The ubiquity and pervasiveness of services, as well as their capability to be context-aware with (self-) adaptive capacities posse challenging tasks for services orchestration, integration, and integration. Some services might require energy optimization, some might requires special QoS guarantee in a Web-environment, while other a certain level of trust. The advent of Web Services raised the issues of self-announcement, dynamic service composition, and third party recommenders. Society and business services rely more and more on a combination of ubiquitous and pervasive services under certain constraints and with particular environmental limitations that require dynamic computation of feasibility, deployment and exploitation.

SERVICE COMPUTATION 2021 , The Twelfth International Conferences on Advanced Service Computing, the series of events targets service computation on different facets. It considers their ubiquity and pervasiveness, WEB services, and particular categories of day-to-day services, such as public, utility, entertainment and business.

SERVICE COMPUTATION 2021 is aimed at technical papers presenting research and practical results, industrial small- and large-scale systems, challenging applications, position papers addressing the pros and cons of specific topics, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the topics, short papers on work in progress, and panel proposals.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All topics and submission formats are open to both research and industry contributions.

SERVICE COMPUTATION 2021 conference tracks:

Trends in service computation

Cloud services orchestration; Context-aware adaptation of service-based systems; Service computation in Smart Cities environments; Virtualized services in the networks ( core, at aggregation points, and at the edge); Cloud on-the-fly services; Microdata service centers at PoPs; Open-source infrastructure as a Service; Event-Driven Service-Oriented Architecture (ED-SOA or SOA 2.0); Service computation for smart vehicles; Service composition and orchestration in the Internet of Things (IoT) and Internet of Drones (IoD) systems; Service composition based on granularity computing; Visualization as a service; Enterprise scale service computation; Agent-based modelling as a service; Decentralized Web service composition; Service composition for collaboration support

Challenges in service computation

Continuous adaptation of Service-based systems for mobile environments; Concurrent negotiations for customized cloud service quality; Dynamic QoS monitoring in Service-oriented systems; Service replication process in distributed environments; Contract monitoring service; Dynamic testing; Prediction-as-a-Service; Scalable QoE prediction for service composition; Architectures for scale computing; Scalable and cost-efficient cloud storage; Strategies for Quality-aware service selection; Service contracts for risk prediction; Decentralized Web-service composition; Context-aware for Web-service clustering; Multi-tenant service composition; Collaborations through service composition; Reputation for Service composition in the Internet of Things (IoT)

Service innovation, evaluation and delivery

Service requirement validation; Service design; Service deployment; Service delivery; Service lifecycle; Service knowledge and service innovation; Model-driven service engineering; Knowledge-intensive services; Risk management in services management; Service testing and validation; Service consumption and delivery outcome; Quality of service; Quality of experience; Quality of service impact; Service audit metrics; Service innovation; Service bundling; Service research; Service composition; Collaborative services; Service business models; Service personalization; Security and trust in services

Ubiquitous and pervasive services

Foundations of ubiquitous and pervasive services, networks and applications; Specification, discovery, and matching of ubiquitous and pervasive services; Computing, orchestration and harmonization of ubiquitous and pervasive services; Technologies for modeling, designing, and testing ubiquitous and pervasive services; Service-oriented agent-based architectures, protocols and deployment environments; Integration and deployment of ubiquitous and pervasive services; Ubiquitous and pervasive services in peer-to-peer and overlay networks; Ubiquitous and pervasive services in mobile networks and sensor networks; Ubiquitous and pervasive services in unmanned air, underwater, and ground vehicle networks; Adaptive and self-adaptive ubiquitous and pervasive services; Context awareness, adaptation and management of ubiquitous and pervasive services; Security, trust and privacy management in ubiquitous and pervasive services; Semantics and ontology for ubiquitous and pervasive services; Web services and middleware support for ubiquitous and pervasive services; Energy management and harvesting for network with ubiquitous and pervasive systems; Case studies, lessons learned, experiments, simulations and trials for ubiquitous and pervasive services

WEB Services

Basics and formalisms on Web services; Web x.0 concepts in Web services evolution in this framework; Methodologies for specification, deployment and enhancements of Web services; Modeling and composition of Web services; Discovery, matching, and integration of Web services; SLA/QoS/QoE in Web services (privacy, security, performance, reliability, fault tolerance); Testing and validating Web services; Publishing, discovery, tracking, and selection of Web services; Web services lifecycle management; Semantics and Ontology in Web services; Cloud computing, service-as-a-software and on-demand Web services; Mobile and intermittent Web services; Web services-based services, applications and solutions; Web services standards and formalizations; Service-Oriented Architecture (SOA) infrastructure and middleware

Uncertain Web Services

Uncertainty-aware QoS; Uncertainty in Web service compositions; Discovering services under uncertainty; The uncertainty-enabled model web; Trust assessment for Web services under uncertainty; Uncertainty in chained Web services; Uncertainty propagation; Representing and simulating uncertain environmental variables; Quantifying, managing and communicating uncertainty; Uncertainty Markup Language (UncertML)

Skyline Services

Skyline services composition; QoS-based skyline selection; Dominant Web services; Spatial skyline computation; Selecting dynamic skyline services; Skyline metrics and criteria; Parallelization of skyline computation; Progressive skyline computation; Skyline optimization for Web service composition; Skyline applications (Peer-to-Peer, Demographic, etc.); Benchmarks for skyline computation

Society and business services

Public (mail, schools, banking, financial, personal, real estate, health, government, insurance, hospitals, transportation, library); Utility (broadcasting & cable TV, printing & publishing, energy, Internet, hotels, retail, waste management, security, rental); Entertainment (advertising, casinos & gaming, recreational, restaurant, travel); Business (communications, specialty, technology, planning, supply chain management, marketing, design, wholesale distribution); Business process management (business knowledge, business protocols, service level agreements, business licensing models, business financial models, and business advertising models

Service measurement

QoS metrics and indicators; data quality; validity of models; uncertainty analysis; SLA monitoring; measurement of business objectives; dynamics of monitoring; quantification of trust and trustworthiness; propagation of measurements; triangulation; expert judgments; aggregation of measurements

Empirical methods in system and service management

Empirical evaluations; method and model validation based on empirical trials; case studies; experiments; guidelines and best practices for structured empirical research; validity and reliability of empirical research; systematic reviews; metrics; measurements; expert judgments; case study design; reporting of empirical research