Ocean Shipping Container Availability Report 10-10-2012

Marathon, Nick

doi:10.9752/ts058.1-2012

Cited by 1 publication

(2 citation statements)

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“…3), the Invenio components were automatically deployed using our system. The Invenio components are executed as long-running services on top of an Apache Mesos cluster through its framework, Marathon [8], to ensure fault tolerance and scalability. Apache Mesos [5][6] is a cluster manager that provides efficient resource usage, fault tolerance, high-availability and scalability.…”

Section: Managed Services Through Marathon and Apache Mesosmentioning

confidence: 99%

“…Apache Mesos [5][6] is a cluster manager that provides efficient resource usage, fault tolerance, high-availability and scalability. Marathon [8], a container orchestration framework that runs on top of Mesos, ensures that the dockerized services are always up and running. We have developed a set of Ansible [9] roles that allow the automatic deployment of a productionready Mesos cluster consisting of a set of master nodes (the leader election is managed by ZooKeeper [10]) that coordinate the work of a set of slave nodes that are in charge of executing the tasks.…”

Section: Managed Services Through Marathon and Apache Mesosmentioning

confidence: 99%

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Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos

et al. 2019

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In the framework of the H2020 INDIGO-DataCloud project, we have implemented an advanced solution for the automatic deployment of digital data repositories based on Invenio, the digital library framework developed by CERN. Exploiting cutting-edge technologies, such as Docker and Apache Mesos, and standard specifications to describe application architectures such as TOSCA, we are able to provide a service that simplifies the process of creating and managing repositories of various digital assets using cloud resources. An Invenio-based repository consists of a set of services (e.g. database, message queue, cache, workers and frontend) that need to be properly installed, configured and linked together. These operations, along with the provisioning of the resources and their monitoring and maintenance, can be challenging for individual researchers or small-to-moderate-sized research groups. To this purpose, the INDIGO-DataCloud platform provides advanced features for orchestrating the deployment of complex virtual infrastructures on distributed cloud environments: it is able to provision the required resources automatically over heterogeneous and/or hybrid cloud infrastructures and to configure them automatically ensuring dynamic elasticity and resilience. This approach has been successfully adapted to support the needs of the researchers and scholars in the domain of the Digital Arts and Humanities.

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Section: Managed Services Through Marathon and Apache Mesosmentioning

confidence: 99%

Section: Managed Services Through Marathon and Apache Mesosmentioning

confidence: 99%