Workshop on Federating Computational Resources

研究人员和生产系统架构师越来越需要联合收割机来自多个来源的计算、存储和网络资源（例如，组织？自己的资源，自己的伙伴？资源、商业和学术云、可编程网络基板）。各种专有和实验性系统已经迈出了第一步，以证明这种联合的潜在有效性，但对安全性，互操作性和管理的重大关切仍然存在。在许多方面，这种情况类似于新兴网络在互联网诞生之初所面临的情况。合并似乎是肯定的，但缺乏正确的架构框架，新模型必须与快速增长的不兼容生产系统的基础相抗衡。在此背景下，本次研讨会的重点是将多个自治组织的资源整合到一个无缝/无处不在的资源库中，从而为用户提供标准接口，以访问他们所需的广泛分布和多样化的资源集合。该研讨会汇集了领先的网络研究人员和网络研究基础设施开发人员，讨论联邦（联合收割机）计算，存储和来自多个来源的网络资源的细节。研讨会的概念来自GENI和FIRE倡议中的多次讨论，以建立联合网络测试床。该研讨会希望就自治组织将其资源联合到无缝/无处不在的资源库中意味着什么达成共识。

There is increasing demand among researchers and production system architects to combine (federate) compute, storage, and network resources from multiple sources (e.g., the organization?s own resources, their partners? resources, commercial and academic clouds, programmable network substrates). Various proprietary and experimental systems have taken the first steps to demonstrate the potential effectiveness of such federations, but substantial concerns remain about security, interoperability and management. In many ways, the situation resembles what emerging networks faced at the dawn of the Internet. Consolidation seems certain, but there is a lack the right architectural framework, where new models must contend with a quickly growing base of incompatible production systems. Against this backdrop, this workshop focuses on issues related to federating resources from multiple autonomous organizations into a seamless/ubiquitous resource pool, thereby giving users standard interfaces for accessing the widely distributed and diverse collection of resources they need. This workshop brings together leading network researchers and network research infrastructure developers to discuss specifics of federate (combine) compute, storage, and network resources from multiple sources. The concept for the workshop follows from multiple discussions in the GENI and FIRE initiatives to build federated network test-beds. The workshop expects to develop a common understanding of what it means for autonomous organizations to federate their resources into a seamless/ubiquitous resource pool.