[hpc-announce] CFP: CCBD'2015, November 4th-6th, 2015, Taipei

[Kuan-Ching Li]

*Accept our apologies if you receive this message more than once*

oooooooooooooooooooooooooooooooooooo

Call for Papers

International Conference on Cloud Computing and Big Data (CCBD)
November 4th-6th, 2015, Taipei

On behalf of CCBD organizing committee, we cordially invite you to
participate in the 6th International Conference on Cloud Computing and
Big Data to be held on Nov. 4th – Nov. 6th, 2015, Taipei

Themes: Big Data, Analytics, Cloud Computing, Mobile/IoT, Social
Networking and their convergence

In recent years, Big Data Analytics, Cloud Computing, Mobile/IoT, and
their convergence have emerged as major drivers for enterprise
transformation and innovation in both business and IT worlds.
Enterprises’ competitiveness is increasingly determined by their
abilities to leverage these technologies. IDC describes the platform
that supports the convergence of these technologies as the third
platform. It is accessed from mobile devices, utilizes big data, and
is cloud based. IoT (Internet of Things), Mobile and Social network
are major sources of Big Data. Cloud Computing provides a scalable
services consumption model and cost-effective delivery platform. Big
data analytics offers the promise of providing valuable insight for
science, engineering, medicine, finance, business, government etc.
Successful application of these technologies helps enterprises
understand customers’ needs and sentiment, make right decisions in
time, improve process efficiency, allow them to mass-customize their
services, and improve products/services to excel in the fast changing
competitive landscape.

CCBD2015 (International Conference on Cloud Computing and Big Data) is
the sixth in its series and is co-sponsored by the Cloud Computing
Association in Taiwan and the Chinese Institute of Electronics, and
technical-sponsored by IEEE Technical Committee on Scalable Computing
(TCSC).

Topics of interest of the CCBD2015 conference include, but are not
limited to the following:

Architecture & Foundation of Cloud Computing and Big Data
 Infrastructure as a Service and Green Cloud Computing
 Monitoring, Management and Maintenance of Cloud Platform
 Performance Improvement and Hardware Optimizations for Cloud
Computing and Big Data
 Integrated Platform for Cloud Computing, Big Data, IOT and Social Networks
 Best Practices for Migration to Cloud

Software Engineering, Tools & Services for Cloud Computing and Big Data
 Platform as a Service, DevOps, and API Management
 Novel Programming Model for Cloud and Big Data
 Quality Measurement, Evaluation and Management
 Information lifecycle management for Cloud Computing and Big Data
 Innovative Cloud Applications, Novel Theoretical and Computational
Models for Big Data

Software as a Service, Big Data Analytics, Modeling and Applications
 Business Models for Software as a Service
 Open Data, Data as a Service and Decision as a Service
 Big Data Analytic Algorithms, Knowledge Discovery & Data Engineering
 Visualization Analytics for Big Data
 Large Scale Distributed Knowledge Management

Security, Privacy, Trust & Quality of Cloud Computing and Big Data
 Hardware/Software Reliability, Verification and Testing in Cloud
Computing and Big Data
 Trusted Computing & Autonomic Computing in Cloud Computing and Big Data
 Fault Tolerance in Cloud Computing and Big Data
 Security and Privacy in Cloud Computing and Big Data

Cloud and Context for Business Process Management and Big Data Applications
 Cloud-based BPM and Workflow as a Service
 Context-aware recommendation process
 Workflow verification and generation with context and QoS constraints
 Load balancing and scheduling of cloud workflows
 Cloud/Context-based process mining

Mobile/IOT and Smart City
 Communication systems, network architecture and management for IoT
 RFID and wireless sensor networks
 Energy efficient resource management
 Smart city applications in environmental, garbage and smart transportation
 Smart city deployments, test-beds and field trials

Social Networking
 Modeling social networks
 Efficient algorithms for mining social networks
 Management of social media data
 Information extraction of social media
 Applications of social media data mining

Software Defined Everything (SDX)
 Architecture and Management of software-defined ecosystems
 Software-defined networking
 Software-defined storage
 Software-defined cyber-physical systems
 HW/SW co-design and tradeoffs

Important Dates
 Abstract submission deadline: June 8, 2015
 Submission deadline: June 15, 2015
 Notification of acceptance: August 10, 2015
 Final manuscript due: September 10, 2015
 Conference Date: November 4th to November 6th, 2015

Publication & Submission

Manuscripts need to be prepared according to the IEEE CS format
 For regular papers, the length should be 8 pages.
 For short papers, the length should be 4 pages.
 For poster papers, the length should be 2 pages.

Submission will be electronic, in pdf format only. Submitted papers
must not exceed 8 pages and should conform to Two-Column IEEE Format.
At least one author of each accepted paper must register for the
conference and present the contribution at the conference in order to
be published in the conference proceedings. Detailed formatting and
submissions instructions, as well as LaTeX
and Word templates, can be accessed through Manuscript Templates for
IEEE Conference Proceedings.

Submission system: https://easychair.org/conferences/?conf=ccbd2015

The conference proceedings will be published by IEEE CPS and submitted
for indexing to EI.

Best and selected papers will be recommended to several SCI and EI
indexed journals (NB: Those selected papers to be published directly
by EI indexed Journals will not be included in the conference
proceedings).

Best Paper Awards

The Best Paper Awards honor the author(s) of papers of exceptional
merit accepted for presentation in the conference. The finalist will
be notified before the conference. The winners will be selected and
announced during the conference. The extended version of best papers
and best paper candidates will be recommended to Chinese Journal of
Electronics (CJE, indexed by SCI) and Computes and Electrical
Engineering, (CaEE, indexed by SCI).

Journal Opportunities

Select papers recommended by track chairs will have the opportunities
to publish directly in the following popular international journals
(EI Indexed). Authors of accepted papers will be notified with journal
opportunities few days after the notification of acceptance.
 International Journal of Computational Science and Engineering (EI Indexed)
 International Journal of Embedded Systems (EI Indexed)
 International Journal of High Performance Computing and Networking
(EI Indexed)
 International Journal on Grid and High Performance Computing (EI Indexed)

Industry and Academia Collaboration
Aiming to provide a platform for closer interactions between
industrial practitioners and academic researchers, CCBD2015 will be
held concurrently with the International Forum on Cloud Computing, Big
Data, & IOT (November 5th to November 6th, 2015). Experts from both
academia and industry will take this occasion to exchange opinions on
most up-to-date technical and market development of cloud computing,
big data, and IoT. Leading industry thinkers will be invited to share
their perspectives. We wish this exchange will lead to important
partnerships between academia and industry on Cloud Computing and Big
Data.

Honorary Chairs

 C.K. Lee, National Taiwan University, Taiwan
 Richard Tsu-Chin Lee, Cloud Computing Association in Taiwan,
Inventec Corporation, Taiwan
 Ching-Jong Liao, National Taiwan University of Science and Technology, Taiwan
 Jyuo-Min Shyu, Cloud Computing Association in Taiwan, Ministry of
Science and Technology, Taiwan
 Jichuan Wu, Chinese Institute of Electronics, China

General Chairs
 Jinpeng Huai, Chinese Academy of Science, Beihang University, China
 Benjamin W. Wah, The Chinese University of Hong Kong, Hong Kong
 George Wang, Cloud Computing Association in Taiwan, Institute for Information
Industry, Taiwan
 Ko-Yang Wang, Cloud Computing Association in Taiwan, Institute for
Information Industry, Taiwan

Program Chairs
 Jinjun Chen, University of Technology of Sydney, Australia
 Yeh-Ching Chung, National Tsing-Hua University, Taiwan
 Yau-Hwang Kuo, Cloud Computing Association in Taiwan, National
ChengChi University, Taiwan
 Hahn-Ming Lee, National Taiwan University of Science and Technology, Taiwan
 Xiao Liu, East China Normal University, China