In the rapidly expanding field of parallel processing, job schedulers are the “operating
systems” of modern big data architectures and supercomputing systems. Job schedulers …

During the past few years, the traffic volume of legitimate traffic and attack traffic has
increased manifolds up to Terabytes per second (Tbps). Because of the processing of such …

Anomaly detection is an active research topic in many different fields such as intrusion
detection, network monitoring, system health monitoring, IoT healthcare, etc. However, many …

During the past decade, many anomaly detection approaches have been introduced in
different fields such as network monitoring, fraud detection, and intrusion detection …

Providing a lightweight self-adaptive approach that does not need offline training in advance
and meanwhile is able to detect anomalies in real time could be highly beneficial. Such an …

MapReduce framework is an effective method for big data parallel processing. Enhancing
the performance of MapReduce clusters, along with reducing their job execution time, is a …

Anomaly detection is the process of identifying unexpected events or abnormalities in data,
and it has been applied in many different areas such as system monitoring, fraud detection …

The proliferation of information technology produces a huge amount of data called big data
that cannot be processed by traditional database systems. These Various types of data …

Over the past decade, several approaches have been introduced for short-term traffic
prediction. However, providing fine-grained traffic prediction for large-scale transportation …

Apache Spark is a fast and general engine for large-scale data processing using distributed
memory. It provides different deploy modes to meet the needs of different users and Spark …