Fog computing is a contemporary distributed computing concept extending from Cloud computing, which pushes the data analytics to the edge of a sensor network as far as possible. It helps avoid performance bottleneck and data analytics latency at the ...

In the ever-expanding world of IoT, data has not only increased in volume and velocity but has also moved from residing in centralized nodes to distributed nodes across multiple locations. Traditional data clustering technologies, based on centralized ...

IoT (Smart Home /Building /City) networks generally comprise of heterogeneous networks and devices, these devices would either be constrained or non-constrained. To amend service throughput, most of the services running on these devices are expected to ...

We present a novel system for the detection of anomalies in streaming timeseries data, particularly that found in server and application monitoring, as well as "Internet of Things" (IoT) sensor monitoring and applications. By using the Discrete Wavelet ...

In this article, general precautions against security threats for computer network in small/medium enterprises are discussed and summarized. Discussion will also be extended beyond traditional threats onto modern new threats, and beyond traditional SMEs ...

In wireless sensor networks, the certainty of the data created by a node can change due to many reasons such as drained energy, outer factors. In addition dynamic physical environment and hardware failures (broken sensor etc.) might cause sensors to ...

Scientific distributed computing environments are increasingly deployed over geographically spanning data centers using heterogeneous hardware systems. With increasing demand for storage andcollaborative tool development, scientific domains recognize ...