In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …

Cloud computing platforms support the Internet of Vehicles, but the main bottlenecks are
high latency and massive data transmission in cloud-based processing. Vehicular fog …

Edge computing nodes undertake an increasing number of tasks with the rise of business
density. Therefore, how to efficiently allocate large-scale and dynamic workloads to edge …

Machine learning and parallel processing are extremely commonly used to enhance
computing power to induce knowledge from an outsized volume of data. To deal with the …

With the uncertainty of a cloud environment and the diversity of workload requirements
increasing the scheduling cost of container-based cloud, especially for load spikes of …

Nowadays, cloud organizations face challenges in managing huge count of data with
various resources due to the prompt expansion of cloud computing (CC) environments with …

Despite increased cloud service providers following advanced cloud infrastructure
management, substantial execution time is lost due to minimal server usage. Given the …

This informative text/reference presents a detailed review of the state of the art in fog
computing paradigm. In particular, the book examines a broad range of important …

Task scheduling and load balancing problem of heterogeneous computing environment
(HCE) is getting more and more attention these days and has become a research hotspot in …

To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …