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 |
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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 | |
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 |
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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