[hpc-announce] Emerging Software as a Service and Analytics 2015 (ESaaSA 2015), deadline extended till March 12, 2015

Chang V.I. vic1e09 at soton.ac.uk
Tue Mar 3 13:50:13 CST 2015

Dear All,

Sorry. This is my last time to send around about this workshop ESaaSA 2015. Due to numerous requests, ESaaSA 2015 has extended till March 12 Thursday (firm). The website will be updated later. I hope you'll submit. We'll select the best papers for high-quality journal submission. Many thanks.

Thanks and regards,

Dr. Victor Chang


Introduction (Apologies if you've received it from elsewhere)

Our workshop presents a summary of Emerging Software as a Service and Analytics (ESaaSA), which offer innovative approaches of delivering services and making contributions to research and enterprise communities. We'll host ESaaSA 2015 with CLOSER conference between May 20 and 22, 2015 in Lisbon, Portugal. Following the successful delivery of ESaaSA 2014, we oversee the importance of ESaaSA as a unique and rising field and all services in SaaS should always be designed, deployed and integrated. Emerging means innovative techniques and methods used for the traditional areas (finance, healthcare, education, security etc) or new areas (mobile apps, social networks, weather visualization, Big Data processing etc). We will seek papers to demonstrate proofs-of-concept, demonstrations, design and implementations, successful case studies and use cases of adopting ESaaSA. Due to several requests, our deadline has been extended till March 12, 2015 and our reviewers will work hard to meet a tight deadline.

The focus of this workshop is to demonstrate new techniques, demonstrations and innovative approaches in ESaaSA and analytics services. The impacts of research contributions are as follows.

- Explain how to implement analytics, and their added values.
- Demonstrate how ESaaSA can be used in different case studies.
- Describe how to resolve challenges in each Cloud Computing adoption scenario.
- Provide reproducible steps for anyone to follow, and support reproducibility, an important aspect in Cloud Computing science.
- Explain how their Cloud services can work effectively in production and real-time
- Present how their services can make contributions to users involved in the use of Cloud services and adoption.
- Sum up and disseminate all the lessons learned and recommendation to play an influential role in academia and industry

Website and submission: http://closer.scitevents.org/ESaaSA.aspx

Paper Submission: March 12, 2015 (firm)
Authors Notification: March 26, 2015
Camera Ready and Registration: April 6, 2015

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
  *   e-Government, e-Commerce, e-Science and creative technologies for the Cloud
  *   Any emerging services

Main Chair:
Dr. Victor Chang, Leeds Beckett University, UK

Dr. Muthu Ramachandran, Leeds Beckett University, UK
Dr. Gary Wills, University of Southampton, UK
Dr. Robert Walters, University of Southampton, UK
Dr. Verena Kantere, University of Geneva, Switzerland
Dr. Chung-Sheng Li, IBM, US

Keynote speaker 1: Luís Veiga, Inesc-id / Ist, Portugal


Omar Abdul-Rahman, National Institute of Informatics, Japan
Saad Alahmari, Princess Noura Bint Abdulrahman University, Saudi Arabia
Mitra Arami, Arab Open University,, Kuwait
Khin Mi Mi Aung, Agency for Science, Technology and Research (A*STAR), Data Storage Institute, Singapore
Reinhold Behringer, Leeds Metropolitan University, United Kingdom
K Chandrasekaran, National Institute of Technology Karnataka, India, India
Tzu-chun Chen, TU Darmstadt, Germany
Dickson Chiu, The University of Hong Kong, Hong Kong
Darren Chong, Singapore, Singapore
Wendy Currie, Audencia, Nantes, France
Michael Engel, Leeds Beckett University, United Kingdom
Takahiro Hirofuchi, National Institute of Advanced Industrial Science and Technology, Japan
Ching Hsien Robert Hsu, Chung Hua University, Taiwan
Natalia Kushik, Tomsk State University, Russian Federation
Bu Sung Francis Lee, Nanyang Technological University, Singapore
Tope Omitola, University of Southhampton, United Kingdom
Siani Pearson, HP Labs, Bristol, United Kingdom
Pethuru Raj, IBM Global Cloud Center of Excellence, India
Shuqin Ren, Data Storage Institute, Singapore
Jose Simao, Instituto Superior de Engenharia de Lisboa, Portugal
Luis M. Vaquero, HP Labs, United Kingdom
Luís Veiga, Inesc-id / Ist, Portugal
Yun Wan, University of Houston, United States
Junbo Wang, University of Aizu, Japan
Tomasz Wiktor Wlodarczyk, University of Stavanger, Norway
Neil. Y Yen, University of Aizu, Japan
Fan Zhang, MIT, United States

Detail information: http://closer.scitevents.org/ESaaSA.aspx
Facebook: https://www.facebook.com/ES2014ECs2015
LinkedIn: https://www.linkedin.com/groups/Emerging-Software-as-Service-Analytics-8205624
Twitter: https://twitter.com/ES_ESaaSA_works

1 best paper in the computational ESaaSA category will be invited for Future Generation Computer Systems (our special issue: Big Data processing in the Cloud) and 1 best paper in frameworks/best practices/analytics  will be invited by International Journal of Information Systems (our special section). Extension and improvement of your workshop papers can be published in International Journal of Organizational and Collective Intelligence (IJOCI) or Open Journal of Big Data (OJBD). Hope you can join us online and in Lisbon!

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