SerCo 2019 - 3rd Special Session on High Performance Services Computing and Internet Technologies (SerCo 2019)

Since its establishment as a software design style, Service Oriented Architectures have taken the ICT world by storm. The Lego pieces logic thrived through Cloud Computing and it is now considered the standard approach in practically every application framework. The keyword for this success is adaptivity: Service Oriented Architectures are implemented through a wide range of technologies and tools leading to numerous combinations that meet the application requirements in the desired way.
But there is a specific combination of application characteristics and requirements that seemingly put SOAs to the test: data-intensive tasks coupled with performance and temporal requirements. The challenge is justified because SOAs are simply not meant to deal with shifting large data volumes between nodes. And unfortunately this is a common problem nowadays: IoT and big data applications are simply two general application categories that come with exactly those characteristics and -more often than not- with the said temporal requirements. To a certain extent the problem is mitigated through the increase of the SOA infrastructures’ computing and storage node density while “stretching” them at the same time. Edge and fog computing as well as lambda services are emerging trends that validate the concept.
This special session on services invites research communities from a diverse set of scientific areas such as cloud, distributed, parallel and high-performance computing to publish their work and share opinions about applications, challenges and viable solutions to the potential new systems emerging from the need to deal with data intensive application tasks within a SOA and services computing framework.
The SerCo Session topics include (but are not limited to) the following:
The special session seeks works dealing with topics that revolve around the general combination of SOA, data intensive applications and temporal requirements. The technology space for this work may relate to the following not-limited list of technologies and use cases:
Foundational aspects of SOA, Services Computing and HPC
Service oriented computing architectures for Big data and data-intensive tasks
Internet of Things Technologies for Services Computing
Edge and Fog Computing
HPC Cloud and Services oriented computing
Service-oriented Computing for Smart Systems and Cyber Physical Systems
Smart & Future Cities and HPC Systems
System Virtualization and Container infrastructures for Services Computing
Microservice-based systems and architectures
Model driven service engineering (MDSE) architectures and systems
Interoperability in Enterprises and Services Computing
Lambda and nano services
Service migration and other approaches to Elastic Computing
Operations and Management for Service-Based Systems
Software Engineering and Programming models for Service Oriented Computing
Service-oriented Business Models and Business Process Integration
Standards and Specifications of Services
Service Security, Privacy and Trust
Ontology and Semantic Web for Services Computing
Green Web Services
Service-level Fault-tolerance
Robustness and Resilience
Services in Developing Countries
Linked Open Data and Web Services
Service-based Grid/Cloud/Autonomic Computing
Quality of Service and Cost of Service management
Uncertainty in Web/Cloud Services
Services selection and recommendation
Crowdsourcing services
Use cases for Service-oriented Computing
HPC Machine Learning
Storage Services
HPC Cluster Management Services
Vehicular Services
Bioinformatic Services
Prediction and Evaluation of Service Performance Components
Service Level Agreements
Resource Management Services