Introduction
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.
Call for paper
Important date
Submission Topics
Topics of interest include, but are not limited to:
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Data as a Service
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Databases: Systems, applications and recent development
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Data Analytics
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NoSQL databases
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Visualization
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Algorithms, Methods and scientific processes
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Modern Architectures
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Big Data software and proof-of-concepts
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Spark, Hapdoop, Apache Pig and any new Big Data tools
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Financial services, financial modeling and business processes
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Banking, econometrics and economic research
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Risk management and analysis
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Health informatics and IoT
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IoT services and technologies
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IoT applications
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Smart cities
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Security, privacy and Trust
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Cloud Computing services
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Education as a Service
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Gaming as a Service (GaaS)
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Framework (conceptual, logical or software)
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Integration and fusion
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Weather analysis and computation
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Real time Cloud, IoT and big data services
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Fog and edge computing
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e-Government, e-Commerce, e-Science and creative technologies for Cloud and IoT
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Management information systems
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Social network analysis
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Scheduling, service duplication, fairness, load balance for SaaS and Analytics
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IoT, Big Data and Analytics discussion from scientists, business/IS academics and industrial consultants
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Modern data center and system architecture to improve performance, security and integration
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Real-life examples and case studies
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Any emerging DAES services
All Comments
Important Date
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Conference Date
Aug 21
2017
toAug 23
2017
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Jul 22 2017
Draft paper submission deadline
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Jul 30 2017
Draft Paper Acceptance Notification
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Aug 23 2017
Registration deadline
Contact Information
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