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

企业社会责任：小型：合作研究：绿色云的混合机会计算马晓松（PI）和顾晓慧（联合PI）， NCSU（牵头研究所）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在组织中越来越受欢迎。三个观察结果促使我们调查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，硬件并行度的快速增长留下了更多的剩余资源可供开发。其次，将次要后台工作负载负载到前台工作负载上以利用这些剩余资源的“增量功耗”相对较低。第三，GPGPU（通用GPU）处理的进步使并发工作负载的新耦合成为可能。该项目将探索一种新的计算模型，在活动节点上提供云服务，为按需效用计算用户提供服务。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，并调查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，实现动态后台工作负载分配；(3)利用gpgpu为主要在cpu上运行前台工作负载的活动节点上的云服务提供支持。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的未来资源配置和计划，以创建更绿色的云。该研究将与NCSU面向教育的云平台紧密结合。pi还将利用其已建立的服务和联系来增加妇女和少数民族学生的参与，并促进学生与行业合作伙伴的互动。

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.