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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nakayama, Makoto Yamazaki, Kenichi Tanaka, Satoshi Kasahara, Hironori |
| Copyright Year | 2014 |
| Description | Author affiliation: College of Engineering and Design, Shibaura Institute of Technology, Japan (Yamazaki, Kenichi) || Research Laboratories, NTT DOCOMO, INC., Japan (Nakayama, Makoto; Tanaka, Satoshi) || Department of Computer Science and Engineering, Waseda University, Japan (Kasahara, Hironori) |
| 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, FileOutputStream and trees of 10,080 container nodes are used. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 491526 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479975754 |
| DOI | 10.1109/PCCC.2014.7017059 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Arrays Containers Instruction sets Acceleration Parallel processing Context Libraries Parallel Processing Serialization Multi-Core |
| Content Type | Text |
| Resource Type | Article |
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