In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …

With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …

Recently, modern businesses have started to transform into cloud computing platforms to
deploy their workflow applications. However, scheduling workflow under resource allocation …

Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …

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

This study proposes a fog gateway selection strategy based on a hybrid Multi-criteria
Decision-Making (MCDM) optimization model to avoid overwhelming the fog–cloud network …

Multi-cloud is the use of multiple cloud computing in a single heterogeneous architecture.
Workflow scheduling in multi-cloud computing is an NP-Hard problem for which many …

A multi-objective optimization approach is suggested here for scientific workflow task-
scheduling problems in cloud computing. More frequently, scientific workflow involves a …

In cloud computing, how to reasonably allocate computing resources for batch jobs to
ensure the load balance of dynamic clusters and meet user requests is an important and …

Fog computing is a qualifiedly roseate technology introduced to support latency-sensitive
and mission-critical applications by bringing resources closer to the end users. To exploit the …