Due to the diversity in the applications that run in clusters, many different application
frameworks have been developed, such as MapReduce for data-intensive batch jobs and …

Effective, long-lasting Industrial IoT (IIoT) solutions start with short-term gains and
progressively mature with added capabilities and value. The heterogeneous nature of IIoT …

The deployment of modern applications, like massive Internet of Things (IoT), poses a
combination of challenges that service providers need to overcome: high availability of the …

The rise in popularity of long-lived applications (LLAs), such as deep learning and latency-
sensitive online Web services, has brought new challenges for cluster schedulers in shared …

With the great advance in the Internet-of-Things (IoT) sector, the recent years have
witnessed an unprecedented wave of the proliferation of heterogeneous IoT devices and …

Enabling data processing at the network edge, as close to the actual source of data as
possible, is a challenging, yet realistic goal to be achieved by the Internet of Things (IoT) …

The last decade has witnessed the rapid development of Internet of Things (IoT). The IoT
applications are becoming more and more computation-intensive and latency-sensitive …

The fast growth in the amount of connected devices with computing capabilities in the past
years has enabled the emergence of a new computing layer at the Edge. Despite being …

The ability for cloud data centres and edge data centres to collaborate unleashes the
potential of the edge-cloud system. However, its sophistication causes unexpected issues in …

The virtualization technology enhances resource utilization and scalability in the cloud
environment. Multiple virtual machines with divergent specifications in terms of hardware …