CloudSocket: Smart grid platform for datacenters

Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Today's datacenters are equipped with diverse computing and storage devices for handling a myriad of data and normally consume a significant amount of electrical energy. This paper proposes a smart grid inspired methodology to monitor and profile the energy consumption of a datacenter, with the aim of providing information useful for reducing the peak power consumption of the datacenter. Our energy measurement platform is named CloudSocket, and each CloudSocket unit can measure the power consumption of an individual computing node and periodically transmit the measurement information wirelessly to the coordinator unit that can manage many Cloud-Sockets simultaneously. We tested our methodology with a 32-node grid system that runs Apache Spark for large-scale data analytics. Analyzing our experimental results reveals how and where the peak power of each node in the grid overlaps, providing opportunities for informative coordination of the computing components for overall power reduction.

Original languageEnglish
Title of host publicationProceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781509051427
Publication statusPublished - 2016 Nov 22
Event34th IEEE International Conference on Computer Design, ICCD 2016 - Scottsdale, United States
Duration: 2016 Oct 22016 Oct 5


Other34th IEEE International Conference on Computer Design, ICCD 2016
CountryUnited States

ASJC Scopus subject areas

  • Hardware and Architecture

Fingerprint Dive into the research topics of 'CloudSocket: Smart grid platform for datacenters'. Together they form a unique fingerprint.

Cite this