Periodic Report (PR1)

Comprehensive report of the first year of the StratusLab project

Quarterly Report (QR4)

In the fourth quarter, two beta releases of the StratusLab cloud distribution were made and deployed on the project's reference cloud infrastructure. The v1.0 production release is expected just after the close of Q4 due to the scheduling of the project's development sprints. The project continues to operate a production grid service over the StratusLab cloud distribution, demonstrating its functionality and stability. The project has also demonstrated the deployment of a grid site with the Claudia service manager with some autoscaling features

Quarterly Report (QR2)

In the second quarter, the project has successfully created the first public release of the StratusLab cloud distribution. To complement the release, the project participants have provided user support, deployed a reference infrastructure for outside users, and increased awareness of the release and the project. High-level features, including advanced service management features, have been defined and will be progressively added to the series of public releases leading to the v1.0 release due at the end of the first year

Intermediate QoS Prototype for the EDGI Infrastructure

This document provides the first deliverable of EDGI JRA2. It is produced by the INRIA team, the SZTAKI team, the LAL/IN2P3 team and the University of Coimbra team. This document aims at describing achievements and results of JRA2 tasks "Advanced QoS Scheduler and Oracle" and "Support In Science Gateway". Hybrid Distributed Computing Infrastructures (DCIs) allow users to combine Grids, Desktop Grids, Clouds, etc. to obtain for their users large computing capabilities. The EDGI infrastructure belongs to this kind of DCIs. The document presents the SpeQuloS framework to provide quality of service (QoS) for application executed on the EDGI infrastructure. It also introduces EDGI QoS portal, an user-friendly and integrated access to QoS features for users of EDGI infrastructure. In this document, we first introduce new results from JRA2.1 task, which collected and analyzed batch execution on Desktop Grid. Then, we present the advanced Cloud Scheduling and Oracle strategies designed inside the SpeQuloS framework (task JRA2.2). We demonstrate efficiency of these strategies using performance evaluation carried out with simulations. Next, we introduce Credit System architecture and QoS user portal as part of the JRA2 Support In Science Gateway (task JRA2.3). Finally, we conclude and provide references to JRA2 production.Ce document fournit le premier livrable pour la tâche JRA2 du projet européen European Desktop Grid Initiative (FP7 EDGI). Il est produit par les équipes de l'INRIA, de SZTAKI, du LAL/IN2P3 et de l'Université de Coimbra. Ce document vise à décrire les réalisations et les résultats qui concernent la qualité de service pour l'infrastructure de grilles de PCs européenne EDGI

Infrastructure Operations Final Report

This document serves as a final report of the activities and achievements of WP5 throughout the whole duration of the project. The document covers the areas of infrastructure operation, service provisioning, support, testing and benchmarking. In addition, the document provides a record of the practical knowledge accumulated during the provision of various public cloud services over a period of almost two years

Multi-criteria and satisfaction oriented scheduling for hybrid distributed computing infrastructures

International audienceAssembling and simultaneously using different types of distributed computing infrastructures (DCI) like Grids and Clouds is an increasingly common situation. Because infrastructures are characterized by different attributes such as price, performance, trust, greenness, the task scheduling problem becomes more complex and challenging. In this paper we present the design for a fault-tolerant and trust-aware scheduler, which allows to execute Bag-of-Tasks applications on elastic and hybrid DCI, following user-defined scheduling strategies. Our approach, named Promethee scheduler, combines a pull-based scheduler with multi-criteria Promethee decision making algorithm. Because multi-criteria scheduling leads to the multiplication of the possible scheduling strategies, we propose SOFT, a methodology that allows to find the optimal scheduling strategies given a set of application requirements. The validation of this method is performed with a simulator that fully implements the Promethee scheduler and recreates an hybrid DCI environment including Internet Desktop Grid, Cloud and Best Effort Grid based on real failure traces. A set of experiments shows that the Promethee scheduler is able to maximize user satisfaction expressed accordingly to three distinct criteria: price, expected completion time and trust, while maximizing the infrastructure useful employment from the resources owner point of view. Finally, we present an optimization which bounds the computation time of the Promethee algorithm, making realistic the possible integration of the scheduler to a wide range of resource management software

Quarterly Report (QR3)

In the third quarter, the project has built on the first public release (v0.1), providing additional functionality leading up to the 1.0 production release expected at the end of Q4. An additional public, preview release (v0.2) was produced and a subsequent release (v0.3) is expected just after the close of Q3. The releases are progressing well, with v0.3 expected to be nearly feature-complete, lacking only storage functionalities. The project is well-positioned to release the StratusLab v1.0 distribution at PM12 with the complete set of expected features