November 19, 2018: Invited Speaker Seminar: Self-Adapting Data Intensive Workflow Orchestration and Processing Over Cloud Environment

Dr. Hadeel T. El Kassabi
UAE University

Monday, November 19, 2018 at 11:00 am
Room EV003.309

Abstract

Cloud computing has emerged as a promising and powerful paradigm for delivering data-intensive, high performance computation, applications and services over the Internet. Thus, it has enabled the implementation and success of Big Data workflows through a myriad of scalable virtualized resources and services. These services can be orchestrated on the fly to respond to the scaling needs and the evolving complexity of Big Data workflows. Declarative service composition will facilitate self-learning, self-healing and self-configurable workflows. Providing runtime intelligence of a workflow in a highly dynamic cloud execution environment is a challenging task due to the continuously changing cloud resources. Guaranteeing a certain level of workflow Quality of Service (QoS) during the execution will require continuous monitoring to detect any performance violation due to resource shortage or even cloud service interruption. In this talk, I first describe our proposed workflow orchestration, monitoring, and adaptation model that relies on trust evaluation to detect QoS performance degradation and performs an automatic reconfiguration to guarantee QoS of the workflow. Afterwards, I explain our proposed monitoring and adaptation schemes that are able to detect and repair different types of real time errors and to trigger different adaptation actions including workflow reconfiguration, migration, and resource scaling. Finally, I state the remaining research challenges and new research directions on self-adapting, self-healing, and self-configurable workflows and their applications on data intensive scientific workflows.

Biography

Hadeel T. EL Kassabi received her Ph.D. from the Concordia Institute for Information Systems Engineering (CIISE), Concordia University, in 2018. She got her M.Sc. in Computer Science from Carleton University, Ottawa, in 2003 and her B.Sc. in Computer Science from The American University in Cairo in 1996. Her current research interests include Big Data, Cloud computing, Trust modeling, Scientific workflow orchestration and processing, and Big Data quality. Hadeel published her research outputs in prominent journals and indexed conferences. Prior to her academic occupation, Hadeel earned extensive experience in industry. She first worked as a Software Developer at Corel Corp., from 1998 to 2000, during which she worked in developing video conferencing applications. From 2000 to 2006, she worked as a Software Designer Engineer in UMTS, Wireless Department Nortel Networks in Ottawa, Canada. During her experience at Nortel Networks, she worked with various teams including Radio Network Controller (RNC) Integration team, Design Support team, and Interface Node Design team working in 3G wireless communication. Hadeel is currently affiliated with the College of Information Technology at UAE University.