Virtualization and network mirroring to deliver High Availability to Grid services

12 páginas, 4 figuras.-- Trabajo presentado al 4rd Iberian Grid Infrastructure Conference celebrado en Braga (Portugal) del 24 al 27 de mayo de 2010.Nowadays virtualization has become a commonly adopted so- lution within modern datacenters. Its advantages over traditional machines are widely known. In this paper we describe the work done at the IFCA facilities to implement an auto healing mechanism to a given set of Virtual Machines (VMs) by using disk mirroring over network. The resulting system is a secure, robust and fast failover mechanism that is able to perform an unattended commute of the execution host of a given set of VMs in case of any failure.Peer reviewe

Panel on resources in Spain for the federated cloud

Trabajo presentado al Spanish JRU EGI-ENGAGE meeting celebrado en Madrid el 23 de febrero de 2015.EGI-InSPIRE RI-261323.N

INDIGO-Datacloud: foundations and architectural description of a Platform as a Service oriented to scientific computing

Software Engineering.-- et al.In this paper we describe the architecture of a Platform as a Service (PaaS) oriented to computing and data analysis. In order to clarify the choices we made, we explain the features using practical examples, applied to several known usage patterns in the area of HEP computing. The proposed architecture is devised to provide researchers with a unified view of distributed computing infrastructures, focusing in facilitating seamless access. In this respect the Platform is able to profit from the most recent developments for computing and processing large amounts of data, and to exploit current storage and preservation technologies, with the appropriate mechanisms to ensure security and privacy.INDIGO-DataCloud is co-founded by the Horizon 2020Framework Programme.Peer reviewe

ooi: OpenStack OCCI interface

In this document we present an implementation of the Open Grid Forum’s Open Cloud Computing Interface (OCCI) for OpenStack, namely ooi (Openstack occi interface, 2015). OCCI is an open standard for management tasks over cloud resources, focused on interoperability, portability and integration. ooi aims to implement this open interface for the OpenStack cloud middleware, promoting interoperability with other OCCI-enabled cloud management frameworks and infrastructures. ooi focuses on being non-invasive with a vanilla OpenStack installation, not tied to a particular OpenStack release version

Orchestrating Complex Application Architectures in Heterogeneous Clouds

[EN] Private cloud infrastructures are now widely deployed and adopted across technology industries and research institutions. Although cloud computing has emerged as a reality, it is now known that a single cloud provider cannot fully satisfy complex user requirements. This has resulted in a growing interest in developing hybrid cloud solutions that bind together distinct and heterogeneous cloud infrastructures. In this paper we describe the orchestration approach for heterogeneous clouds that has been implemented and used within the INDIGO-DataCloud project. This orchestration model uses existing open-source software like OpenStack and leverages the OASIS Topology and Specification for Cloud Applications (TOSCA) open standard as the modeling language. Our approach uses virtual machines and Docker containers in an homogeneous and transparent way providing consistent application deployment for the users. This approach is illustrated by means of two different use cases in different scientific communities, implemented using the INDIGO-DataCloud solutions.The authors want to acknowledge the support of the INDIGO-Datacloud (grant number 653549) project, funded by the European Commission's Horizon 2020 Framework Program.Caballer Fernández, M.; Zala, S.; López, Á.; Moltó, G.; Orviz, P.; Velten, M. (2018). Orchestrating Complex Application Architectures in Heterogeneous Clouds. Journal of Grid Computing. 16(1):3-18. https://doi.org/10.1007/s10723-017-9418-yS318161Aguilar Gómez, F., de Lucas, J.M., García, D., Monteoliva, A.: Hydrodynamics and water quality forecasting over a cloud computing environment: indigo-datacloud. In: EGU General Assembly Conference Abstracts, vol. 19, p 9684 (2017)de Alfonso, C., Caballer, M., Alvarruiz, F., Hernández, V.: An energy management system for cluster infrastructures. Comput. Electr. 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Sci. 18, 2376–2385 (2013). https://doi.org/10.1016/j.procs.2013.05.409Fiore, S., Palazzo, C., D’Anca, A., Elia, D., Londero, E., Knapic, C., Monna, S., Marcucci, N.M., Aguilar, F., Płóciennik, M., et al.: Big data analytics on large-scale scientific datasets in the indigo-datacloud project. In: Proceedings of the Computing Frontiers Conference, pp 343–348. ACM (2017)Fiore, S., Płóciennik, M., Doutriaux, C., Palazzo, C., Boutte, J., żok, T., Elia, D., Owsiak, M., D’Anca, A., Shaheen, Z., et al.: Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system. In: 2016 IEEE International Conference on Big Data (Big Data), pp 2911–2918. IEEE (2016)Galante, G., Erpen de Bona, L.C., Mury, A.R., Schulze, B., da Rosa Righi, R.: An analysis of public clouds elasticity in the execution of scientific applications: a survey. 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Syst. 67, 329–340 (2017). https://doi.org/10.1016/j.future.2016.02.008Kurkcuoglu Soner, Z., Bonvin, A.: Science in the clouds: virtualizing haddock powerfit and disvis using indigo-datacloud solutions (2016)Lipton, P.C.T., Moser, S.I., Palma, D.V., Spatzier, T.I.: Topology and Orchestration Specification for Cloud Applications. Tech. rep., OASIS Standard (2013)Liu, C., Mao, Y., Van der Merwe, J., Fernandez, M.: Cloud Resource Orchestration: a Data-Centric Approach. In: Proceedings of the Biennial Conference on Innovative Data Systems Research (CIDR), pp 1–8. Citeseer (2011)López García, Á., Fernández-del Castillo, E.: Analysis of scientific cloud computing requirements. In: Proceedings of the IBERGRID 2013 Conference, p 147 158 (2013)López García, Á., Fernández-del Castillo, E., Orviz Fernández, P.: Standards for enabling heterogeneous IaaS cloud federations. Comput. Standard Inter. 47, 19–23 (2016). https://doi.org/10.1016/j.csi.2016.02.002López García, Á., Zangrando, L., Sgaravatto, M., Llorens, V., Vallero, S., Zaccolo, V., Bagnasco, S., Taneja, S., Pra, S.D., Salomoni, D., Donvito G.: Improved cloud resource allocation: how INDIGO-datacloud is overcoming the current limitations in cloud schedulers. arXiv: 1707.06403 (2017)Lorido-Botran, T., Miguel-Alonso, J., Lozano, J.A.: A review of auto-scaling techniques for elastic applications in cloud environments. J Grid Comput. 12(4), 559–592 (2014). https://doi.org/10.1007/s10723-014-9314-7Marathon: Marathon. https://mesosphere.github.io/marathon/ (2017)Metsch, T., Edmonds, A.: Open Cloud Computing Interface-Infrastructure. Tech. rep., Open Grid Forum (2010)Metsch, T., Edmonds, A.: Open Cloud Computing Interface-RESTful HTTP Rendering. 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Rootless containers with udocker

Trabajo presentado al ISC High Performance, celebrado en Frankfurt (Alemania) del 16 al 20 de junio de 2019.This work was developed with the support of the H2020 projects: INDIGO-DataCloud (RIA 653549), DEEP-Hybrid-DataCloud, (RIA 777435), EOSC-hub (RIA 777536). This work was developed with the support of the Portuguese Foundation for Science and Technology under the project: Infraestrutura Nacional de Computação Distribuída 01/SAICT/2016 - nº 0221

Enabling rootless Linux Containers in multi-user environments: the udockerudocker tool

Containers are increasingly used as means to distribute and run Linux services and applications. In this paper we describe the architectural design and implementation of udocker , a tool which enables the user to execute Linux containers in user mode. We also present a few practical applications, using a range of scientific codes characterized by different requirements: from single core execution to MPI parallel execution and execution on GPGPUs.Peer Reviewe

Software Provision Process for EGI

he European Grid Initiative (EGI) provides a sustainable pan-European Grid computing infrastructure for e-Science based on a network of regional and national Grids. The middleware driving this production infrastructure is constantly adapted to the changing needs of the EGI Community by deploying new features and phasing out other features and components that are no longer needed. Unlike previous e-Infrastructure projects, EGI does not develop its own middleware solution, but instead sources the required components from Technology Providers and integrates them in the Unified Middleware Distribution (UMD). In order to guarantee a high quality and reliable operation of the infrastructure, all UMD software must undergo a release process that covers the definition of the functional, performance and quality requirements, the verification of those requirements and testing in production environments

Fostering Multi-Scientific Usage in the Iberian Production Infrastructure

In this article we present the strategies foreseen to foster the usage of the Iberian production infrastructure by regional scientific communities. The main focus is on describing the user support mechanisms implemented through a cooperative effort from the Portuguese and Spanish user support teams, and on the services and tools offered to the regional user communities for their use and customization, to foster VO production user activity within the Iberian region