[AISWorld] The first international workshop on Emerging Software as a Service and Analytics (ESaaSA), Barcelona, Spain, April 3-5, 2014

Chang V. V.Chang at soton.ac.uk
Sun Jan 26 19:18:07 EST 2014



The first international workshop on Emerging Software as a Service and Analytics (ESaaSA), Barcelona, Spain, April 3-5, 2014
http://closer.scitevents.org/ESaaSA.aspx

Our workshop will present a summary of Emerging Software as a Service and Analytics (ESaaSA), which have been adopted and used extensively by a variety of organizations. ESaaSA is on the top layer of Cloud Computing and Big Data, and 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 ESaaSA, including experiments, technical evaluations and user experiences.

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

IMPORTANT DATES
Paper Submission: February 1, 2014 (extended)
Authors Notification: February 10, 2014
Camera Ready and Registration: February 20, 2014

Program Committee
Omar Abdul-Rahman, National Institute of Informatics, Japan
Saad Alahmari, Princess Noura Bint Abdulrahman University, Saudi Arabia
Mitra Arami, American University of Middle East, Kuwait
Reinhold Behringer, Leeds Metropolitan University, United Kingdom
Tony Bryant, Leeds Metropolitan University, United Kingdom
Rajkumar Buyya, University of Melbourne and Manjrasoft Private Limited, Australia
K Chandrasekaran, National Institute of Technology Karnataka, India
Hsi-ya Chang, National Applied Research Laboratories, Taiwan
Darren Chong, Singapore, Singapore
Neil Chue Hong, Software Sustainability Institute, University of Edinburgh, United Kingdom
Takahiro Hirofuchi, National Institute of Advanced Industrial Science and Technology, Japan
Ching Hsien Robert Hsu, Chung Hua University, Taiwan
Carol Garble, Manchester University, United Kingdom
Lee Gillam, University of Surrey, United Kingdom
Yi-ke Guo, Imperial College, United Kingdom
Guy-Bertrand Kamga, Alcatel-Lucent, France
Chung-Sheng Li, IBM, New York, United States
Mohamed Mohamed, Institut Mines-Telecom Telecom SudParis Evry, France
Siani Pearson, HP Labs, Bristol, United Kingdom
Abrahamsson Pekk, Free University of Bolzano, Bozen, Italy
Muthu  Ramachandran, Leeds Metropolitan University, United Kingdom
Fash Safdari, Leeds Metropolitan University, United Kingdom
Z. Cliffe Schreuders, Leeds Metropolitan University, United Kingdom
Jose Simao, Instituto Superior de Engenharia de Lisboa, Portugal
Ian Sommerville, ST Andrew University, United Kingdom
Luís Veiga, Inesc-id / Ist, Portugal
Dai Watanabe, Hitachi, Japan
Tomasz Wiktor Wlodarczyk, University of Stavanger, Norway
Renyu Yang, Beihang University, China
Fan Zhang, MIT, United States

Workshop submission: http://www.insticc.org/Primoris/
Workshop format: http://closer.scitevents.org/GuidelinesTemplates.aspx (bottom of the page)
Facebook: https://www.facebook.com/esaasa2014

We also offer position papers (up to 6 pages) for anyone who has a good progress of SaaS and analytics research and who would like to share their results. We welcome any innovative approaches from computer scientists, IT researchers, business IS academics and industrial consultants that relate to Cloud, Grid ad Cluster Computing and Big Data Analytics.

We will provide each delegate a certificate of participation and offer a ‘best presenter award’.

A few best papers will be published in a special issue of RonPub's Open Journal of Cloud Computing (OJCC) .

Those who plan to get their extended version of workshop papers published in a Cloud Computing book, they should also submit their two-page proposal here: http://www.igi-global.com/publish/call-for-papers/call-details/1175

Many thanks for your considerations. We look forward to seeing you in Barcelona!





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