U. I. Minhas;M. Russell;S. Kaloutsakis;P. Barber;R. Woods;G. Georgakoudis;C. Gillan;D. S. Nikolopoulos;A. Bilas
{"title":"NanoStreams: A Microserver Architecture for Real-Time Analytics on Fast Data Streams","authors":"U. I. Minhas;M. Russell;S. Kaloutsakis;P. Barber;R. Woods;G. Georgakoudis;C. Gillan;D. S. Nikolopoulos;A. Bilas","doi":"10.1109/TMSCS.2017.2764087","DOIUrl":null,"url":null,"abstract":"Ever increasing power consumption has created great interest in energy-efficient microserver architectures but they lack the computational, networking, and storage power necessary to cope with real-time data analytics. We propose NanoStreams, an integrated architecture comprising an ARM-based microserver, coupled via a novel, low latency network interface, Nanowire, to an Analytics-on-Chip architecture implemented on Field Programmable Gate Array (FPGA) technology; the architecture comprises ARM cores for performing low latency transactional processing, integrated with programmable, energy efficient Nanocore processors for high-throughput streaming analytics. The paper outlines the complete system architecture, hardware level detail, compiler, network protocol, and programming environment. We present experiments from the financial services sector, comparing a state-of-the-art server based on Intel Sandy Bridge processors, an ARM based Calxeda ECS-1000 microserver and ODROID XU3 node, with the NanoStreams microserver architecture using an industrial workload. For end-to-end workload, the NanoStreams microserver achieves energy savings up to 10.7×, 5.87× and 5× compared to the Intel server, Calxeda microserver and ODROID node, respectively.","PeriodicalId":100643,"journal":{"name":"IEEE Transactions on Multi-Scale Computing Systems","volume":"4 3","pages":"396-409"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TMSCS.2017.2764087","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Multi-Scale Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/8071017/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Ever increasing power consumption has created great interest in energy-efficient microserver architectures but they lack the computational, networking, and storage power necessary to cope with real-time data analytics. We propose NanoStreams, an integrated architecture comprising an ARM-based microserver, coupled via a novel, low latency network interface, Nanowire, to an Analytics-on-Chip architecture implemented on Field Programmable Gate Array (FPGA) technology; the architecture comprises ARM cores for performing low latency transactional processing, integrated with programmable, energy efficient Nanocore processors for high-throughput streaming analytics. The paper outlines the complete system architecture, hardware level detail, compiler, network protocol, and programming environment. We present experiments from the financial services sector, comparing a state-of-the-art server based on Intel Sandy Bridge processors, an ARM based Calxeda ECS-1000 microserver and ODROID XU3 node, with the NanoStreams microserver architecture using an industrial workload. For end-to-end workload, the NanoStreams microserver achieves energy savings up to 10.7×, 5.87× and 5× compared to the Intel server, Calxeda microserver and ODROID node, respectively.