Service-Oriented and Cloud Computing

TL;DR: A complete automated system to decompose an application into microservices, deploy the micro services using appropriate resources, and auto-scale the microservices to maintain the desired response time is proposed.

TL;DR: The ExplorViz research tool development commenced in 2012, and grew toward a powerful, extensible open-source software that has been employed in a variety of software engineering research projects and research impact.

TL;DR: Theodolite as discussed by the authors is a framework for benchmarking the scalability of distributed stream processing engines, which can be applied to execute individual benchmarks for a given use case and workload dimension.

TL;DR: Early verification of forwarding policies before their deployment is proposed, by looking for the presence of anomalies that can potentially lead to erroneous and unexpected network behaviour.

TL;DR: The TOSCA permits to define an application as an orchestration of components, whose types can specify states, requirements, capabilities and management operations — but not how they interact with each other.

TL;DR: Application-level monitoring provides valuable, detailed insights into running applications, but many approaches often only employ a single analysis application, which may become a performance bottleneck when monitoring several programs resulting in reduced monitoring quality or violated service level agreements.

TL;DR: Traditional approaches based on workflow for orchestrating services provide little support for configuring at run-time the flow of activities, so instruments for dealing with dynamic and unpredictable user requirements and environment are needed.

TL;DR: A formal model of the availability, budget compliance and sustainability of istributed services, where service sustainability is a new concept which arises as the composition of service availability and budget compliance is introduced.