Performance increase of in-memory data grids by using software transactional memory
DOI:
https://doi.org/10.15587/1729-4061.2015.48241Keywords:
data grid, in-memory grid, transactional memory, software transactional memory. ReferencesAbstract
The aim of the paper is to study the possibility of performance increase of in-memory data grids (IMDG) by using software transactional memory. In the present study, the problems of determining the IMDG performance under the refusal of the locking mechanism and use of local and distributed transactional memory were solved. Studies were conducted in the absence of redundancy, and in the triple replication of the data stored. The operational features of the software transactional memory under a constantly loaded in-memory data grid were determined. It is shown that using software transactional memory and reducing the size of transactions allows to achieve performance gains of in-memory data grids of 13 % - 48 %. The proposed method is applicable for grids, combining background data recording in the grid and frequent reading operations (such as data grids for business intelligence, TV Guide data grids, etc.).References
- Williams, J. W., Aggour, K. S., Interrante, J., McHugh, J., Pool, E. (2014). Bridging high velocity and high volume industrial big data through distributed in-memory storage & analytics. 2014 IEEE International Conference on Big Data (Big Data), 932–941. doi: 10.1109/bigdata.2014.7004325
- Pritchett, D. (2008). Base: an acid alternative. Queue, 6 (3), 48–55. doi: 10.1145/1394127.1394128
- Lomet, D. B. (1977). Process structuring, synchronization, and recovery using atomic actions. Proceedings of the ACM Conference on Language Design for Reliable Software (Raleigh, NC), 128–137.
- Herlihy, M., Moss, J. E. B. (1993). Transactional memory: Architectural support for lock-free data structures. Proceedings of the 20th Annual International Symposium on Computer Architecture, 289–300. doi: 10.1109/isca.1993.698569
- Larus, J., Kozyrakis, C. (2008). Transactional memory. Communications of the ACM, 51 (7), 80. doi: 10.1145/1364782.1364800
- Grossman, D. (2007). The transactional memory / garbage collection analogy. In Proceedings of the ACM Conference on Object-Oriented Programming Systems, Languages, and Applications (Montreal, Canada), 695–706.
- Shavit, N., Touitou, D. (1995). Software transactional memory . In Proceedings of the 14th ACM Symposium on Principles of Distributed Computing (Ottawa, Canada), 204–213.
- Herlihy, M., Luchangco, V., Moir, M., Scherer III, W. N. (2003). Software transactional memory for dynamic-sized data structures. In Proceedings of the twenty-second annual symposium on Principles of distributed computing - PODC '03, 92–101. doi: 10.1145/872035.872048
- Fraser, K., Harris, T. (2007). Concurrent programming without locks. ACM Transactions on Computer Systems, 25 (2), 5–51. doi: 10.1145/1233307.1233309
- Carvalho, N., Romano, P. (2011). A generic framework for replicated software transactional memories. 2011 IEEE 10th International Symposium on Network Computing and Applications, 271–274. doi: 10.1109/nca.2011.45
- Saad, M., Ravindran, B. (2011). HyFlow: a high performance distributed software transactional memory framework. Proceedings of the 20th international symposium on High performance distributed computing - HPDC '11, 265–266. doi: 10.1145/1996130.1996167
- Zhang, H., Chen, G., Ooi, B. C., Tan, K.-L., Zhang, M. (2015). In-Memory Big Data Management and Processing: A Survey. IEEE Transactions on Knowledge and Data Engineering, 27 (7), 1920–1948. doi: 10.1109/tkde.2015.2427795
- Fernandes, S. (2014). Strongly Consistent Transactions for Enterprise Applications. Using Software Transactional Memory to Improve Consistency and Performance of Read-Dominated Workload. Lisbon, 208.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Александр Александрович Подрубайло
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.