Download 2013 International Conference on Cloud Computing and Big Data

2013 International Conference on Cloud Computing and Big Data
FUZHOU LAKESIDE HOTEL
FuZhou, China
December 16-19, 2013
Call for Papers
“Cloud” is a common metaphor for an Internet accessible infrastructure (e.g. data storage and computing hardware) which is hidden from users. Cloud Computing makes data
truly mobile and a user can simply access a chosen cloud with any internet accessible device. In Cloud Computing, IT-related capabilities are provided as services, accessible
without requiring detailed knowledge of the underlying technology. Thus, many mature technologies are used as components in Cloud Computing, but still there are many
unresolved and open problems. The Cloud Computing Association (www.cloudcom.org) aims to bring together researchers who work on cloud computing and related
technologies. CloudCom-Asia (asia2013.cloudcom.org) aims to bring together researchers who work on cloud computing and related technologies.

Camera-ready: Oct. 25, 2013
Prof. Hai Jin
Fuzhou University
Author registration: Oct. 25, 2013
Huazhong
University of Stavanger
Workshop Proposals: June. 30, 2013
Technology(HUST)
Fujian Normal University

China
Nanjing University of Post & Telcom
Academia:
Dr. Cho‐Li Wang
Chung Hua University
Prof. Chunming Rong,
University of Hong Kong
IEEE Computer Society
University of Stavanger (UiS)
China
Cloud Computing Association
Norway
Industrial:
IEEE Cloud Computing Initiative
Dr. Rajkumar Buyya
Dr. Wu Chou
TSCGCC, IEEE Communications Society
University of Melbourne
(Global Head of Huawei IT Lab
IEEE Cloud Computing Initiative
Australia
& Vice President & Chief IT Scientist, China)
Fuzhou City Government
Dr. Jie Li

University of Tsukuba
Sponsors
Important Dates
Submission: Sept. 17, 2013
Notification: Oct. 11, 2013
Keynote Speakers
Japan
University
of
Science
and

Special Issues

Submission & Publication
Best Paper Awards will be presented to high quality papers.
Manuscripts need to be prepared according to the IEEE CS format (Format Link)
Selected papers, after further extensions and revisions, will be published
For regular papers, the page should be 6-8 pages.
in special issues of the following prestigious journals
For short papers, the page should be 4-6 pages.
Journal of Internet Technology (ISI Impact Factor = 0.448)
For workshops, the page should be 6 pages.
International Journal of Cloud Computing (Scopus, EI)
For poster and demo, the page limit will be 4 pages.
*Cryptographic primitives
HPC on Cloud
 Topics
*Reliability and availability
*Load balancing for HPC clouds
Architecture
*Trust and credential management
*Middleware framework for HPC clouds
*Cloud Infrastructure as a Service
*Usability and security
*Scalable scheduling for HPC clouds
*Cloud Platform as a Service
*Security and privacy in clouds
*HPC as a Service
*Cloud federation and hybrid cloud infrastructure
*Legacy systems migration
*Performance Modeling and Management
*Programming models and systems/tools
*Cloud Integrity and Binding Issues
*Programming models for HPC clouds
*Green data center
Services and Applications
*HPC cloud applications
*Networking technologies for data center
*Cloud
Service
Composition
*Optimal cloud deployment for HPC
*Cloud system design with FPGA, GPU, APU
*Query and discovery models for cloud services
Big Data:
*Monitoring, management and maintenance
*Trust and Security in cloud services
*Machine learning
*Economic and business models
*Change management in cloud services
*Data mining
*Dynamic resource provisioning
*Organization models of cloud services
*Approximate and scalable statistical methods
MapReduce
*Innovative cloud applications and experiences
*Graph algorithms
*Performance characterization and optimization
*Business process and workflow management
*Querying and search
*MapReduce on multi-core, GPU
*Service-Oriented Architecture in clouds
*Data Lifecycle Management for Big Data (sources,
*MapReduce on hybrid distributed environments
Virtualization
cleansing, federation, preservation, privacy, etc.)
*MapReduce
on
opportunistic/heterogeneous
*Server, storage, network virtualization
*Frameworks, tools and their composition
computing systems
*Resource monitoring
*Storage and analytic architectures
*Extension of the MapReduce programming model
*Virtual
desktop
*Performance and debugging
*Debugging and simulation of MapReduce systems
*Resilience, fault tolerance
*Hardware optimizations for Big Data (multi-core,
*Data-intensive applications using MapReduce
*Modeling
and
performance
evaluation
GPU,
networking, etc.)
*Optimized storage for MapReduce applications
*Security aspects
*Data Flow management and scheduling
*Fault-tolerance & Self-* capabilities
*Enabling disaster recovery, job migration
Security and Privacy
*Energy efficient issues
*Accountability
*Audit in clouds
*Authentication and authorization
All accepted papers will be published by IEEE CPS (EI).