CSR: Small: Collaborative Research: Hybrid Opportunistic Computing for Green Clouds

CSR：小型：协作研究：绿色云的混合机会计算

• 批准号: 0915861
• 负责人: Xiaohui Gu
• 金额: $ 32万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915861&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; Hybrid

CSR:Small:Collaborative Research: Hybrid Opportunistic Computing for Green CloudsXiaosong Ma (PI) and Xiaohui Helen Gu (co-PI), NCSU (lead institute)Wuchun Feng (PI), Virginia TechAbstractOn-demand, service-oriented cloud computing infrastructures continue to increase in popularity with organizations. Three observations motivate us to investigate running high-throughput, data-intensive tasks as background workloads on these cloud infrastructures. First, the rapid growth in hardware parallelism leaves more residue resources to be exploited. Second, the ``incremental power usage'' of piggybacking a secondary background workload onto the foreground workload to utilize those residue resources is relatively low. Third, the advances in GPGPU (General-Purpose GPU) processing enable a novel coupling of concurrent workloads.This project will explore a new computing model of offering cloud services on active nodes that are serving on-demand utility computing users. We plan to (1) assess the efficacy of resource sharing between foreground and background workloads and investigate the relationship between their resource usage patterns and the benefit and cost of their mixed execution; (2) develop scheduling and load management middleware that performs dynamic background workload distribution considering the energy-performance tradeoff; and (3) exploit the use of GPGPUs for cloud services on active nodes that are running foreground workloads mainly on the CPUs.Our research will explore a revolutionary change in the use of cloud computing and may influence their hosting organizations' future resource configuration and planning to create greener clouds. The research will be closely integrated with education-oriented cloud platforms at NCSU. The PIs will also leverage their established services and connections to increase the participation of women and minority students and to promote students' interactions with industry partners.

CSR：小型：协作研究：绿色云的混合机会计算马小松（PI）和谷晓辉（联合PI），北卡罗来纳州立大学（牵头机构）冯武春（PI），弗吉尼亚理工大学摘要按需、面向服务的云计算基础设施继续提高组织的知名度。 三个观察结果促使我们研究在这些云基础设施上运行高吞吐量、数据密集型任务作为后台工作负载。 首先，硬件并行性的快速增长留下了更多的剩余资源有待开发。其次，将辅助后台工作负载搭载到前台工作负载以利用这些剩余资源的“增量电力使用”相对较低。第三，GPGPU（通用GPU）处理的进步实现了并发工作负载的新颖耦合。该项目将探索一种新的计算模型，在为按需效用计算用户提供服务的活动节点上提供云服务。我们计划（1）评估前台和后台工作负载之间资源共享的有效性，并研究其资源使用模式与其混合执行的收益和成本之间的关系； （2）开发调度和负载管理中间件，考虑能源性能权衡，执行动态后台工作负载分配； (3) 在主要在 CPU 上运行前台工作负载的活动节点上利用 GPGPU 进行云服务。我们的研究将探索云计算使用的革命性变化，并可能影响其托管组织未来的资源配置和规划创造更绿色的云。该研究将与北卡罗来纳州立大学面向教育的云平台紧密结合。 PI 还将利用其现有的服务和联系来增加女性和少数族裔学生的参与，并促进学生与行业合作伙伴的互动。