Abstract

Towards enabling the automated and optimized FaaS deployment of applications in a hybrid-cloud setting, the application requirements should be met by comparing them to the capabilities of the available resources of available clusters. To this end, semantic matching between the application characteristics and the individual descriptions of available compute clusters (e.g. from public or private cloud or edge facilities available) is required. In this work, such a system is proposed, namely the Reasoning Framework, which performs semantic matching between application and resource (meta)data and facilitates information sharing among the FaaS platform components lever- aging Knowledge Graphs, ontology technologies, and semantic reasoning. The proposed system harvests information from the application function workflow, provided as a graph by the function editor specification (based on Node-RED), including developer-inserted annotations during the design process, and maps them to the dynamic information retrieved from the available clusters. The Reasoning Framework interprets these data as graphs and automatically applies several semantic rules that enable filtering of the available resources and efficient information retrieval through a RESTfull interface. The paper also discusses experimental results to further showcase the advantages of the proposed approach.

Authors

• Georgios Fatouros
• Yannis Poulakis
• Ariana Polyviou
• Stylianos Tsarsitalidis
• Georgios Makridis
• John Soldatos
• Georgios Kousiouris
• Michael Filippakis
• Dimosthenis Kyriazis

The post Knowledge Graphs and interoperability techniques for hybrid-cloud deployment of FaaS applications appeared first on PHYSICS.

Abstract

Scaling ACID transactions in a cloud database is hard, and providing elastic scalability even harder. In this paper, we present our solution for elastic scalable transaction processing in LeanXcale, an industrial-strength NewSQL database system. Unlike previous solutions, it does not require any hardware assistance. Yet, it does scales linearly to 100s of servers. LeanXcale supports non-intrusive elasticity and can move data partitions without hurting the quality of service of transaction management. We show the correctness of LeanXcale transaction management. Finally, we provide a thorough performance evaluation of our solution on Amazon Web Services (AWS) shared cloud instances. The results show linear scalability, e.g., 5 million TPC-C NewOrder TPM with 200 nodes, which is greater than the TPC-C throughput obtained by the 9th highest result in all history using dedicated hardware used exclusively (not shared like in our evaluation) for the benchmark. Furthermore, the efficiency in terms of TPM per core is double that of the two top TPC-C results (also the only results in a cloud).

Authors

• RicardoJimenez-Peris
• DiegoBurgos-Sancho
• FranciscoBallesteros
• MartaPatiño-Martinez
• PatrickValduriez

The post Elastic scalable transaction processing in LeanXcale appeared first on PHYSICS.

PHYSICS and CHARITY projects join forces to organise a webinar entitled “Opening up the Cloud Edge Continuum to new generations of applications”. The webinar aims to bring together audiences with an interest in the Cloud Edge Continuum and showcase the projects’ contributions in this area.

AGENDA

• Introduction by the webinar moderator, Uwe Herzog (Eurescom, CHARITY)
• CHARITY Project
  – CHARITY project overview (Dr. Tarik Taleb – ICTFICIAL)
  – Overview and demonstration of CHARITY blueprint design framework (Paolo Barone – Hewlett Packard Enterprise)
• PHYSICS project
  – CHARITY project overview (Fabrizio Di Peppo – GFT)
  – Introduction and demonstration of the PHYSICS FaaS Design Environment (Dr. Georgios Kousiouris – Harokopio University of Athens)
• Q&A

PHYSICS and CHARITY projects aim to improve the ability of application developers and service providers to create and deploy advanced applications for the Cloud2Edge Continuum as  CHARITY addresses XR applications, PHYSICS serverless (FaaS) applications.

CHARITY provides an environment to facilitate the composition of application blueprints,
specifying component microservices, resource slices and virtual links into a TOSCA template, ready for the runtime orchestrator to provision and manage its lifecycle.
PHYSICS offers a design environment allowing to graphical create abstract annotated workflows of composite applications, that the platform later translates into actionable FaaS sequences, in a DevOps chain allowing local pre-deployment functional testing

Both projects provide advanced lifecycle management of deployed applications,
able to dynamically control and optimize the allocation of application components based
on their respective KPIs.

The post Opening up the Cloud Edge Continuum to new generations of applications appeared first on PHYSICS.

Additional information about the publication “HOCC: an ontology for the holistic description of cluster settings as you have correctly identified“, you can find it here.

You may follow the PHYSICS project activities on Twitter and LinkedIn.

The post HOCC: an ontology for the holistic description of cluster settings as you have correctly identified appeared first on PHYSICS.

Abstract

Ontologies have become the de-facto information representation method in the semantic web domain, but recently gained popularity in other domains such as cloud computing. In this context, ontologies enable service discovery, effective comparison and selection of IaaS, PaaS and SaaS offerings and ease the application deployment process by tackling what is known as the vendor lock-in problem. In this paper we propose a novel ontology named HOCC: holistic ontology for effective cluster comparison. The ontology design process is based on four different information categories, namely Performance, SLA, cost and environmental impact. In addition we present our approach for populating, managing and taking advantage of the proposed ontology as developed in a real world Kubernetes cluster setting, as well as instantiating the ontology with example services and data (namely performance aspects of a serverless function).

Authors

• Yannis Poulakis,
• Georgios Fatouros,
• George Kousiouris
• Dimosthenis Kyriazis

The post HOCC: an ontology for the holistic description of cluster settings as you have correctly identified appeared first on PHYSICS.