MAO, Ming; M. Humphrey, 2013. Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows. Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing(IPDPS2013). S. 67–78. Dostupné online. ISBN978-0-7695-4971-2. doi:10.1109/IPDPS.2013.61. S2CID5226147.
MENYCHTAS, Andreas; GATZIOURA, Anna; VARVARIGOU, Theodora, 2011. 2011 IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom). [s.l.]: IEEE. ISBN978-1-4673-0090-2. doi:10.1109/CloudCom.2011.68. S2CID14985590. Kapitola A Business Resolution Engine for Cloud Marketplaces, s. 462–469.
MAO, Ming; M. Humphrey, 2011. Auto-scaling to minimize cost and meet application deadlines in cloud workflows. Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC2011). ISBN978-1-4503-0771-0. doi:10.1145/2063384.2063449. S2CID11960822.
MAO, Ming; M. Humphrey, 2013. Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows. Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing(IPDPS2013). S. 67–78. Dostupné online. ISBN978-0-7695-4971-2. doi:10.1109/IPDPS.2013.61. S2CID5226147.
MENYCHTAS, Andreas; GATZIOURA, Anna; VARVARIGOU, Theodora, 2011. 2011 IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom). [s.l.]: IEEE. ISBN978-1-4673-0090-2. doi:10.1109/CloudCom.2011.68. S2CID14985590. Kapitola A Business Resolution Engine for Cloud Marketplaces, s. 462–469.
MAO, Ming; M. Humphrey, 2011. Auto-scaling to minimize cost and meet application deadlines in cloud workflows. Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC2011). ISBN978-1-4503-0771-0. doi:10.1145/2063384.2063449. S2CID11960822.
MAO, Ming; M. Humphrey, 2013. Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows. Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing(IPDPS2013). S. 67–78. Dostupné online. ISBN978-0-7695-4971-2. doi:10.1109/IPDPS.2013.61. S2CID5226147.