ALPACA: Application Performance Aware Server Power Capping

被引:5
|
作者
Krzywda, Jakub [1 ]
Ali-Eldin, Ahmed [1 ,2 ]
Wadbro, Eddie [1 ]
Ostberg, Per-Olov [1 ]
Elmroth, Erik [1 ]
机构
[1] Umea Univ, Dept Comp Sci, SE-90187 Umea, Sweden
[2] Univ Massachusetts, Coll Informat & Comp Sci, Amherst, MA 01003 USA
基金
瑞典研究理事会;
关键词
MANAGEMENT; DVFS; CPU;
D O I
10.1109/ICAC.2018.00014
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Server power capping limits the power consumption of a server to not exceed a specific power budget. This allows data center operators to reduce the peak power consumption at the cost of performance degradation of hosted applications. Previous work on server power capping rarely considers Quality-of-Service (QoS) requirements of consolidated services when enforcing the power budget. In this paper, we introduce ALPACA, a framework to reduce QoS violations and overall application performance degradation for consolidated services. ALPACA reduces unnecessary high power consumption when there is no performance gain, and divides the power among the running services in a way that reduces the overall QoS degradation when the power is scarce. We evaluate ALPACA using four applications: MediaWiki, SysBench, Sock Shop, and CloudSuite's Web Search benchmark. Our experiments show that ALPACA reduces the operational costs of QoS penalties and electricity by up to 40% compared to a non optimized system.
引用
收藏
页码:41 / 50
页数:10
相关论文
共 50 条
  • [21] QoR-Aware Power Capping for Approximate Big Data Processing
    Nabavinejad, Seyed Morteza
    Zhan, Xin
    Azimi, Reza
    Goudarzi, Maziar
    Reda, Sherief
    PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2018, : 253 - 256
  • [22] Power-aware Server Selection in Nano Data Center
    Sheikh, Fareha
    Fazal, Habiba
    Taqvi, Fatima
    Shamsi, Jawwad
    2015 IEEE 40TH LOCAL COMPUTER NETWORKS CONFERENCE WORKSHOPS (LCN WORKSHOPS), 2015, : 776 - 782
  • [23] Power Capping in High Performance Computing Systems
    Borghesi, Andrea
    Collina, Francesca
    Lombardi, Michele
    Milano, Michela
    Benini, Luca
    PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING, CP 2015, 2015, 9255 : 524 - 540
  • [24] Power Supply Efficiency Aware Server Allocation in Data Centers
    Panda, Preeti Ranjan
    Jain, Manoj
    Verma, Anubha
    Sarma, Dipankar
    Srinivasan, Vaidyanathan
    2013 26TH INTERNATIONAL CONFERENCE ON VLSI DESIGN AND 2013 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS (VLSID), 2013, : 233 - 238
  • [25] On power capping and performance optimization of multithreaded applications
    Conoci, Stefano
    Di Sanzo, Pierangelo
    Pellegrini, Alessandro
    Ciciani, Bruno
    Quaglia, Francesco
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (13):
  • [26] Dynamic server allocation for power and performance
    Slegers, Joris
    Thomas, Nigel
    Mitrani, Isi
    PERFORMANCE EVALUATION: METRICS, MODELS AND BENCHMARKS, PROCEEDINGS, 2008, 5119 : 247 - 261
  • [27] Performance tuning for application server OnceAS
    Zhang, Wenbo
    Yang, Bo
    Jin, Beihong
    Chen, Ningjing
    Huang, Tao
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3358 : 451 - 462
  • [28] Performance tuning for application server OnceAS
    Zhang, WB
    Yang, B
    Jin, BH
    Chen, NJ
    Huang, T
    PARALLEL AND DISTRIBUTED PROCESSING AND APPLICATIONS, PROCEEDINGS, 2004, 3358 : 451 - 462
  • [29] Network Performance of the JBoss Application Server
    Benothman, Nabil
    Clere, Jean-Frederic
    Schiller, Eryk
    Kropf, Peter
    Maucherat, Remy
    PROCEEDINGS OF THE 2013 38TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2013), 2013, : 739 - +
  • [30] Real-time Optimization of Power and Performance for Application Server Clusters Based on MILP
    Xiong Z.
    Zhao M.
    Cai H.
    Zhu C.
    Xu J.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2023, 50 (08): : 153 - 164