Mohsen Amini

University of North Texas, USA

Realizing Fluid Computing in Cloud 2.0

Abstract

Containerized services in the next generation of cloud computing systems (Cloud 2.0) desire fluidity to support user mobility, elasticity, and load balancing across autonomous computing systems. To enable ubiquitous and efficient service fluidity, a live migration solution needs to handle circumstances where users have various authority levels (full control, limited control, or no control) over the underlying computing systems. Supporting the live migration at these levels serves as the cornerstone of interoperability and can unlock several use cases in Cloud 2.0. We develop a ubiquitous migration solution (UMS) that, for a given containerized service, can automatically identify the feasible migration approach, and then seamlessly perform the migration across autonomous computing systems. UMS does not interfere with the way the orchestrator handles containers and can coordinate the migration without the orchestrator’s involvement. Moreover, UMS is orchestrator-agnostic, i.e., it can be plugged into any underlying orchestrator platform. UMS is equipped with novel methods that can coordinate and perform the live migration at the orchestrator, container, and service levels. To demonstrate the potential of UMS in realizing fluidity across multi-clouds, we demonstrate live service migration between Microsoft Azure and Google Cloud.

Biography

Dr. Mohsen Amini Salehi is an Associate Professor at the Computer Science and Engineering, University of North Texas (UNT). He is also the director of High Performance and Cloud Computing (HPCC) Laboratory. Dr. Amini is an NSF CAREER Awardee and, so far, he has had 7 research projects funded by National Science Foundation (NSF) and Board of Regents of Louisiana (totaling $2.7 M). He has received six awards and certificates in recognition of his innovative research and service to the community. His paper was nominated for the “Best Paper Award” in 33rd International Parallel and Distributed Processing Symposium (IPDPS ’19), Rio de Janeiro, Brazil. Dr. Amini has received his Ph.D. in Computing and Information Systems from Melbourne University, Australia, in 2012. He has been a postdoctoral fellow at Colorado State University (2012—2013), and at University of Miami (2013—2014). Dr. Amini has been an active researcher in Distributed and Cloud computing since 2004. He has more than 70 publications in top-tier venues and has filed 5 U.S. patents. His research interests are in building smart systems across edge-to-cloud continuum, virtualization, resource allocation, heterogeneity, and trustworthiness in Distributed systems.

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