Conference Information

APSCC 2019: IEEE Asia-Pacific Services Computing Conference

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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: 46786   Tracked: 19   Attend: 8

Call For Papers

APSCC 2019 (IEEE Asia-Pacific Services Computing Conference) is a CORE C / QUALIS B3 conference held in Sydney, Australia on 2019-12-11. The paper submission deadline is 2019-09-25 (extended). Acceptance notifications are sent on 2019-10-15.

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
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