2017云，边缘计算和移动性大数据软件工程专题会议 IEEE Services 2017 Emerging Track: Big Data Software Engineering for Cloud, Edge Computing and Mobility

活动简介

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 We seek original, UNPUBLISHED research papers reporting substantive new work in various economic aspects of delivering services.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.

征稿信息

重要日期

2017-04-05

摘要截稿日期

2017-04-05

初稿截稿日期

2017-04-20

初稿录用日期

征稿范围

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 Peertopeer Search
Machine learning based on Big Data
Visualization Analytics for Big Data
Big Data for Enterprise, Government and Society
Big Data Economics
Reallife Case Studies of Value Creation through Big Data Analytics
Big Data for Business Model Innovation
Big Data Toolkits
Big Data in Business Performance Management
SMEcentric Big Data Analytics
Big Data for Vertical Industries (including Government, Healthcare, and Environment)
Scientific Applications of Big Data
Largescale 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