[hpc-announce] DAES 2017: The Third International Workshop on Data Analytics and Emerging Services (DAES), submit before July 22, 2017, thanks!

Chang V.I. vic1e09 at soton.ac.uk
Mon May 22 18:38:24 CDT 2017

Dear colleagues,

We have 1 international workshop on Data Analytics and Emerging Services. Details are on https://easychair.org/cfp/DAES-2017 and submission is on https://easychair.org/conferences/?conf=daes2017. Top authors will invited by top journals. There are special rates for Turkish, Kazakhstani, Uzbekistani, and Kyrgyzstani participants who currently work/study at the Turkish,  Kazakhstan, Uzbekistan, or Kyrgyzstan Institutions. Submission deadline: July 22, 2017. Thanks and see you.

Thanks and regards,



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
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
Important dates
Submission deadline: July 22, 2017:
Result notification: July 30, 2017
Registration deadline: August 10, 2017
Date of the workshop: August 21-23, 2017
Special issues and best paper award
Authors of top papers will be invited to special issues from Future Generation Computer Systems (FGCS), Multimedia Tools and Applications (MTAP) and also other leading journals. The best paper winner will receive an official certificate and will be invited
for the regular paper submission to IEEE Transactions on Industrial Informatics (TII) if the quality is excellent. Further information will be confirmed and updated.

Program committee

The list will grow, thanks

Organizing committee

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

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