Campus Units

Electrical and Computer Engineering

Document Type

Conference Proceeding

Conference

Future of Information and Communication Conference 2019

Publication Version

Accepted Manuscript

Link to Published Version

https://doi.org/10.1007/978-3-030-12388-8_48

Publication Date

2-2-2019

Journal or Book Title

Advances in Information and Communication

Volume

69

First Page

683

Last Page

707

DOI

10.1007/978-3-030-12388-8_48

Conference Title

Future of Information and Communication Conference 2019

Conference Date

March 14-15, 2019

City

San Francisco, CA

Abstract

We design and develop LDM, a novel data management solution to cater the needs of applications exhibiting the lineage property, i.e. in which the current writes are future reads. In such a class of applications, slow writes significantly hurt the over-all performance of jobs, i.e. current writes determine the fate of next reads. We believe that in a large scale shared production cluster, the issues associated due to data management can be mitigated at a way higher layer in the hierarchy of the I/O path, even before requests to data access are made. Contrary to the current solutions to data management which are mostly reactive and/or based on heuristics, LDM is both deterministic and pro-active. We develop block-graphs, which enable LDM to capture the complete time-based data-task dependency associations, therefore use it to perform life-cycle management through tiering of data blocks. LDM amalgamates the information from the entire data center ecosystem, right from the application code, to file system mappings, the compute and storage devices topology, etc. to make oracle-like deterministic data management decisions. With trace-driven experiments, LDM is able to achieve 29–52% reduction in over-all data center workload execution time. Moreover, by deploying LDM with extensive pre-processing creates efficient data consumption pipelines, which also reduces write and read delays significantly.

Comments

This is a post-peer-review, pre-copyedit version of a conference proceeding published as Mishra, Pratik and Arun K. Somani. (2020) "LDM: Lineage-Aware Data Management in Multi-tier Storage Systems." In Arai K., Bhatia R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol. 69. Springer, Cham. The final authenticated version is available online at DOI: 10.1007/978-3-030-12388-8_48. Posted with permission.

Copyright Owner

Springer Nature Switzerland AG

Language

en

File Format

application/pdf

Available for download on Sunday, February 02, 2020

Published Version

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