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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...
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.
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.
Photometric and spectral observations of the variable star HR Aurigae are presented. Based on these data we conclude that this star, previously regarded as a type II Cepheid, is, in fact, an active binary.
Over the course of the project, the project's software releases have been evaluated against identified requirements and against the needs of real users. Most of the formal requirements have been satisfied, with work in the second year concentrating on extentions to commercial applications, multi-platform support and sandboxing. Feedback from applications running on the StratusLab cloud can be grouped into four broad categories: Ease of Use, Integration & Operation, Better Informaton Flow, and High-Level Services. These categories provide a broad roadmap for the evolution of the StratusLab cloud distribution past the end of the project.
Grids 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 f...
In the 70s, the transition from batch systems to interactive computing fueled the widespread diffusion of advances in integrated circuit technology. Grids are facing a similar challenge, namely the seamless integration of the grid power into everyday use. One critical component for this integration is responsiveness, the capacity to support on-demand computing and interactivity. A large contributor to responsiveness is the Quality of Service (QoS) for the job execution time. Grid scheduling is involved at two levels in order to provide QoS: the policy level and the implementation level. The main contributions of this paper are as follows. First, we present a detailed analysis of the performance of the EGEE grid with respect to responsiveness. Second, we define and demonstrate a virtualization scheme, which achieves QoS, schedulability ...
Grids are facing the challenge of moving from batch systems to interactive computing. In the 70s, standalone computer systems have met this challenge, and this was the starting point of pervasive computing. Meeting this challenge will allow grids to be the infrastructure for ambient intelligence and ubiquitous computing. This paper shows that EGEE, the largest world grid, does not yet provide the services required for interactive computing, but that it is amenable to this evolution through relatively modest middleware evolution. A case study on medical image analysis exemplifies the particular needs of ultra-short jobs.
This document presents the features implemented for the automatic deployment and dynamic provision of grid services, and for the scalable cloud-like management of grid site resources in the second year of the project. These features, developed largely in Work Package 6 (WP6), are integrated into the StratusLab Toolkit by Work Package 4 (WP4).
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.
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