An adaptive switching scheme for iterative computing in the cloud-Reference-Cited by-同舟云学术

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An adaptive switching scheme for iterative computing in the cloud

Published:2014-08-26 Issue:6 Volume:8 Page:872-884
ISSN:2095-2228
Container-title:Frontiers of Computer Science
language:en
Short-container-title:Front. Comput. Sci.

Author:

Zhang Yu,Liao Xiaofei,Jin Hai,Lin Li,Lu Feng

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11704-014-3472-4.pdf

Reference28 articles.

1. Horowitz D, Kamvar S D. The anatomy of a large-scale social search engine. In: Proceedings of the 19th International Conference on World Wide Web. 2010, 431–440

2. Song H, Cho T, Dave V, Zhang Y, Qiu L. Scalable proximity estimation and link prediction in online social networks. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference. 2009, 322–335

3. Gao B, Liu T, Wei W, Wang T, Li H. Semi-supervised ranking on very large graphs with rich metadata. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2011, 96–104

4. Baluja S, Seth R, Sivakumar D, Jing Y, Jay Y, Kumar S, Deepak R, Aly M. Video suggestion and discovery for youtube: taking random walks through the view graph. In: Proceedings of the 17th International Conference on World Wide Web. 2008, 895–904

5. Zhou T, Kuscsik Z, Liu J, Medo M, Wakeling J R, Zhang Y. Solving the apparent diversity-accuracy dilemma of recommender systems. Proceedings of the National Academy of Sciences, 2010, 107(10): 4511–4515

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2. LargeGraph;ACM Transactions on Architecture and Code Optimization;2021-12-31

3. A Structure-aware Storage Optimization for Out-of-Core Concurrent Graph Processing;IEEE Transactions on Computers;2021

4. AsynGraph;ACM Transactions on Architecture and Code Optimization;2020-12-22

5. GGraph: An Efficient Structure-aware Approach for Iterative Graph Processing;IEEE Transactions on Big Data;2020

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