1 |
G. Malewicz, M. H. Austern, A. J. Bik, J. C. Dehnert, I., Horn, N. Leiser, and G. Czajkowski, "Pregel: a system for large-scale graph processing," In Proc. 2010 ACM SIGMOD International Conference on Management of Data, ACM, pp.135-146, 2010.
|
2 |
The Apache Software Foundation, "Welcome to ApacheTM !," The Apache Software Foundation, 2014. [Online]. Available: http://hadoop.apache.org. [Accessed Dec. 1, 2017].
|
3 |
U. Kang, C. E. Tsourakakis, and C. Faloutsos, "Pegasus: A peta-scale graph mining system implementation and observations," In Proc. IEEE 9th International Conference on Data Mining, IEEE, pp. 229-238, 2009.
|
4 |
J. Lin and M. Schatz, "Design patterns for efficient graph algorithms in MapReduce," In Proc. 8th Workshop on Mining and Learning with Graphs, ACM, pp.78-85, 2010.
|
5 |
J. Dean and S. Ghemawat, "MapReduce: simplified data processing on large clusters," Communications of the ACM, Vol.51, No.1, pp.107-113, 2008.
DOI
|
6 |
Y. Low, D. Bickson, J. Gonzalez, C. Guestrin, A. Kyrola, and J. M. Hellerstein, "Distributed GraphLab: a framework for machine learning and data mining in the cloud," In Proc. VLDB Endowment, Vol.5, No.8, pp.716-727, 2012.
|
7 |
J. E. Gonzalez, Y. Low, H. Gu, D. Bickson, and C. Guestrin, "PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs," OSDI, Vol.12, No.1, p.2, 2012.
|
8 |
J. E. Gonzalez, R. S., Xin, A. Dave, D. Crankshaw, M. J. Franklin, and I. Stoica, "GraphX: Graph Processing in a Distributed Dataflow Framework," OSDI, Vol.14, pp.599-613, 2014.
|
9 |
S. Salihoglu and J. Widom, "Gps: A graph processing system," In Proc. 25th International Conference on Scientific and Statistical Database Management, ACM, 2013, p.22.
|
10 |
Z. Khayyat, K. Awara, A. Alonazi, H. Jamjoom, D. Williams, and P. Kalnis, "Mizan: a system for dynamic load balancing in large-scale graph processing," In Proc. ACM 8th European Conference on Computer Systems, ACM, 2013, pp. 169-182.
|
11 |
L. G. Valiant, "A bridging model for parallel computation," Communications of the ACM, Vol.33, No.8, pp.103-111, 1990.
|
12 |
Y. Tian, A. Balmin, S. A. Corsten, S. Tatikonda, and J. McPherson, "From think like a vertex to think like a graph," In Proc. VLDB Endowment, Vol.7, No.3, pp.193-204, 2013.
|
13 |
Y. Simmhan, A. Kumbhare, C. Wickramaarachchi, S. Nagarkar, S., Ravi, C., Raghavendra, and V. Prasanna, "Goffish: A sub- graph centric framework for large-scale graph analytics," In Proc. 20th European Conference on Parallel Processing, Springer, Cham, pp. 451-462, 2014.
|
14 |
D. Yan, J., Cheng, Y. Lu, and W. Ng, "Blogel: A block-centric framework for distributed computation on real-world graphs," In Proc. VLDB Endowment, Vol.7, No.14, pp.1981-1992, 2014.
DOI
|
15 |
S. Aridhi, A. Montresor, and Y. Velegrakis, "BLADYG: A novel block-centric framework for the analysis of large dynamic graphs," In Proc. ACM Workshop on High Performance Graph Processing, ACM, pp. 39-42, 2016.
|
16 |
M. R. Garey, D. S. Johnson, and L. Stockmeyer, "Some simplified NP-complete graph problems," Theoretical Computer Science, Vol.1, No.3, pp. 237-267, 1976.
DOI
|
17 |
G. Karypis and V. Kumar, "A fast and high quality multilevel scheme for partitioning irregular graphs," SIAM Journal on Scientific Computing, Vol.20, No.1, pp.359-392, 1998.
DOI
|
18 |
P. Sanders and C. Schulz, "Engineering Multilevel Graph Partitioning Algorithms," ESA, Vol.6942, pp.469-480, 2011.
|
19 |
A. J. Soper, C. Walshaw, and M. Cross, "A combined evolutionary search and multilevel optimisation approach to graph-partitioning," Journal of Global Optimization, Vol.29, No.2, pp.225-241, 2004.
DOI
|
20 |
N. Xu, L. Chen, and B. Cui, "LogGP: a log-based dynamic graph partitioning method," In Proc. VLDB Endowment, Vol.7, No.14, pp. 1917-1928, 2014.
DOI
|
21 |
A. Zheng, A. Labrinidis, and P. K. Chrysanthis, "Planar: Parallel lightweight architecture-aware adaptive graph repartitioning," In Proc. IEEE 32nd International Conference on Data Engineering, IEEE, pp.121-132, 2016.
|
22 |
C. Mayer, M. A. Tariq, C. Li, and K. Rothermel, "Graph: Heterogeneity-aware graph computation with adaptive partitioning," In Proc. IEEE 36th International Conference on Distributed Computing Systems, IEEE, pp.118-128, 2016.
|
23 |
D. Kumar, A. Raj, and J. Dharanipragada, "GraphSteal: Dynamic Re-Partitioning for Efficient Graph Processing in Heterogeneous Clusters," In Proc. IEEE 10th International Conference on Cloud Computing, IEEE, pp.439-446, 2017.
|
24 |
L. M. Vaquero, F. Cuadrado, D. Logothetis, and C. Martella, "Adaptive partitioning for large-scale dynamic graphs," In Proc. IEEE 34th International Conference on Distributed Computing Systems, IEEE, pp. 114-153, 2014.
|
25 |
Pivotal Software, "RabbitMQ-Messaging that just works," Pivotal Software, 2007. [Online]. Available: https://www.rabbitmq.com. [Accessed Dec. 1, 2017].
|
26 |
J. Kunegis, "KONECT - The Koblenz Network Collection," uni-koblenz.de, Apr. 25, 2017. [Online]. Available: http://konect.uni-koblenz.de. [Accessed Dec. 7, 2017]
|