SHF: Small: Reliability Enhancement via Adaptive Checkpoingint in Wireless Grids

本研究旨在将现有的无线网状网络（WMNs）转变为高效可靠的计算平台，通过自适应检查点（REACT）创新地增强可靠性，从而产生无线网格（wig）。除了充当无处不在的通信的原始角色外，WiGs还可以极大地扩展有线网格，以支持快速增长的云应用程序。由于wig的独特特性，在其中实现有效的检查点是极具挑战性的，但也很有趣。这个REACT项目处理了三个技术挑战，它们共同构成了检查点管理器的基础，能够将wmn转化为有效的wig，以增强和补充有线网格。该项目有望推进wig有效检查点的技术理解和科学前沿。它还将大力改善路易斯安那大学在网格计算和无线系统方面的研究和教育活动，在该项目下建立的测试平台被认为是一项宝贵的资产。新的研究成果和技术，有效的检查点和无线通信性能的提高将纳入相关课程，帮助整合研究和教育，丰富教学，培训和学习经验，培养高素质的未来科学家对NSF的使命至关重要。未被充分代表的学生将积极参与该项目，利用已建立的REACT测试平台，并与资助的研究生研究助理合作，以激发他们的研究兴趣。

This research aims to turn existing wireless mesh networks (WMNs) into productive and reliable computing platforms, made possible innovatively by reliability enhancement via adaptive checkpointing (REACT) to yield wireless Grids (WiGs). WiGs can expand immensely the wired Grid in support of rapidly growing cloud applications, besides serving as their original role of ubiquitous communications. It is extremely challenging and yet interesting to realize effective checkpointing in WiGs, due to their unique characteristics. This REACT project deals with three technical challenges, which together constitute the basis of our Checkpoint Manager, able to render WMNs into productive WiGs for enhancing and complementing wired Grids.The project holds great promise to advance technical understanding and scientific frontiers of effective checkpointing in WiGs. It will also improve the research and educational activities on Grid computing and wireless systems strongly in the University of Louisiana, with the testbed established under this project deemed a valuable asset. New research findings and technologies for effective checkpointing and wireless communication performance enhancement will be incorporated into relevant courses, helping to integrate research and education for enriched teaching, training, and learning experience and to educate quality future scientists critical to the NSF mission. Underrepresented students will be recruited aggressively to participate in this project, taking advantage of the established REACT testbed and working collaboratively with funded graduate research assistants to stimulate their research interest.