IEEE Services 2017 Emerging Track: Big Data Software Engineering for Cloud, Edge Computing and Mobility


Sessions between June 25-June 30, 2017, Honolulu, Hawaii, IEEE SERVICES 2017

with ICWS 2017, MS 2017, SCC 2017, CLOUD 2017 and BigData 2017)


Call for Papers

IEEE Services Emerging track on Big Data Software Engineering for Cloud, Edge Computing and Mobility organizing committee invites you to participate in its second edition. The track is co-located with the following service-oriented sister conferences: the 8th IEEE 2015 International Conference on Cloud Computing (CLOUD 2015), the 12th IEEE 2015 International Conference on Services Computing (SCC 2015), the 22nd IEEE International Conference on Web Services (ICWS 2015), and the 4th IEEE International Conference on Mobile Services (MS 2015). These co-located theme topic conferences will be centred on "services," while each focusing on exploring different aspects (web-based services, cloud-based services, business services, edge computing, and Big Data services).

The technical program will include a research track, an industry and application track, and a work-in-progress track. The tracks will highlight foundational work that strives to push beyond the limits of existing services economics platforms and products, including experimental efforts, innovative systems and investigations that identify weaknesses in the existing services economics models. We seek original, UNPUBLISHED research papers reporting substantive new work in various economic aspects of delivering services. Research track papers MUST clearly indicate their contributions to the field and properly cite related work in the field, such as those published in the proceedings of ICWS, SCC, CLOUD, SERVICES, APSCC, ECOWS, MS, and related journals.

Major topics include but not limited to the following:
Big Data Models and Algorithms
- Foundational Models for Big Data
- Algorithms and Programming Techniques for Big Data Processing
- Big Data Analytics and Metrics
- Representation Formats for Multimedia Big Data
- Big Data Architectures
- Cloud Computing Techniques for Big Data
- Big Data as a Service
- Big Data Open Platforms
- Big Data in Mobile and Pervasive Computing
- Big Data Management
- Big Data Persistence and Preservation
- Big Data Quality and Provenance Control
- Management Issues of Social Network Big Data
- Big Data Protection, Integrity and Privacy
- Models and Languages for Big Data Protection
- Privacy Preserving Big Data Analytics
- Big Data Encryption
- Security Applications of Big Data
- Anomaly Detection in Very Large Scale Systems
- Collaborative Threat Detection using Big Data Analytics
- Big Data Search and Mining
- Algorithms and Systems for Big Data Search
- Distributed, and Peer-to-peer Search
- Machine learning based on Big Data
- Visualization Analytics for Big Data
- Big Data for Enterprise, Government and Society
- Big Data Economics
- Real-life Case Studies of Value Creation through Big Data Analytics
- Big Data for Business Model Innovation
- Big Data Toolkits
- Big Data in Business Performance Management
- SME-centric Big Data Analytics
- Big Data for Vertical Industries (including Government, Healthcare, and Environment)
- Scientific Applications of Big Data
- Large-scale Social Media and Recommendation Systems
- Experiences with Big Data Project Deployments
- Big Data in Enterprise Management Models and Practices
- Big Data in Government Management Models and Practices
- Big Data in Smart Planet Solutions
- Big Data for Enterprise Transformation

The Session will allow researchers to discuss and debate the current state and future directions for engineering cloud and mobile service-oriented systems in the presence of big Volume, Velocity and/or Variety data. We are specifically interested in academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving Cloud, edge computing and mobile services in the presence of Big Data. The sessions hopes to define architectures and approaches for dealing efficiently with BigData and to learn more about applications and use cases in relation to cloud, edge computing and mobile services. Topics include but are not limited to: Big Data Architectures, Big Data Modeling, Big Data as a Service, Cloud Data Management, Big Data and mobile service, Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, and Big Data Applications in various industries.

The Session will be a 1 days- event, with research paper presentations and talks from academia and industry featuring full, visionary and work-in-progress papers. All submitted manuscripts will be peer-reviewed by three reviewers. Accepted and presented papers from will appear in the proceedings of the IEE Services on Services 2016. At least one author of each accepted paper is required to register to the conference.

Chairs and Contact,

Rami Bahsoon, University of Birmingham, UK

Stephan Reiff-Marganiec, University of Leicester, UK

Liping Zhao, University of Manchester, UK

Important Dates:

Abstract Submission Deadline: April 5, 2017
Full Paper Submission Due Date: April 5, 2017
Decision Notification (Electronic): April 20, 2017
Accepted Paper Camera-Ready Copy to the IEEE FTP Site Due Date: April 30, 2017

Submission Instructions Page (IEEE Services 2015):

Please follow the instructions on the submission page: