflow's applications
such as online marketing, big data, digital transaction etc. Cloud computing infrastructure is …