Parallelization of tree-to-TLV serialization

Makoto Nakayama; Kenichi Yamazaki; Satoshi Tanaka; Hironori Kasahara

doi:10.1109/PCCC.2014.7017059

Parallelization of tree-to-TLV serialization

Makoto Nakayama, Kenichi Yamazaki, Satoshi Tanaka, Hironori Kasahara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

A serializer/deserializer (SerDe) is necessary to serialize a data object into a byte array and to deserialize in reverse direction. A SerDe that is used worldwide and runs quickly is the Protocol Buffer (ProtoBuf), which serializes a tree-structured data object into the Type-Length-Value (TLV) format. Acceleration of SerDe processing is beneficial because SerDes are used in various fields. This paper proposes a new method that accelerates the tree-to-TLV serialization through 2-way parallel processing called "parallelized serialization" and "parallelization with streaming". Experimental results show that parallelized serialization with 4 worker threads achieves a 1.97 fold shorter serialization time than when using a single worker thread, and the combination of 2-way parallel processing achieves a 2.11 fold shorter output time than that for ProtoBuf when 4 worker threads, File Output Stream and trees of 10,080 container nodes are used.

Original language	English
Title of host publication	2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Volume	2014-January
ISBN (Electronic)	9781479975754
DOIs	https://doi.org/10.1109/PCCC.2014.7017059
Publication status	Published - 2015 Jan 20
Event	33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 - Austin, United States Duration: 2014 Dec 5 → 2014 Dec 7

Other

Other	33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014
Country/Territory	United States
City	Austin
Period	14/12/5 → 14/12/7

Keywords

Multi-Core
Parallel Processing
Serialization

ASJC Scopus subject areas

Software
Computational Theory and Mathematics
Computer Networks and Communications

Access to Document

10.1109/PCCC.2014.7017059

Cite this

Parallelization of tree-to-TLV serialization. / Nakayama, Makoto; Yamazaki, Kenichi; Tanaka, Satoshi; Kasahara, Hironori.

2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014. Vol. 2014-January Institute of Electrical and Electronics Engineers Inc., 2015. 7017059.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakayama, M, Yamazaki, K, Tanaka, S & Kasahara, H 2015, Parallelization of tree-to-TLV serialization. in 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014. vol. 2014-January, 7017059, Institute of Electrical and Electronics Engineers Inc., 33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014, Austin, United States, 14/12/5. https://doi.org/10.1109/PCCC.2014.7017059

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Y1 - 2015/1/20

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AB - A serializer/deserializer (SerDe) is necessary to serialize a data object into a byte array and to deserialize in reverse direction. A SerDe that is used worldwide and runs quickly is the Protocol Buffer (ProtoBuf), which serializes a tree-structured data object into the Type-Length-Value (TLV) format. Acceleration of SerDe processing is beneficial because SerDes are used in various fields. This paper proposes a new method that accelerates the tree-to-TLV serialization through 2-way parallel processing called "parallelized serialization" and "parallelization with streaming". Experimental results show that parallelized serialization with 4 worker threads achieves a 1.97 fold shorter serialization time than when using a single worker thread, and the combination of 2-way parallel processing achieves a 2.11 fold shorter output time than that for ProtoBuf when 4 worker threads, File Output Stream and trees of 10,080 container nodes are used.

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Parallelization of tree-to-TLV serialization

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Keywords

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