More and more real-time IoT applications such as smart cities or autonomous vehicles
require big data analytics with reduced latencies. However, data streams produced from …

Emerging Internet of Things (IoT) applications often demonstrate unpredictable Big Data
processing workloads at the cloud backends making it hard for cloud service providers …

Software Defined Networking (SDN) paradigm is introducing novel approaches for many
unresolved issues of networking. These new outlooks are imperative in emerging scenarios …

Mobile Edge Clouds (MECs) create new opportunities and challenges in terms of
scheduling and running applications that have a wide range of latency requirements, such …

In the Internet of Things (IoT) era, the demands for low-latency computing for time-sensitive
applications (eg, location-based augmented reality games, real-time smart grid …

Caused by the proliferation of the (IoT) and its related application domains such as Building
Automation or E-Health, users face a continuously increasing amount of heterogeneous …

Recently, we have witnessed numerous benefits of exploiting Cloud Computing models and
technologies in the context of the Internet of Things and Edge Computing. However, utility …

Emerging augmented reality IoT edge devices, such as smart glasses, show significant
promise in use as assistive devices that involve human (s) in the loop. Owing to the often …

InterCloud Computing is a new cloud paradigm designed to guarantee service quality or
performance and availability of on-demand resources. InterCloud enables cloud …

Ensuring cost-effective end-to-end QoS in a multilayer, multi-service, IoT data processing
pipeline is a non-trivial challenge. The uncertainties surrounding the 3Vs of streaming data …