多核键值存储

Mateusz Berezecki, E. Frachtenberg, Mike Paleczny, K. Steele
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引用次数: 92

摘要

扩展数据中心以处理任务并行的工作负载需要平衡硬件、操作和电源的成本。低功耗、低核数的服务器在这些方面中的一个方面降低了成本,但可能需要额外的节点来提供所需的服务质量,或者由于内存和其他资源利用率不足而增加成本。我们展示了在低时钟速率和极低功耗下运行的高核数处理器的吞吐量、响应时间和功耗,与使用更快但较少商用核的平台相比,可以表现良好。对键值存储Memcached进行了具体的测量,使用基于三种不同处理器的各种系统:4核Intel Xeon L5520、8核AMD Opteron 6128 HE和64核Tilera tile64。
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Many-core key-value store
Scaling data centers to handle task-parallel work-loads requires balancing the cost of hardware, operations, and power. Low-power, low-core-count servers reduce costs in one of these dimensions, but may require additional nodes to provide the required quality of service or increase costs by under-utilizing memory and other resources. We show that the throughput, response time, and power consumption of a high-core-count processor operating at a low clock rate and very low power consumption can perform well when compared to a platform using faster but fewer commodity cores. Specific measurements are made for a key-value store, Memcached, using a variety of systems based on three different processors: the 4-core Intel Xeon L5520, 8-core AMD Opteron 6128 HE, and 64-core Tilera TILEPro64.
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