ICSOC 2020 : The 18th International Conference on Service-Oriented Computing

ICSOC, the International Conference on Service-Oriented Computing, is the premier international forum for academics, industry researchers, developers, and practitioners to report and share groundbreaking work in service-oriented computing. ICSOC fosters cross-community scientific excellence by gathering experts from various disciplines, such as business-process management, distributed systems, computer networks, wireless and mobile computing, cloud computing, cyber-physical systems, networking, scientific workflows, services science, data science, management science, and software engineering.

ICSOC provides a high-quality forum for presenting results and discussing ideas that further our knowledge and understanding of the various aspects (e.g. application and system aspects) related to Service Computing applied to new application areas and gain insights into a variety of computing, networked, and cyber-physical systems ranging from mobile devices and Internet-of-Things (IoT) applications to large-scale cloud computing systems and the smart grid.

ICSOC 2020, the 18th event in this series, will take place in Dubai, UAE from November 9 to November 12, 2020. Following on the ICSOC tradition, it will feature visionary keynote presentations, research and industry presentations, a vision track, workshops, tool demonstrations, tutorials, and a Ph.D. track. We invite interested researchers, students, practitioners, and professionals to submit their original contributions to the research and industry tracks of ICSOC 2020.

Important dates

 Areas of interest

ICSOC 2020 will be divided into two main tracks, the research track and the visionary track. While the visionary track targets visionary papers with high potential that may bring some impact in the future for the community, the research track will focus on the following four main areas.

Focus Area-1: Service Oriented Technology Trends

This focus area targets outstanding, original contributions, including theoretical and empirical evaluations, as well as practical and industrial experiences, with emphasis on results that solve open research problems and have significant impact on the field of digital services and service-oriented computing.

Topics that are part of this focus area may include but are not limited to:

• Service-oriented Engineering
  • Service design, specification, discovery, customization, composition, and deployment
  • Service validation and test
  • Service change management
  • Intelligent context-aware interfaces
  • Theoretical foundations of Service Engineering
  • Transformation of monolithic applications to microservices
• Run-time Service Operations and Management
  • Service execution middleware
  • Service monitoring and adaptive management
  • Workload compliance management
  • Microservices deployment and management
• Security, privacy and trust for services
  • Secure service lifecycle development
  • Privacy management aspects for services
  • Contract based security approaches
  • Secure service composition
  • Trust management for services
• Services and Data
  • Services for big data
  • Service mining and analytics
  • Data-provisioning services
  • Services related linked open data
• Services on the Cloud
  • Cloud service management
  • Cloud workflow management
  • Cloud brokers and coordination across multiple resource managers
  • XaaS (everything as a service including IaaS, PaaS, and SaaS)
  • Workload partitioning, balancing, and transformation
• Services at the Edge
  • Cloud and fog computing
  • Edge service orchestration
  • Lightweight service deployment and management
  • Quality of Service (QoS) in edge services
  • Security, privacy, and trust of edge services
• Services in the Internet of Things (IoT)/Cyber-Physical Systems (CPS)
  • Embedded and real-time services
  • RFID, sensor data, and services related to the IoT/CPS
  • Services for IoT/CPS platforms and applications
  • Service oriented protocols for IoT/CPS applications
• Services in Organizations, Business, and Society
  • Social networks and services
  • Cost and pricing of services
  • Service marketplaces and ecosystems
  • Innovative service business models

Focus Area-2: Blockchain Technologies

A blockchain is a decentralized distributed ledger that records and stores transactions among a number of interacting parties in a network. Each transaction must be validated via a consensus mechanism executed by the network participants before being permanently added as a new “block” at the end of the “chain.” Disruptive technologies such as blockchain, AI, services, and cloud enable companies and administrations to provide decentralized, trusted, transparent and user-centric digital services while enhancing user/consumer experience. These technologies have the ability to transform the way we use the internet and digital services globally. Topics that are part of this focus area may include but are not limited to:

• Blockchain in digital services
• Block chain and smart business transactions
• Block chain and smart contracts
• Blockchain in the Internet of things (IoT)
• Blockchain in cyber physical systems
• Blockchain in edge and cloud computing
• Disintermediation and collaboration mechanisms in block chains
• Peer-to-peer networks
• Block chain platforms
• Blockchain in supply chain management
• Trust and security services in block chains
• Cutting edge cipher algorithms

Focus Area-3: Industry 4.0 Technologies

Industry 4.0 (or smart manufacturing) sets the foundations for completely connected factories that are characterized by the digitization and interconnection of supply chains, production equipment and production lines, and the application of the latest advanced digital information technologies to manufacturing activities. The manufacturing paradigm championed by the Industry 4.0 brings together processes, software services and systems, machines, devices, IoT, sensors, valves, actuators, manufacturing systems, and connected digital factories. All these computer-driven systems create a virtual copy of the physical world and help make decentralized decisions with much higher degree of accuracy.

Topics that are part of this focus area may include but are not limited to:

• Digital twins and digital threads
• Digital product management
• Digital manufacturing
• Digital transformation
• Digital reality
• Embedded systems
• Internet of Things in Industry 4.0
• 3D printing/additive manufacturing techniques
• Machine-To-Machine communication for smart manufacturing
• Smarter analytics
• Manufacturing Intelligence
• Smart factories
• Smart asset management
• Smart Cyber-Security in Industry 4.0
• Blockchain in Industry 4.0

Focus Area-4: Smart services, Smart data and Smart applications

Smart data systems and services support the processing and integration of data and services into a meaningful unified view to enable more effective decision making and problem solving. The decisive criterion here is not necessarily the amount of data or services available, but smart content techniques that promote not only the collection and accumulation of related data and services, but also its context, and understanding. This requires finding useful insights and discovering patterns and trends within the data and services to reveal a wider picture that is more relevant to the problem in hand and react to them.

Smart applications are context aware, intelligent and autonomous industrial strength applications that incorporate data-driven, actionable contextual insights into the user experience to enable users to more efficiently complete a desired task usually taking the form of recommendations, estimates, and suggested next course of actions in context.

Topics that are part of this focus area may include but are not limited to:

• Smart Big Data
• Predictive Modeling
• Visualization & Augmented Reality
• Smarter Analytics
• Machine Learning
• Multidimensional Data
• Sensor Networks
• Smart cities
• Smart applications for the construction industry
• Smart transportation systems
• Smart logistics & distribution
• Smart agriculture and food chains
• Smart government
• Smart sensors & IoT for large scale industrial applications
• Traceability and Tracking
• Detection of data and key performance metrics to improve application efficiency
• Conceptual structures and knowledge architectures for smart applications
• Agile & DevOps methodologies for smart applications

Paper Submission

The conference solicits outstanding original research and practice papers on all aspects of service-oriented computing. Papers should clearly demonstrate the research or practical contribution, the relevance to the field, and the relationship to prior work. Submitted papers will be evaluated according to their rigor, significance, originality, technical quality, and exposition. All papers will be reviewed by at least three members of the Program Committee.

Papers should be formatted according to Springer’s LNCS Formatting Guidelines. Submissions must be in English. The limit length of accepted papers should be 15 pages (including abstract, figures and references) with a maximum of 2 extra paid pages (90EUR per extra page). All papers must be submitted electronically to the Conference Submission System. The final submission should be formatted according to Springer’s LNCS Camera ready instructions.

For each accepted paper, at least one author must attend the conference and present the paper. The deadline for identifying and registering this individual author will be at the time when the camera-ready version is submitted.

Best Paper Award

The Best Paper Award, sponsored by Springer, will be given to the paper that the Program Committee judges to be the best in quality, execution, and impact among all the accepted papers in the conference.

Proceedings

All accepted papers will be included in the Conference Proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series.