SCOPE

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. 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 visualisation, 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.

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 the 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
IMPORTANT DATES
Paper Submission: February 27, 2015
Authors Notification: March 12, 2015
Camera Ready and Registration: March 26, 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 proofs-of-concept
- 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

WORKSHOP PROGRAM COMMITTEE

Omar Abdul-Rahman, National Institute of Informatics, Japan
Saad Alahmari, Princess Noura Bint Abdulrahman University, Saudi Arabia
Mitra Arami, Arab Open University,, Kuwait
Reinhold Behringer, Leeds Metropolitan University, United Kingdom
K Chandrasekaran, National Institute of Technology Karnataka, India, India
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
Tope Omitola, University of Southhampton, United Kingdom
Siani Pearson, HP Labs, Bristol, United Kingdom
Pethuru Raj, IBM Global Cloud Center of Excellence, India
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

(list not yet complete)

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