Big data systems are sufficiently stable to store and process a massive volume of rapidly
changing data. However, big data systems are composed of large-scale hardware resources …

Cloud computing becomes rapid growing technology using virtualization and Service
Oriented Architecture (SOA), developed as one of the sought-after computing models. It is a …

Reinforcement Learning (RL) has demonstrated a great potential for automatically solving
decision-making problems in complex, uncertain environments. RL proposes a …

Through placing computation, storage, and communications facilities near the data source,
Edge Computing (EC) is anticipated to extend the intelligence from the central cloud to the …

Cloud computing is widely used in various fields, which can provide sufficient computing
resources to address users' demands (workflows) quickly and effectively. However, resource …

We live in an age where everything around us is being created. Data generation rates are so
scary, creating pressure to implement costly and straightforward data storage and recovery …

Cloud computing is a widely adopted platform for executing tasks of different application
types that belong to the end users. In the cloud, application task is prone to failure for several …

Software testing activities scrutinize the artifacts and the behavior of a software product to
find possible defects and ensure that the product meets its expected requirements. Although …

As the complexity of workflow applications increase, the scheduling and execution of
workflow incur more waste of resources. In order to achieve load balancing and reduce the …

Autoscaling strategies aim to exploit the elasticity, resource heterogeneity and varied prices
options of a Cloud infrastructure to improve efficiency in the execution of resource-hungry …