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

CSR：小型：协作研究：面向绿色云的混合并行计算Ma（PI）和Helen Gu（共同PI），NCSU（牵头研究所）Wuchun Feng（PI），Virginia技术摘要按需、面向服务的云计算基础设施在组织中的普及程度不断提高。 三个观察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被利用。第二，将辅助后台工作负载搭载到前台工作负载上以利用那些剩余资源的“增量功率使用”相对较低。第三，GPGPU（General-Purpose GPU，通用GPU）处理技术的进步，实现了新的并发负载耦合。本项目将探索一种新的计算模式，在主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的资源共享的效率，并调查它们的资源使用模式与它们的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，该中间件执行动态后台工作负载分配，考虑能量-性能折衷;以及（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创建计划更绿的云该研究将与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，增加女性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.