Management Infrastructure and Metrics Definition

This document describes the project management bodies, the software develop- ment process, and the tools to support them. It also contains a description of the metrics that will be collected over the lifetime of the project to gauge progress

Review of the Use of Cloud and Virtualization Technologies in Grid Infrastructures

This document describes the efforts of the StratusLab project to better understand its target communities, to gauge their experience with cloud technologies, to validate the defined use cases, and to extract relevant requirements from the communities. In parallel, the exercise was used as a dissemination tool to inform people about existing software packages, to increase the awareness of StratusLab, and to expand the our contacts within our target communities. The project created, distributed, and analyzed two surveys to achieve these goals. They validate the defined use cases and provide detailed requirements. One identified, critical issue relates to system administrators' reluctance to allow users to run their own virtual machines on the infrastructure. The project must define the criteria to trust such images and provide sufficient sand-boxing to avoid threats to other machines and services

Report on the Detailed Evaluation of StratusLab Products

This document provides a detailed, internal evaluation of the StratusLab v1.0 cloud distribution, providing feedback and informing the roadmap for the second year of the project. This document has evaluated the distribution in three areas: 1) use cases defined in the continuous integration system, 2) requirements and recommendations identified from user and system administrator surveys conducted at the beginning of the project, and 3) scenarios and requirements from the EGI User VIrtualization Workshop. The document identifies areas in which to concentrate efforts in the future. Notably, it reinforces the focus of the work plan for the coming year on issues related to federation of cloud infrastructures

An Architectural Monograph on Port Towns of Penobscot Bay

Illustrations and discussion of the architecture of homes in Camden, Belfast, and Castine, Maine

Appliance Management for Federated Cloud Environments

International audienceCloud infrastructures provide compelling features for scientific and engineering applications. Federated clouds additionally promise improved scalability via access to a larger pool of resources and improved service availability through geographically distributed redundant servers. Effective use of federated clouds requires the creation of portable appliances and consistent appliance management techniques. The StratusLab Marketplace, a platform-agnostic appliance registry, facilitates appliance management in a federated environment. This paper describes the Marketplace design goals, implementation, and security concerns. It also covers the planned improvements based on our experience of running this service in production for more than two years

Operation of Site Running StratusLab toolkit v1.0

This document reports on one of the significant project milestones concerning the operation of a cloud site running StratusLab's cloud distribution (or toolkit). It is currently running v0.3 of the StratusLab distribution-a beta release of the upcoming 1.0 production release. In particular it presents the WP5 reference cloud service, the evolution of the service up to Month 10 of the project, and the way this service has been exploited to date. A major milestone regarding the exploitation has been the deployment of the first virtualized production grid site running on the project's reference cloud service

First Year Infrastructure Operations Report

This document summarizes the achievements of the infrastructure operations activity during the first year of the project. It describes the technical specifications of the infrastructure that has been put into operation, the process that was followed to establish it, the problems encountered and the various solutions that were applied. It also provides statistics about the usage of cloud resources and an assessment of their utilization

Multi-objective reinforcement learning for responsive grids

The original publication is available at www.springerlink.comInternational audienceGrids organize resource sharing, a fundamental requirement of large scientific collaborations. Seamless integration of grids into everyday use requires responsiveness, which can be provided by elastic Clouds, in the Infrastructure as a Service (IaaS) paradigm. This paper proposes a model-free resource provisioning strategy supporting both requirements. Provisioning is modeled as a continuous action-state space, multi-objective reinforcement learning (RL) problem, under realistic hypotheses; simple utility functions capture the high level goals of users, administrators, and shareholders. The model-free approach falls under the general program of autonomic computing, where the incremental learning of the value function associated with the RL model provides the so-called feedback loop. The RL model includes an approximation of the value function through an Echo State Network. Experimental validation on a real data-set from the EGEE grid shows that introducing a moderate level of elasticity is critical to ensure a high level of user satisfaction