36 citations · 68 across the 11 of their papers we have counts for
12 papers
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms
Isuru Dharmadasa, Faheem Ullah
Distributed Data Processing Platforms (e.g., Hadoop, Spark, and Flink) are widely used to store and process data in a cloud environment. These platforms distribute the storage and…
Defending SDN against packet injection attacks using deep learning
Anh Tuan Phu, Bo Li, Faheem Ullah +4
The (logically) centralised architecture of the software-defined networks makes them an easy target for packet injection attacks. In these attacks, the attacker injects malicious p…
Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases
Yaser Mansouri, Faheem Ullah, Shagun Dhingra +1
In this paper, we present a Fragmented Hybrid Cloud (FHC) that provides a unified view of multiple geographically distributed private cloud datacenters. FHC leverages a fragmented…
A Framework for Energy-aware Evaluation of Distributed Data Processing Platforms in Edge-Cloud Environment
Faheem Ullah, Imaduddin Mohammed, M. Ali Babar
Distributed data processing platforms (e.g., Hadoop, Spark, and Flink) are widely used to distribute the storage and processing of data among computing nodes of a cloud. The centra…
Evaluation of Distributed Data Processing Frameworks in Hybrid Clouds
Faheem Ullah, Shagun Dhingra, Xiaoyu Xia +1
Distributed data processing frameworks (e.g., Hadoop, Spark, and Flink) are widely used to distribute data among computing nodes of a cloud. Recently, there have been increasing ef…
On the Scalability of Big Data Cyber Security Analytics Systems
Faheem Ullah, Muhammad Ali Babar
Big Data Cyber Security Analytics (BDCA) systems use big data technologies (e.g., Apache Spark) to collect, store, and analyze a large volume of security event data for detecting c…