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Workshop on Emerging Software as a Service and Analytics - ESaaSA 2014

3 - 5 April, 2014 - Barcelona, Spain

In conjunction with the 4th International Conference on Cloud Computing and Services Science - CLOSER 2014


Main Chair
Victor Chang
Leeds Metropolitan University and University of Southampton
United Kingdom
Brief Bio
Dr Victor Chang has been a technical lead in web applications, web services, database, grid, cloud, storage/backup, bioinformatics, financial modelling and research and has also successfully delivered many IT projects in Taiwan, Singapore, Australia, and the UK since 1998. He is experienced in a number of different IT subjects and has 27 certifications with 97% on average. He completed PGCert (Higher education) and PhD within four years part-time while working full-time, whereby the distance between his work and research is hundred of miles away. Victor is a sole 2001 Cambridge-Singapore winner with research contributions to e-Learning and web development, and he is a winner in 2011 European Identity Award in On Premise to Cloud Migration. He was selected to present his research in the House of Commons, UK, in 2011. He won the best student paper in CLOSER 2012. Victor demonstrated Storage as a Service, Health Informatics as a Service, Financial Software as a Service, Education as a Service, Big Data Processing as a Service and Integration as a Service in both of his practitioner and academic experience. He has 27 publications in the last four years as the first author.
Gary Wills
University of Southampton
United Kingdom
Brief Bio
Dr Gary Wills is an Associate Professor in Computer Science at the University of Southampton. He graduated from the University of Southampton with an Honours degree in Electromechanical Engineering, and then a PhD in Industrial Hypermedia systems. He is a Chartered Engineer, a member of the Institute of Engineering Technology and a Principal Fellow of the Higher Educational Academy. He is also an adjunct professor at the Cape Peninsular University of Technology and a research professor at RLabs. Gary's research projects focus on System Engineering and applications for industry, medicine and education, see research pages for more information.
Robert Walters
University of Southampton
United Kingdom
Brief Bio
Dr Robert John Walters is an Assistant Professor in Computer Science at the University of Southampton. His research interests include middleware, distributed computing, hypermedia and graphical formal modelling language. Related Experiences: Dr Robert John Walters is supervising a few PhD students specialising in Cloud Computing.


Our workshop will present a summary of Emerging Software as a Service (ESaaS) and analytics, which have been adopted and used extensively by a variety of organizations. ESaaS and analytics offer added values such as improvements in efficiency, technical performance and service ratings. Examples include Health Informatics as a Service (HIaaS) to compute simulations in tumor, proteins, DNAs and human organs. Security as a Service (SeaaS) provides recommendation and safeguards security for all aspects of Cloud. Financial Software as a Service (FSaaS) can compute pricing and risk, offering quality services for entrepreneurs and decision makers. Education as a Service (EaaS) can deliver modern education and a high quality learning experience. We are seeking papers to demonstrate proof-of-concept, design and implementations, case studies and use cases for adopting ESaaS and analytics, including experiments, technical evaluations and user experiences.

Topics of Interest
Topics of interest include, but are not limited to:

  • Health Informatics as a Service (HIaaS) for any type of health informatics, computation and services
  • Big Data as a Service (BDaaS) including frameworks, empirical approaches and data processing techniques
  • Big Data algorithm, methodology, business models and challenges
  • Security as a Service including any algorithms, methodology and software proof-of-concepts
  • Financial Software as a Service (FSaaS) including risk and pricing analysis; predictive modelling
  • Education as a Service (EaaS) including e-Learning and educational applications
  • Business Process as a Service (BPaaS) including workflows and supply chain in the Cloud
  • Software Engineering approaches, including formal methods, agile methods and theoretical algorithms for Cloud
  • Natural Science as a Service (NSaaS) including weather forecasting and weather data visualization
  • System Design and Architecture
  • Mobile System as a Service (MSaaS)
  • Gaming as a Service (GaaS)
  • Framework (conceptual, logical or software)
  • Analytics as a Service (AaaS) for any types of analytics
  • Electrical Platform as a Service (EPaaS)
  • Energy-saving and Green IT applications
  • Middleware and agents for Cloud, Grid and Cluster Computing
  • Integration as a Service (data; service; business; federated clouds)
  • Scheduling, service duplication, fairness, load balance for SaaS and Analytics
  • Tenant application development including customization, verification, simulation, and testing on SaaS and Analytics
  • SaaS QoS, security, reliability, availability, service bus mechanisms
  • Social Clouds and Analytics
  • User Evaluations and Case Studies
  • SaaS, Big Data and Analytics demonstrations and research discussions from computing scientists, business IS academics and industrial consultants
  • Any emerging services
  • e-Government, e-Commerce, e-Science and creative technologies for the Cloud


Paper Submission: February 4, 2014 (expired)
Authors Notification: February 13, 2014 (expired)
Camera Ready and Registration: February 21, 2014 (expired)
Vassil Alexandrov
Barcelona Supercomputing Center

Monte Carlo and Hybrid Methods and Algorithms for Extreme Scale Computing
Novel mathematics and mathematical modelling approaches together with scalable algorithms are needed to enable key applications at extreme-scale. This is especially true as HPC systems continue to scale up in compute node and processor core count. At the moment computational scientists are at the critical point/threshold of novel mathematics development as well as large-scale algorithm development and re-design and implementation that will affect most of the application areas. Therefore the talk will focus on the mathematical and algorithmic challenges and approaches towards exascale and beyond. It will present some stochastic and hybrid methods such as Monte Carlo methods for extreme-scale systems, that in turn lead to scalable scientific algorithms with minimal or no global communication, hiding network and memory latency, have very high computation/communication overlap, have no synchronization points. Examples will be drawn from diverse application areas such as Linear Algebra, Computational Finance, etc.

Biography of Vassil Alexandrov
Vassil Alexandrov is an ICREA Research Professor in Computational Science at Barcelona Supercomputing Centre. His research focuses on Extreme Computing, e.g. Computational Science methods encompassing Parallel and High Performance Computing, Scalable Algorithms for advanced Computer Architectures, Monte Carlo methods and algorithms. In particular, scalable Monte Carlo algorithms are developed for Linear Algebra, and problems in Computational Finance, Environmental Modelling, Computational Biology etc. All is in the context of scalable and fault-tolerant algorithms for petascale architectures and the exascale architecture challenge. He currently leads the Extreme Computing research group at BSC focusing on solving problems with uncertainty on large scale computing systems applying the techniques and methods mentioned above. He holds an MSc degree in Applied Mathematics from Moscow State University, Russia (1984) and a PhD degree in Parallel Computing from Bulgarian Academy of Sciences (1995). He has held previous positions at the University of Liverpool, UK (Departments of Statistics and Computational Mathematics and Computer Science, 1994-1999), the University of Reading, UK (School of Systems Engineering, 1999-2010, as a Professor of Computational Science leading the Computational Science research group until September 2010, and as the Director of the Centre for Advanced Computing and Emerging Technologies until July 2010). He is a member of the Editorial Board of the Journal of Computational Science, Guest Editor of Mathematics and Computers in Simulation, Guest Editor of special issue on Scalable Algorithms for Large Scale Problems of the Journal of Computational Science. He is one of the founding fathers of the International Academy of Information Technology and Quantitative Management. He has published over 100 papers in renowned refereed journals and international conferences and workshops in the area of his research expertise.


Omar Abdul-Rahman, Global Business Service,, IBM Japan, Japan
Pekka Abrahamsson, Free University of Bolzano - Bozen, Italy
Saad Alahmari, Department of Computer Science, Princess Noura Bint Abdulrahman University, Saudi Arabia
Mitra Arami, American University of Middle East, Kuwait
Reinhold Behringer, Knorr Bremse GmbH, Germany
Tony Bryant, Leeds Metropolitan University, United Kingdom
Rajkumar Buyya, University of Melbourne and Manjrasoft Private Limited, Australia
K. Chandrasekaran, Computer Science and Engineering, National Institute of Technology Karnataka, India
Hsi-ya Chang, , Taiwan, Republic of China
Darren Chong, Singapore Government, Singapore
Neil Chue Hong, Software Sustainability Institute, University of Edinburgh, United Kingdom
Lee Gillam, Department of Computing, University of Surrey, United Kingdom
Carole Goble, University of Manchester, United Kingdom
Yi-Ke Guo, Independent Researcher, United Kingdom
Takahiro Hirofuchi, National Institute of Advanced Industrial Science and Technology, Japan
Ching Hsien Robert Hsu, Chung Hua University, Taiwan, Republic of China
Guy-Bertrand Kamga, Independent Researcher, France
Chung-Sheng Li, Independent Researcher, United States
Mohamed Mohamed, Computer Sciences, Institut Mines-Telecom Telecom SudParis Evry, France
Siani Pearson, Cloud and Security Research Lab,, United Kingdom
Muthu Ramachandran, Integrated Cloud Solutions, AI Tech North and Public Intelligence, United Kingdom
Fash Safdari, Leeds Metropolitan University, United Kingdom
Z. C. Schreuders, Leeds Metropolitan University, United Kingdom
Jose Simao, Instituto Superior de Engenharia de Lisboa, Portugal
Ian Sommerville, St Andrews University, United Kingdom
Luís Veiga, Dei,, Portugal
David Walker, Department Of Computer Science, University of Cardiff, United Kingdom
Dai Watanabe, Independent Researcher, Japan
Tomasz W. Wlodarczyk, University of Stavanger, Norway
Renyu Yang, School of Computing, Beihang University, China
Fan Zhang, Independent Researcher, United States


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines and Templates.
Papers should be submitted electronically via the web-based submission system at:


All accepted papers will be published in the workshop proceedings book, under an ISBN reference and on CD-ROM support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (
SCITEPRESS is a member of CrossRef (

Extended versions of selected papers will be published in a special issue of RonPub's Open Journal of Cloud Computing (OJCC) and also a Cloud Computing book: Delivery and Adoption of Cloud Computing Services in Contemporary Organizations edited by the workshop chairs.

We sincerely invite all conference delegates to consider submitting an extended version of their papers to our journal, International Journal of Organizational and Collective Intelligence (IJOCI), on special issue on Emerging Clouds. You need about 40-50% of new content based on the extension of your conference paper and have at least 8,000 words. Details will be given during the workshop and conference period.
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CLOSER Workshops - ESaaSA 2014