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ICSOC 2023 : International Conference on Service-Oriented Computing

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Conference Series : International Conference on Service Oriented Computing
 
Link: https://icsoc2023.diag.uniroma1.it/call-for-papers/
 
When Nov 28, 2023 - Dec 1, 2023
Where Rome, Italy
Submission Deadline Jul 3, 2023
Notification Due Sep 10, 2023
 

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 services science, data science, management science, business-process management, distributed systems, wireless and mobile computing, cloud and edge computing, cyber-physical systems, Internet-of-Things (IoT), scientific workflows, artificial intelligence, machine learning, and services 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 with particular focus on artificial intelligence, machine learning, big data analytics, IoT, and emerging technologies including quantum computing.

ICSOC 2023, the 21st event in this series, will take place in Rome, Italy from November 28 – December 1, 2023. Following on the ICSOC tradition, it will feature visionary keynote presentations, research and industry presentations, a vision track, workshops, tutorials, and a PhD track. We invite interested researchers, students, practitioners, and professionals to submit their original research contributions to ICSOC 2023.
Areas of interest

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 sciences

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, sensor data, and services related to the IoT/CPS
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

Related Resources

ICSOC 2024   International Conference on Service-Oriented Computing
SOCA 2024   Service-Oriented Computing and AI
ISORC 2024   International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing
CISOSE 2024   IEEE International Congress on Intelligent and Service-Oriented Systems Engineering
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
OOPSLA 2024   The Object-Oriented Programming, Systems, Languages, and Applications 2024 (R2)
ICBICC 2024   2024 International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2024)
PCDS 2024   The 1st International Symposium on Parallel Computing and Distributed Systems