Reducing Power Consumption during Server Maintenance on Edge Computing Infrastructures

被引:1
|
作者
Rubin, Felipe Pfeifer [1 ]
de Souza, Paulo Severo [1 ]
Ferreto, Tiago [1 ]
机构
[1] Pontificia Univ Catolica Rio Grande do Sul, Sch Technol, Porto Alegre, RS, Brazil
来源
38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023 | 2023年
关键词
Edge Computing; Maintenance; Power Consumption; Update; Infrastructure; CLOUD; CONSOLIDATION; ENERGY;
D O I
10.1145/3555776.3577739
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Edge servers must routinely undergo maintenance to ensure the environment's performance and security. During maintenance, applications hosted by outdated servers must be relocated to alternative servers to avoid downtime. In distributed edges with servers spread across large regions, ensuring that applications are not migrated to servers too far away from their users to avoid high latency hardens the maintenance planning. In addition, the limited power supply of edge sites restricts the list of suitable alternative hosts for the applications even further. Past work has focused on optimizing maintenance or increasing the power efficiency of edge computing infrastructures. However, no work addresses both objectives together. This paper presents Emma, a maintenance strategy that reduces power consumption during edge server maintenance without excessively extending maintenance time or increasing application latency. Experiments show that Emma can minimize power consumption during maintenance by up to 26.48% compared to strategies from the literature.
引用
收藏
页码:691 / 698
页数:8
相关论文
共 50 条
  • [21] Design and Implementation of CPPS and Edge Computing Architecture based on OPC UA Server
    Jo, Guejong
    Jang, Su-Hwan
    Jeong, Jongpil
    16TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2019),THE 14TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC-2019),THE 9TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY, 2019, 155 : 97 - 104
  • [22] An approach to reducing power consumption during delay test application
    Li, XW
    Li, HW
    Luo, ZY
    Min, YG
    2001 4TH INTERNATIONAL CONFERENCE ON ASIC PROCEEDINGS, 2001, : 620 - 623
  • [23] Inspecting the Performance of Low-Power Nodes during the Execution of Edge Computing Tasks
    Morabito, Roberto
    2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2017, : 148 - 153
  • [24] Power Estimation Models for Edge Computing Devices
    Kasioulis, Michalis
    Symeonides, Moysis
    Pallis, George
    Dikaiakos, Marios D.
    EURO-PAR 2023: PARALLEL PROCESSING WORKSHOPS, PT I, EURO-PAR 2023, 2024, 14351 : 257 - 269
  • [25] ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing
    Bose, Sumon Kumar
    Kar, Bapi
    Roy, Mohendra
    Gopalakrishnan, Pradeep Kumar
    Basu, Arindam
    24TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC 2019), 2019, : 597 - 602
  • [26] Ad-hoc Edge Cloud: A framework for dynamic creation of Edge computing infrastructures
    Juan Ferrer, Ana
    Manuel Marques, Joan
    Jorba, Josep
    2019 28TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND NETWORKS (ICCCN), 2019,
  • [27] An edge dns global server load balancing for load balancing in edge computing
    Herbert Raj P.
    Lecture Notes on Data Engineering and Communications Technologies, 2021, 66 : 735 - 742
  • [28] Server placement in mobile cloud computing: A comprehensive survey for edge computing, fog computing and cloudlet
    Asghari, Ali
    Sohrabi, Mohammad Karim
    COMPUTER SCIENCE REVIEW, 2024, 51
  • [29] Energy-Efficient Resource Provisioning Strategy for Reduced Power Consumption in Edge Computing
    Fang, Juan
    Chen, Yong
    Lu, Shuaibing
    APPLIED SCIENCES-BASEL, 2020, 10 (17):
  • [30] SDN-Managed Provisioning of Named Computing Services in Edge Infrastructures
    Amadeo, Marica
    Campolo, Claudia
    Ruggeri, Giuseppe
    Molinaro, Antonella
    Iera, Antonio
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2019, 16 (04): : 1464 - 1478