DAES 2017

Our workshop presents a summary of Data Analytics and Emerging Services (DAES), which offer innovative approaches of delivering services and making contributions to research and enterprise communities. Following the successful delivery of our previous workshops and conferences related to Cloud, Big Data, Internet of Things and Security, we maintain our passion to continue running this workshop. Previously it was known as Emerging Software as a Services and Analytics (ESaaSA). To reflect recent updates in the emerging trends, topics and collaborative conference, it is now known as DAES. We oversee the importance of DAES 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 DAES.

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

• Explain how to implement analytics, and their added values. 
• Demonstrate how DAES can be used in different case studies. 
  Describe how to resolve challenges in each of Cloud, Big Data, Internet of Things and Security scenario.
• Provide reproducible steps for anyone to follow, and support reproducibility and innovation, two important aspects in Cloud, Big Data, Internet of Things and Security. 
• Explain how their Cloud, Big Data, Internet of Things and Security 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

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Please follow IEEE format, with double columns. Final version should follow the IEEE format. Please
submit to Easychair https://easychair.org/conferences/?conf=daes2017

List of Topics

Topics of interest include, but are not limited to: 

• Data as a Service
• Databases: Systems, applications and recent development
• Data Analytics
• NoSQL databases
• Visualization
• Algorithms, Methods and scientific processes
• Modern Architectures
• Big Data software and proof-of-concepts
• Spark, Hapdoop, Apache Pig and any new Big Data tools
• Financial services, financial modeling and business processes
• Banking, econometrics and economic research
• Risk management and analysis
• Health informatics and IoT
• IoT services and technologies
• IoT applications
• Smart cities
• Security, privacy and Trust
• Cloud Computing services
• Education as a Service
• Gaming as a Service (GaaS)
• Framework (conceptual, logical or software)
• Integration and fusion
• Weather analysis and computation
• Real time Cloud, IoT and big data services
• Fog and edge computing
• e-Government, e-Commerce, e-Science and creative technologies for Cloud and IoT
• Management information systems
• Social network analysis
• Scheduling, service duplication, fairness, load balance for SaaS and Analytics
• IoT, Big Data and Analytics discussion from scientists, business/IS academics and industrial consultants
• Modern data center and system architecture to improve performance, security and integration
• Real-life examples and case studies
• Any emerging DAES services

Committees

Program Committee (more will be added, thanks)

• Victor Chang, Xi’an Jiaotong-Liverpool University, China (Lead)
• Gang Sun, University of Electronic Science and Technology of China, China
• Pandi Vijayakumar, University College of Engineering Tindivanam, India
• Gary Wills, University of Southampton, United Kingdom
• Dan Liao, University of Electronic Science and Technology of China, China
• Muthu Ramachandran, Leeds Beckett University, United Kingdom
• Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain
• Jian Sun, University of Electronic Science and Technology of China, China
• Farshad Firouzi, IMEC/Katholieke Univ. Leuven, Germany
• Óscar Mortágua Pereira, University of Aveiro, Portugal
• Roger A. Hallman, Space & Naval Warfare Systems Center Pacific, USA
• Anna Kobusińska, Poznań University of Technology, Poland
• Dongcheng Zhao, University of Electronic Science and Technology of China, China
• Hui Li, University of Electronic Science and Technology of China, China

Organizing committee

• Dr. Victor Chang, Xi’an Jiaotong-Liverpool University, China (Lead)
• Dr. Gang Sun, University of Electronic Science and Technology of China, China
• Dr. Pandi Vijayakumar, University College of Engineering Tindivanam, India
• Roger Hallman (publicity)

Contact

All questions about submissions should be emailed to victorchang.research@gmail.com