PCAP: Performance-Aware Power Capping for the Disk Drive in the Cloud

被引:0
|
作者
Khatib, Mohammed G. [1 ]
Bandic, Zvonimir [1 ]
机构
[1] WDC Res, San Jose, CA 95135 USA
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Power efficiency is pressing in today's cloud systems. Datacenter architects are responding with various strategies, including capping the power available to computing systems. Throttling bandwidth has been proposed to cap the power usage of the disk drive. This work revisits throttling and addresses its shortcomings. We show that, contrary to the common belief, the disk's power usage does not always increase as the disk's throughput increases. Furthermore, throttling unnecessarily sacrifices I/O response times by idling the disk. We propose a technique that resizes the queues of the disk to cap its power. Resizing queues not only imposes no delays on servicing requests, but also enables performance differentiation. We present the design and implementation of PCAP, an agile performance-aware power capping system for the disk drive. PCAP dynamically resizes the disk's queues to cap power. It operates in two performance-aware modes, throughput and tail-latency, making it viable for cloud systems with service-level differentiation. We evaluate PCAP for different workloads and disk drives. Our experiments show that PCAP reduces power by up to 22%. Further, under PCAP, 60% of the requests observe service times below 100 ms compared to just 10% under throttling. PCAP also reduces worst-case latency by 50% and increases throughput by 32% relative to throttling.
引用
收藏
页码:227 / 240
页数:14
相关论文
共 50 条
  • [31] Performance-aware workflow management for grid computing
    Spooner, DP
    Cao, J
    Jarvis, SA
    He, L
    Nudd, GR
    [J]. COMPUTER JOURNAL, 2005, 48 (03): : 347 - 357
  • [32] TCP Performance-aware HARQ with AMC Scheme
    Go, Kwang-Chun
    Kim, Jae-Hyun
    Choo, Sang-Min
    [J]. 2011 IEEE VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2011,
  • [33] E-eco: Performance-aware energy-efficient cloud data center orchestration
    Rossi, Fabio D.
    Xavier, Miguel G.
    De Rose, Cesar A. F.
    Calheiros, Rodrigo N.
    Buyya, Rajkumar
    [J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 78 : 83 - 96
  • [34] Optimized composition of performance-aware parallel components
    Kessler, C.
    Lowe, W.
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2012, 24 (05): : 481 - 498
  • [35] Power- and Performance-Aware Fine-Grained Reconfigurable Router Architecture for NoC
    Mondal, Hemanta Kumar
    Gade, Sri Harsha
    Kishore, Raghav
    Deb, Sujay
    [J]. 2015 SIXTH INTERNATIONAL GREEN COMPUTING CONFERENCE AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 2015,
  • [36] Contra: A Programmable System for Performance-aware Routing
    Hsu, Kuo-Feng
    Beckett, Ryan
    Chen, Ang
    Rexford, Jennifer
    Tammana, Praveen
    Walker, David
    [J]. PROCEEDINGS OF THE 17TH USENIX SYMPOSIUM ON NETWORKED SYSTEMS DESIGN AND IMPLEMENTATION, 2020, : 701 - 721
  • [37] Performance-Aware Corner Model for Design for Manufacturing
    Lin, Chung-Hsun
    Dunga, Mohan V.
    Lu, Darsen D.
    Niknejad, Ali M.
    Hu, Chenming
    [J]. IEEE TRANSACTIONS ON ELECTRON DEVICES, 2009, 56 (04) : 595 - 600
  • [38] VM performance-aware virtual machine migration method based on ant colony optimization in cloud environment
    Zhao, Hui
    Feng, Nanzhi
    Li, Jianhua
    Zhang, Guobin
    Wang, Jing
    Wang, Quan
    Wan, Bo
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2023, 176 : 17 - 27
  • [39] KubeHICE: Performance-aware Container Orchestration on Heterogeneous-ISA Architectures in Cloud-Edge Platforms
    Yang, Saqing
    Ren, Yi
    Zhang, Jianfeng
    Guan, Jianbo
    Li, Bao
    [J]. 19TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2021), 2021, : 81 - 91
  • [40] Performance-Aware Cost-Effective Resource Provisioning for Future Grid IoT-Cloud System
    Li, Weiling
    Liao, Kewen
    He, Qiang
    Xia, Yunni
    [J]. JOURNAL OF ENERGY ENGINEERING, 2019, 145 (05)