Conference Information
ICSOC 2020: International Conference on Service Oriented Computing
Submission Date:
2020-05-31 Extended
Notification Date:
Conference Date:
Dubai, UAE
CCF: b   CORE: a   QUALIS: a2   Viewed: 20395   Tracked: 54   Attend: 8

Conference Location
Call For Papers
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.

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
Last updated by Dou Sun in 2020-05-29
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