Workload Scheduling For Massive Storage Systems With Arbitrary Renewable Supply

Keywords

Renewable energy; SSD cache; storage system

Abstract

As datacenters grow in scale, increasing energy costs and carbon emissions have led data centers to seek renewable energy, such as wind and solar energy. However, tackling the challenges associated with the intermittency and variability of renewable energy is difficult. This paper proposes a scheme called GreenMatch, which deploys an SSD cache to match green energy supplies with a time-shifting workload schedule while maintaining low latency for online data-intensive services. With the SSD cache, the process for a latency-sensitive request to access a disk is divided into two stages: a low-energy/low-latency online stage and a high-energy/high-latency off-line stage. As the process in the latter stage is off-line, it offers opportunities for time-shifting workload scheduling in response to variations of green energy supplies. We also allocate an HDD cache to guarantee data availability when renewable energy is inadequate. Furthermore, we design a novel replacement policy called Inactive P-disk First for the HDD cache to avoid inactive disk accesses. The experimental results show that GreenMatch can make full use of renewable energy while minimizing the negative impacts of intermittency and variability on performance and availability.

Publication Date

10-1-2018

Publication Title

IEEE Transactions on Parallel and Distributed Systems

Volume

29

Issue

10

Number of Pages

2373-2387

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TPDS.2018.2820070

Socpus ID

85044866478 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85044866478

This document is currently not available here.

Share

COinS