Keynote Speakers - CloudTech'17
Keynote 1 : Scheduling Different Types of Applications in the Cloud
Department of Informatics, Aristotle University of Thessaloniki, Greece
During the last few years the increasing popularity of cloud computing has offered computational services to many scientists, consumers and enterprises as utilities, on a pay-per-use approach. Users can access applications and data from the cloud on demand on a pay-as-you-go basis. Therefore, cloud computing is a cost-effective infrastructure for running computationally intensive applications.
There are important issues that must be addressed in cloud computing, such as: performance, resource allocation, efficient scheduling, energy conservation, reliability, protection of sensitive data, security and trust, cost, availability, quality. Effective management of cloud resources is crucial to use effectively the power of these systems and achieve high system performance.
The cloud computing paradigm can offer various types of services, such as computational resources for complex applications, web services, social networking, urban mobility, health care, environmental science, etc. Furthermore, the simultaneous usage of services from different clouds can have additional benefits such as lower cost and high availability.
Energy-efficient job scheduling is an effective technique to decrease the energy consumption in the cloud and therefore to reduce the cost and to minimize the impact of cloud computing on the environment.
Complex multiple-task applications may have precedence constraints and specific deadlines and may impose several restrictions and QoS requirements, therefore resource allocation and scheduling is a difficult task in clouds where there are many alternative heterogeneous computers. The scheduling algorithms must seek a way to maintain a good response time to leasing cost ratio.
In this talk we will present state-of-the-art research covering a variety of concepts on job scheduling in the cloud, based on existing or simulated cloud systems, that provide insight into problems solving and we will provide future directions in the cloud computing area.
About the Speaker:
Eleni Karatza , is a Professor in the Department of Informatics at the Aristotle University of Thessaloniki, Greece. Dr. Karatza’s research interests include Computer Systems Modeling and Simulation, Performance Evaluation, Grid and Cloud Computing, Energy Efficiency in Large Scale Distributed Systems, Resource Allocation and Scheduling and Real-time Distributed Systems.
Professor Karatza has authored or co-authored over 190 technical papers and book chapters including four papers that earned best paper awards at international conferences. She is senior member of IEEE, ACM and SCS, and she served as an elected member of the Board of Directors at Large of the Society for Modeling and Simulation International (2009-2011). She has served as General Chair, Program Chair and Keynote Speaker in International Conferences.
Professor Karatza is the Editor-in-Chief of the Elsevier Journal “Simulation Modeling Practice and Theory”, Area Editor of the “Journal of Systems and Software” of Elsevier, and she has been Guest Editor of Special Issues in multiple International Journals. http://agent.csd.auth.gr/~karatza/
Keynote 2 : Towards Extreme Scale Computing - A System Perspective in the Cloud and Big Data Era
Department of computer science and information engineering, Chung Hua University, Taiwan
This talk attempts to address a few critical issues, trends and opportunities on high performance computing in the cloud and big data era. Dr. Hsu will assess impacts of cloud and big data ecosystems on the development of high performance computing systems. The cloud & big data ecosystem includes the hardware and software infrastructure, new computing architectures, data center sustainability, and service models applied in supporting the emerging Big Data Intelligence and Internet of Things (IoT). In particular, a few enabling technologies, such as NoSQL, parallel data processing, energy efficient, load balancing, data locality and virtualization will be addressed.
About the Speaker:
Ching-Hsien Hsu , is a professor and the chairman in the department of computer science and information engineering at Chung Hua University, Taiwan; He was distinguished chair professor at Tianjin University of Technology, China, during 2012-2016. His research includes high performance computing, cloud computing, parallel and distributed systems, big data analytics. He has published 200 papers in top journals such as IEEE TPDS, IEEE TSC, ACM TOMM, IEEE TCC, IEEE TETC, IEEE System, IEEE Network, top conference proceedings, and book chapters in these areas. Dr. Hsu is the editor-in-chief of International Journal of Grid and High Performance Computing, and International Journal of Big Data Intelligence; and serving as editorial board for a number of prestigious journals, including IEEE Transactions on Service Computing, IEEE Transactions on Cloud Computing, International Journal of Communication Systems, International Journal of Computational Science. He has been acting as an author/co-author or an editor/co-editor of 10 books from Elsevier, Springer, IGI Global, World Scientific and McGraw-Hill. Dr. Hsu was awarded nine times distinguished award for excellence in research and annual outstanding research award through 2005 to 2016 from Chung Hua University; special talent award from Ministry of Education (2012-2015), and National Science Council (2010-2016), Taiwan. Since 2008, he has been serving as executive committee of IEEE Technical Committee of Scalable Computing; IEEE Special Technical Committee Cloud Computing; Taiwan Association of Cloud Computing. He is vice chair of IEEE Technical Committee on Cloud Computing, IEEE TCSC and IEEE senior member.