Anthony C. Boucouvalas, University of Peloponnese, Greece
Title: Available soon
Eleni Karatza, Aristotle University of Thessaloniki, Greece
Title: Cloud Computing – State-of-the-Art and Future Research Trends
Anthony C. Boucouvalas
University of Peloponnese
A.C. Boucouvalas, is a Professor in Communication Networks and Applications at the University of Peloponnese , in Tripoli, Greece. He is the director of the Communication Networks and Applications Laboratoryand he is Visiting Professor at Northumbria University UK. He has been Head of the Telecommunications Department from 2009-2013. He was a Professor in Multimedia Communications and Director of the Microelectronics and Multimedia Communications Research Centre of Bournemouth University until 2006. He has been actively involved with research in various aspects of fibre optic communications, wireless communications and multimedia, and has an accumulated 30 years working experience in well known academic and industrial research centres. He has 11 years industrial research experience having worked for Hewlett Packard Laboratories and GEC Hirst Research Centre in the UK. Professor Boucouvalas' research spans a wide range of topics in Communications and Multimedia, both from the theoretical as well as the practical points of view. His recent work has been directed toward communication protocol problems arising from various areas of wireless communication, expressive internet communications, effective human computer interfaces and inverse fibre optic problems. His work is supported by research grants and contracts from European Union and industrial organisations. Professor Boucouvalas has published over 311 papers in learned journals.
Cloud Computing – State-of-the-Art and Future Research Trends
Aristotle University of Thessaloniki
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 180 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 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 for Computer Systems and Networks 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/
Clouds have been very popular, and their performance becomes more important due to the increase of users and applications. Currently, many enterprises are adopting Clouds to achieve high performance for their applications at low costs.
Because of the nature of these systems, there are important issues that must be addressed, such as: resource allocation, efficient scheduling, energy conservation, reliability, 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. Furthermore, software structures that best exploit clouds capabilities while providing applications compatibility should be examined.
Cloud computing is a concept that has emerged from grid computing; it provides users the ability to acquire computational resources on demand from its virtually infinite pool on a pay-as-you-go basis.
The cloud computing paradigm can offer various types of services, such as computational resources for HPC applications, web services, social networking, etc. Resource allocation and scheduling is a difficult task in clouds where there are many alternative heterogeneous computers. If cloud computing is going to be used for HPC, appropriate methods must be considered for allocating resources to user requests efficiently, VM scalability, as well as effectively scheduling the tasks. The scheduling algorithms must seek a way to maintain a good response time to leasing cost ratio. Furthermore, adequate data security and availability are critical issues that have to be considered along with energy-efficient solutions that are required to minimize the impact of cloud computing on the environment.