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

CSR：小：协作研究：绿色云的混合机会计算马晓松(PI)和顾晓慧(共同-PI)、NCSU(领头羊)吴春峰(PI)、弗吉尼亚理工大学摘要按需，面向服务的云计算基础架构在组织中越来越受欢迎。有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残渣资源有待开发。其次，将次要后台工作负载承载到前台工作负载以利用这些剩余资源的“增量功率使用”相对较低。第三，GPGPU(通用GPU)处理的进步使得并发工作负载能够实现一种新的耦合。该项目将探索一种新的计算模式，在服务于按需效用计算用户的主动节点上提供云服务。我们计划(1)评估前台和后台负载之间的资源共享效率，并调查它们的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，在考虑能量-性能权衡的情况下执行动态后台负载分配；(3)在主要在CPU上运行前台负载的主动节点上，利用GPGPU提供云服务。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更环保的云的规划。这项研究将与NCSU面向教育的云平台紧密结合。PIS还将利用其已建立的服务和关系，增加妇女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。

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.