ICSOC is the premier international forum for presenting the most recent and significant research contributions in service-oriented computing. These include, but are not limited to:

    Service design, specification, discovery, customization, composition, and deployment
    Service change management
    Theoretical foundations of Service Engineering
    Service monitoring and adaptive management
    Secure service lifecycle development
    Privacy management aspects for services
    Secure service lifecycle development
    Privacy management aspects for services
    Trust management for services
    Service mining and analytics
    Data-provisioning services
    Cloud service management
    Cloud and fog computing
    Edge service orchestration
    Lightweight service deployment and management
    Social networks and services
    Innovative service business models

In addition to the traditional topics, which include 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, ICSOC welcome specific new 4 areas, which are presented below.
Focus Area 1: Artificial Intelligence for Services and as-a-Service

Machine learning allows computers to process large amounts of data automatically or at least, partially automatically to gain an understanding of that input, as well as acquire about using the input. It generally follows a “learn by doing” process to achieve artificial intelligence (AI) and enables computers to learn and act without being explicitly programmed. Machine learning and artificial intelligence have grown into a driving force for increasing smartness, operation efficiency, and decision-making in various applications. In many cases, machine learning itself can be considered as a service for public benefits.

Topics that are part of this focus area, as they relate to service-oriented computing, may include but are not limited to:

    Network architectures
    Graph neural networks
    Domain adaptation and transfer learning
    Event detection and tracking
    Neural ranking and neural recommendation
    Security and privacy of AI/machine learning
    Evaluation, performance studies, and benchmarks

Focus Area 2: Big Data Analytics for Services and as-a-Service

The proliferation of the Internet, edge computing, and ubiquitous computing devices have made available massive data that support gaining high-level knowledge of services, applications, and domains. Big data analysis is trending as the methodology and tools for knowledge mining from high-volume datasets (e.g., processes, transactions, web/event logs, and users’ activity histories) that are too large or complex to be dealt with by traditional data-processing application software. It is a cornerstone for the forthcoming era of AI and the relevant revolutions such as Industry 4.0.

Topics that are part of this focus area, as they relate to service-oriented computing, may include but are not limited to:

    Data cleaning and preparation
    Data Transformation and Integration
    Process mining and anomaly detection
    Visual techniques for big data
    Efficient data processing
    Information access and retrieval
    Exploratory data science

Focus Area 3: Novel Service Frameworks for IoT-based and Smart Environments

The Internet of Things (IoT) aims at turning every physical object into a “thing” on the Internet. It is made up of billions of “things” connected with each other: simple sensors, cameras, wearables, appliances, traffic lights, cars, and so on. The IoT involves harnessing the data and functionalities provided by “things” to enable novel smart services that benefit enterprises, industries, and society.

Topics that are part of this focus area, as they relate to service-oriented computing, may include but are not limited to:

    Embedded and real-time services
    RFID and sensor data
    Services for IoT/CPS (Cyber-physical systems) platforms and applications
    Service oriented protocols for IoT/CPS applications
    IoT as-a-service
    Smart cities and connected cars.
    IoT security
    Smart sensors and IoT for large scale applications (manufacturing, agriculture, healthcare, power grids, etc.)
    Energy efficiency and sustainability in IoT

Focus Area 4: Emerging Technologies

Emerging technologies bring new possibilities for more effective and efficient processing and integration of data and services. Thus, for example, we are living in the “quantum decade” in which quantum computers (whether annealers or gate-based) are starting to be used to solve previously unimaginable problems. Another example is the emergence of a new generation of chatbots and virtual assistants supported by the recent advances in natural language processing. All this offers new challenges and challenges that impact on the architecture, design and deployment of service systems. These and other emerging technologies, whether used individually or together, can have a major impact on the security, sustainability, connectivity, etc. of service-oriented computing.

Topics that are part of this focus area, as they relate to service-oriented computing, may include but are not limited to:

    Quantum Service Computing
    Digital twins
    3D printing/additive manufacturing techniques
    Blockchain
    Robotic Process Automation
    Chatbots and virtual assistants
    Low-code / No-code solutions
    Virtual Reality and Augmented Reality
    Green IT
    5G