مورد إلكتروني
Stateless CPU-aware datacenter load-balancing
| العنوان: | Stateless CPU-aware datacenter load-balancing |
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| بيانات النشر: | KTH, Network Systems Laboratory (NS Lab) KTH, Kommunikationssystem, CoS Association for Computing Machinery (ACM) 2020 |
| تفاصيل مُضافة: | Barbette, Tom Chiesa, Marco Maguire Jr., Gerald Q. Kostic, Dejan |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Today, datacenter operators deploy Load-balancers (LBs) to efficiently utilize server resources, but must over-provision server resources (by up to 30%) because of load imbalances and the desire to bound tail service latency. We posit one of the reasons for these imbalances is the lack of per-core load statistics in existing LBs. As a first step, we designed CrossRSS, a CPU core-aware LB that dynamically assigns incoming connections to the least loaded cores in the server pool. CrossRSS leverages knowledge of the dispatching by each server's Network Interface Card (NIC) to specific cores to reduce imbalances by more than an order of magnitude compared to existing LBs in a proof-of-concept datacenter environment, processing 12% more packets with the same number of cores. QC 20210824 |
| مصطلحات الفهرس: | networking, load-balancing, packet scheduling, high-speed networking, intra-server load-balancing, receive side scaling, network function virtualization, RSS++, Computer Systems, Datorsystem, Communication Systems, Kommunikationssystem, Conference paper, info:eu-repo/semantics/conferenceObject, text |
| DOI: | 10.1145.3386367.3431672 |
| URL: | CoNEXT '20 Poster: Stateless CPU-aware datacenter load-balancing, p. 548-549 |
| الإتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| ملاحظة: | application/pdf English |
| أرقام أخرى: | UPE oai:DiVA.org:kth-286811 0000-0003-1269-2190 0000-0002-9675-9729 0000-0002-6066-746X 0000-0002-1256-1070 doi:10.1145/3386367.3431672 Scopus 2-s2.0-85097602615 1235093934 |
| المصدر المساهم: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1235093934 |
| قاعدة البيانات: | OAIster |
| DOI: | 10.1145.3386367.3431672 |
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