In cloud computing environment, the workflow allocation mainly focuses on task assignment
to satisfy the quality-of-service (QoS) standards and workload balancing by the best use of …

The rapid development of Deep Neural Networks (DNNs) lays solid foundations for Internet
of Things systems. However, mobile devices with limited processing capacity and short …

Geo-distributed clouds have emerged as a new generation of cloud computing paradigm, in
which each cloud is operated and managed by independent cloud service providers (CSPs) …

Multi-cloud is a promising paradigm due to its advantages such as avoiding vendor lock-in
and optimising costs. This paper focuses on dynamic flexible workflow scheduling with …

In cloud computing, a pay-per-use framework enables dynamic scalability in response to the
demands of workflow applications. Workflow allocation is an essential issue due to the trade …

Emerging computing paradigms like mist, edge, and fog computing address challenges in
the real-time processing of vast Internet of Things (IoT) applications. Alongside, cloud …

Multi-workflows are commonly deployed on cloud platforms to achieve efficient
computational power. Diverse task configuration requirements, the heterogeneous nature …

The aim of increased reliability and performance in system architectures has resulted in the
development of data replication systems. However, preserving consistency during …

Cloud computing being a new arena of research, has attracted attention from the research
and industrial community. The most challenging issues of cloud service are very specific …

Cloud computing has brought about a significant transformation in the field of Information
Technology (IT) by providing the capability to access a shared pool of resources over the …