Conference Information
APSCC 2019: IEEE Asia-Pacific Services Computing Conference
http://www-personal.usyd.edu.au/~bzho9612/apscc2019/
Submission Date:
2019-09-25 Extended
Notification Date:
2019-10-15
Conference Date:
2019-12-11
Location:
Sydney, Australia
Years:
13
CORE: c   QUALIS: b3   Viewed: 18586   Tracked: 19   Attend: 8

Conference Location
Call For Papers
The services computing is a new cross-discipline that covers the science and technology needed to bridge the gap between business services and IT/telecommunication services. The goal of services computing is to develop new computing technology and thereby enable more advanced IT/telecommunication services to support business services more efficiently and effectively.

APSCC is an important forum for researchers and industry practitioners to exchange information regarding advancements in the state of art and practice of IT/telecommunication-driven business services and application services, as well as to identify emerging research topics and define the future directions of Services Computing.

Previous APSCC conferences were held in Guangzhou, China (2006), Tsukuba Science City, Japan (2007), Yilan, Taiwan China (2008), Biopolis, Singapore (2009), Hangzhou, China (2010), Jeju, Korea (2011), Guilin, China (2012), Fuzhou, China (2014), Bangkok, Thailand (2015), Zhangjiajie, China (2016), Bali, Indonesia (2017) and Zhuhai, China (2108). As the 13th event in the increasingly popular series, APSCC 2019 expects to attract outstanding researchers from all over the world to Sydney - the world famous beautiful city in Australia, and continues to establish the status of APSCC as one of the major conferences on the services computing.

Topics of Interest of Main Track

Topics of interest for each of the main research tracks of the 2019 conference edition include, but are not limited to:

1. Cloud/Utility/Web Computing/BigData

    Cloud computing
    Resource acquisition models in cloud/utility computing
    Security management, analysis for cloud/utility services
    System performance evaluation, analysis and management
    Utility business services
    Utility computing
    Web computing
    Web service discovery and negotiation
    Web service management and collaboration
    Web service security and privacy
    Big Data collection and pre-processing
    Big Data storage and parallel computing
    Big Data intelligent computing, mining methods and algorithms

2. Foundations of Services Computing

    Formal methods for services computing
    Service-oriented business consulting methodologies and utilities
    Services composition
    Services delivery
    Services discovery
    Services modeling
    Services science
    Services value chain and innovation lifecycle

3. Social/Peer-to-Peer/Mobile/Ubiquitous/Pervasive Computing

    Online Social Networks
    Peer-to-Peer Computing
    Human interface for mobile/ubiquitous/pervasive environments
    Mobile ad hoc networks
    Mobile wireless Internet
    Mobile CrowdSourcing
    Mobile/ubiquitous security
    Mobile/ubiquitous/pervasive quality of service (QoS) adaptation
    Personal area networks, body wireless networks, Bluetooth
    Software-defined radio, reconfigurable radio network
    Wireless sensor networks

4. Service-centric Computing Models

    Business strategy and design
    Service-oriented architecture (SOA)
    SOA industry solutions
    SOA industry standards
    SOA solution stack
    Telecommunication Services
    Fixed-mobile convergence

5. Integration of telecommunication SOA and Web services

    Service orchestration
    Internet Protocol Television (IPTV)
    Service-oriented Telco architectures and business processes
    IP Multimedia Subsystem (IMS)
    Next generation networks
    Quality of service (QoS) and billing

6. Business Process Integration and Management

    Application integration services (e.g., Enterprise Service Bus)
    Business performance management
    E-business solutions
    Enterprise modeling
    Industry solution patterns
    Linkage between IT services and business services
    Mathematical foundation of business process modeling,integration and management
    Security, privacy and trust in business process management
    Service computing process modeling, transformation and integration
    Service level automation and orchestration
    Software architecture design, development and deployment (e.g., Software as a Service)

7. Security in Services

    Cryptography for privacy-preserving in cloud computing
    Privacy preserving cryptographic protocols
    Privacy preserving cryptographic access control
    Privacy preserving keyword search scheme
    Privacy preserving data sharing methodology
    Privacy preserving public auditing
    Privacy preserving resource usage
    Trusted execution environment
    Trustworthy infrastructures and services for cloud computing
Last updated by Dou Sun in 2019-09-14
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