Keynote: #x201C;High throughput computing data center#x201D;

摘要

Over the last few decades, data center (DC) technology has evolved from DC 1.0 (tightly-coupled silos) to DC 2.0 (computer virtualization) in order to enhance data processing capability. In the era of big data, highly diversified analytics applications stress data centers. The mounting requirements on throughput, resource utilization, manageability and energy efficiency demand seamless integration of heterogeneous system resources to adapt to varied big data applications, for which DC 2.0 does not sufficient. By rethinking the challenges of big data applications, Huawei proposes High Throughput Computing Data Center architecture (HTC-DC) toward the design of DC 3.0. HTC-DC features resource disaggregation via unified interconnection. It offers PB-level data processing capability, intelligent manageability, high scalability and high energy efficiency, hence a promising candidate for DC 3.0.