Air Option 1: Technology Translation - Network Deduplication for Smartphones and Tablets

该PFI：AIR技术翻译项目专注于翻译智能手机和平板电脑的高级网络重复数据删除（dedup）技术（称为Smart-Cache），以满足无线用户数量激增带来的对更好无线网络性能的日益增长的需求。翻译后的Smart-Cache解决方案包含一套将传统重复数据删除扩展到移动的环境的策略，并具有以下独特功能：（1）非对称缓存，允许重复数据消除目的地（dd-dst）向dd-src反馈其缓存的内容，否则重复数据消除源（dd-src）可能不知道这些内容。(2)PreActing，允许dd-dst在内容通过低成本网络访问连接时机会性地预取内容，使得当这样的内容实际上通过高成本网络访问时，成本可以最小化。这两种变化的研究贡献在于底层算法，这些算法是专门为处理移动的环境中存在的独特挑战而构建的。初步的基于跟踪的性能分析表明，智能缓存通过减少蜂窝网络上的流量消耗到85%到96%的调谐器显着提高了性能。非对称缓存本身显示了125%的对称caching.The项目通过开发一个可行的原型智能缓存解决方案，使一个重要的可信度差距，在商业化进程中的技术可能会被解决，以实现这一目标的改进。虽然有几种途径，生产智能缓存解决方案，我们选择建立一个原型，可以通过无线网络运营商和第三方解决方案提供商。在高层次上，我们建议建立以下：-智能缓存服务器：该项目涉及建立一个智能缓存服务器作为一个独立的网络设备，可以部署在无线运营商网络或第三方解决方案提供商的代理环境。构建这样的设备允许在目标环境中进行部署，而无需担心计算资源的可用性。虽然产品形式将是一个设备，但实现将完全是在Linux操作系统上运行的软件中。因此，如果需要，原型可以很容易地移植到目标环境中的虚拟机上。- 智能缓存客户端：该项目涉及为Android和iOS设备构建智能缓存客户端。这两个移动的平台目前在移动终端领域占据主导地位。虽然Windows移动的和黑莓RIM等操作系统是其他相关平台，在成功完成所提议的原型工作后，可以为这些其他平台开发或移植解决方案。该合作伙伴关系与格鲁吉亚技术风险实验室合作，为无线市场动态以及商业化和产品化的其他方面提供指导，因为它们涉及将智能高速缓存沿着一条可能导致竞争性商业现实的道路。智能高速缓存的潜在经济影响是深远的，这将有助于提高美国电信业的竞争力。无线服务提供商可以采用智能缓存来立即减少昂贵频谱的使用。或者，第三方解决方案提供商可以直接向最终用户提供智能缓存作为成本和性能优化服务。该项目还做出了以下更广泛的影响贡献：（i）工业：预计85%的企业知识工作者将在未来几年内拥有智能手机。智能缓存的工作将直接使广大企业受益，因为更好的移动的访问将提高员工的工作效率和客户参与度。(ii)学历：此外，我们看到的努力积极影响本科生和研究生水平的学生通过积极参与研究和教学。

This PFI: AIR Technology Translation project focuses on translating an advanced network deduplication (dedup) technology for smartphones and tablets, called Smart-Cache, to fill the ever increasing need for better wireless network performance driven by the explosion in the number of wireless users.The translated smart-cache solution consists of a suite of strategies to extend traditional dedup to mobile environments, and has the following unique features: (1) Asymmetric caching, which allows the dedup destination (dd-dst) to feedback to the dd-src the contents of its cache that otherwise might not be known to the dedup source (dd-src). (2) PreActing, that allows the dd-dst to opportunistically prefetch content when the latter is connected through a low-cost network access so that when such content is actually accessed through a high-cost network, the costs may be minimized. The research contributions of these two variations lie in the underlying algorithms that are purpose-built to handle the unique challenges present in mobile environments. Preliminary trace-based performance analysis shows that smart-cache significantly improves the performance by reducing traffic consumption over cellular networks to the tune of 85% to 96%. Asymmetric caching by itself shows an improvement of 125% over symmetric caching.The project accomplishes this goal by developing a viable prototype of the smart-cache solution so that an important credibility gap in the commercialization process for the technology may be addressed. While there are several avenues for productizing the smart-cache solution, we choose to build a prototype that could be adopted by both wireless network operators and third party solution providers. At a high level, we propose to build the following:- Smart-cache server: The project involves the building of a smart-cache server as a stand-alone network appliance that can be deployed within the wireless operators network or within a proxy environment of a third-party solutions provider. Building such an appliance allows for ready deployment in a target environment without concerns about the availability of computational resources. While the product form will be that of an appliance, the implementation will entirely be in software running on a Linux operating system. Hence, the prototype can easily be ported onto virtual machines in the target environment if necessary. - Smart-cache clients: The project involves the building of a smart-cache client for both Android and iOS devices. These two mobile platforms by far dominate the mobile device landscape today. While operating systems such as Windows Mobile and Blackberry RIM are other relevant platforms, solutions can later be developed or ported for these other platforms after the proposed prototyping effort is successfully accomplished.The partnership engages the Georgia Tech VentureLab to provide guidance in wireless market dynamics and other aspects of commercialization and productization as they pertain to the potential to translate smart-cache along a path that may result in a competitive commercial reality.The potential economic impact of smart-cache is profound, which will contribute to the U.S. competitiveness in telecommunication industry. A wireless service provider could adopt smart-cache to immediately reduce the usage of expensive spectrum. Alternatively, a third party solutions provider could offer smart-cache as a cost and performance optimization service directly to the end-user. The project also makes the following broader impact contributions: (i) Industry: 85% of enterprise knowledge workers are expected to have smartphones within the next few years. The work on smart-cache will directly benefit the broad swathe of enterprises as better mobile access will improve employee productivity and customer engagement. (ii) Education: In addition we see the effort positively impacting both undergraduate and graduate level students through aggressive involvement of the students in both research and teaching.