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Xxxxxxxxx, X. Xxxxx, and X. Xx, “Decision model for cloud computing under sla constraints,” in Modeling, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS), 2010 IEEE International Symposium on, Aug 2010, pp. 257–266. [3] X. Xxxxxxxx and X. Xxxxx, “Achieving performance and availability guarantees with spot instances,” in High Performance Computing and Communications (HPCC), 2011 IEEE 13th International Conference on, Sept 2011, pp. 296–303. [4] X. Xxxx, X. Xxxx, X. X. Xxxx, X. Xxx, X. X. Xxx, and X. X. Xxxxxx, “Tradeoffs between profit and customer satisfaction for service provisioning in the cloud,” in Proceedings of the 20th International Symposium on High Performance Distributed Computing, ser. HPDC ’11. New York, NY, USA: ACM, 2011, pp. 229–238. [Online]. Available: xxxx://xxx.xxx.xxx/10.1145/1996130.1996161 [5] “Monte Carlo Method,” xxxx://xx.xxxxxxxxx.xxx/wiki/Monte Carlo method. [6] X. Xxxxx, X. Xxxxxx, X. Xxxxxxxxxxx, X. Xxxxxxxxx, X. Xxxxx, X. Xxxx- eff, and X. Xxxxxxxxxx, “The eucalyptus open-source cloud-computing system,” in Cluster Computing and the Grid, 2009. CCGRID’09. 9th IEEE/ACM International Symposium on. IEEE, 2009, pp. 124–131. [7] Eucalyptus Systems Inc., “xxxx://xxx.xxxxxxxxxx.xxx,” Jun. 2013. [Online]. Available: xxxx://xxx.xxxxxxxxxx.xxx [8] X. Xxxxxx and X. Xxxxxx, “xxxx://xxx.xx.xxxx.xxx/∼rich/workload,” Jun. 2013. [Online]. Available: xxxx://xxx.xx.xxxx.xxx/∼rich/workload [9] “OpenStack,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxxxxx.xxx/”. [10] “CloudStack,” [Online; accessed Aug-2014] ”xxxx://xxxxxxxxxx.xxxxxx.xxx/”. [11] X. Xxxxxx and X. Xxxxxx, “Using parametric models to represent pri- vate cloud workloads,” University of California, Santa Xxxxxxx, Tech. Rep. UCSB-CS-2013-05, August 2013, xxxx://000.000.00.00/xxxxxxxx/ tech reports/reports/2013-05.pdf. [12] X. Xxxxxxx, “Regret minimization and job scheduling,” in SOFSEM 2010: Theory and Practice of Computer Science, ser. Lecture Notes in Computer Science, X. xxx Xxxxxxx, X. Xxxxxxxx, X. Xxxxx, X. Xxxxxx, and X. Xxxxx, Eds. Xxxxxxxx Berlin Heidelberg, 2010, vol. 5901, pp. 71–76. [Online]. Available: xxxx://xx.xxx.xxx/10.1007/978-3-642-11266-9 6 [13] X. Xxxxxx and X. Xxxxxx, “Using Parametric Models to Represent Private Cloud Workloads,” IEEE Transcations on Services Computing, vol. 4, no. 7, pp. 714–725, October 2014. [14] X. Xxxxxx, X. Xxx, X. Xxxxxx, and X. Xxxxxx, “Using Trustworthy Simulation to Engineer Cloud Schedulers,” in Cloud Engineering (IC2E), 2015 IEEE International Conference on, March 2015. [15] “Announcing Amazon EC2 Spot Instances,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxx.xxx/about-aws/whats-new/2009/12/14/announcing- amazon-ec2-spot-instances/”. [16] X. Xxxxxx, X. Xxxxxxxx, X. Xxxxxxxxx, X. Xxxxxxxx, X. Xxxxxxx, and X. Xxxxxx, “See spot run: Using spot instances for mapreduce workflows,” in Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, ser. HotCloud’10. Berkeley, CA, USA: USENIX Association, 2010, pp. 7–7. [Online]. Available: xxxx://xx.xxx.xxx/xxxxxxxx.xxx?id=1863103.1863110

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Xxxxxxxxx, X. Xxxxx(2004). Service-oriented modeling and architecture, and IBM technical article. Retrieved October 20, 2008, from xxxx://xxx.xxx.xxx/developerworks/library/ws-soa-design1/ . [2] X. XxX. XxxXxxxxx et al. Reference Model for Service Oriented Architecture 1.0, “Decision model for cloud computing under sla constraints,” in ModelingOASIS Committee Specification 1, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS), 2010 IEEE International Symposium on, Aug 2010, pp. 257–266. 2 August 2006 [3] X. Xxxxxxxx Xxxxxxxxxx, X.X. (2003). Service-oriented computing: concepts, characteristics and X. Xxxxx, “Achieving performance and availability guarantees with spot instances,” in High Performance Computing and Communications (HPCC), 2011 IEEE 13th directions. In Proceedings of the 4th International Conference onon Web Information Systems Xxxxxxxxxxx, Sept 2011XXXX 0000, pp. 296–303Xxxx, Xxxxx. [4] X. XxxxXxXxxxxxxx, X., Xxxxxx, X., & Xxxxxxxxxxx, X. Xxxx, X. X. Xxxx, X. Xxx, X. X. Xxx, and X. X. Xxxxxx, “Tradeoffs between profit and customer satisfaction (2006). Lessons learned from MammoGrid for service provisioning in the cloud,” in Proceedings of the 20th International integrated biomedical solutions. In 19th IEEE Int. Symposium on High Performance Distributed ComputingComputer-Based Medical Systems, serCBMS 2006. HPDC ’11. New York, NY, USA: ACM, 2011, pp. 229–238. [Online]. Available: xxxx://xxx.xxx.xxx/10.1145/1996130.1996161 [5] “Monte Carlo Method,” xxxx://xx.xxxxxxxxx.xxx/wiki/Monte Carlo methodHealth-e-Child, The EU FP6 Information Societies Technology Project. (2008). Retrieved October 20, 2008, from xxxx://xxx.xxxxxx-x-xxxxx.xxx/ . [6] X. Xxxxx, X. Xxxxxx, X. Xxxxxxxxxxx, X. Xxxxxxxxx, X. Xxxxx, X. Xxxx- eff, and "Health-e-Child: A Grid Platform for European Paediatrics" X. Xxxxxxxxxx, “The eucalyptus open-source cloud-computing system,” in Cluster Computing and the Grid, 2009. CCGRID’09. 9th IEEE/ACM International Symposium on. IEEE, 2009, pp. 124–131. [7] Eucalyptus Systems Inc., “xxxx://xxx.xxxxxxxxxx.xxx,” Jun. 2013. [Online]. Available: xxxx://xxx.xxxxxxxxxx.xxx [8] X. Xxxxxx and X. Xxxxxx, “xxxx://xxx.xx.xxxx.xxx/∼rich/workload,” Jun. 2013. [Online]. Available: xxxx://xxx.xx.xxxx.xxx/∼rich/workload [9] “OpenStack,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxxxxx.xxx/”. [10] “CloudStack,” [Online; accessed Aug-2014] ”xxxx://xxxxxxxxxx.xxxxxx.xxx/”. [11] X. Xxxxxx and X. Xxxxxx, “Using parametric models to represent pri- vate cloud workloads,” University of California, Santa Xxxxxxx, Tech. Rep. UCSB-CS-2013-05, August 2013, xxxx://000.000.00.00/xxxxxxxx/ tech reports/reports/2013-05.pdf. [12] X. Xxxxxxx, “Regret minimization and job scheduling,” in SOFSEM 2010: Theory and Practice of Computer Science, ser. Lecture Notes in Computer Science, X. xxx Xxxxxxx, X. Xxxxxxxx, X. Xxxxx, X. Xxxxxx, and X. Xxxxxxxxx, X. Xxxx, X. Xxxxx, Eds. Xxxxxxxx Berlin HeidelbergX. Xxxxxxx, 2010X. Xxxxxxxxxxx, vol. 5901X. Xxxxx, pp. 71–76X. XxXxxxxxxx, X. Xxxxxxx Proceedings of the 2007 Computing in High Energy and Nuclear Physics International Conference - CHEP07, (USA), 2007 Publication in Journal of Physics: Conference Series. [Online]7] MRIcro. Available: xxxx://xx.xxx.xxx/10.1007/978-3-642-11266-9 6 xxxx://xxx.xxx.xx.xxx/comd/rorden/mricro.html [8] FMRIB Software Library. xxxx://xxx.xxxxx.xx.xx.xx [9] xxxx://xxxxxx.xx.xxxxxxxx.xxx/~hai/tmp/doc/siena/index.html [10] Xxxxxxxx, M. C., Xxxxx, X., & xx Xxxxxxx Xxxxxxx, P. M. (2007). Towards applying content- based image retrieval in the clinical routine. Future Gener. Comput. Syst., 23 (3), 466-474. [11] Xxxxxxxx, X., Xxxxxxx, P., Xxxxxxx, S., Xxxxxxxxxx, V., Xxxxxxxxxx, M., Xxxxxxxxxxx, G., Xx Xxxxx, F., Xxxxxxxx, S., Xxxxxxxx, U., Xxxxxxx, R., Xxxxxxxxxxx, X., Xxxxxx, S. C., Xxxxxx, P., Xx Xxxxx, I., Xx Xxxxxx, G., Xxxxxxxx, M. E., Xxxxx, F., Xxxxxxx, G., Xxxxxxx, B., Xxxxxxxx, X. X., Xxxxxx, A., Xxxxx Xxxxxx, X., Xxxxx, X., Xxxxxx, X. X., Xxxxxxxx, X., Xxxxx, P., Xxxxxx Xxxxxxxx, X., Xxxxxx, M., Xxxx, G., Xxxxxx, X., Xxxxx, M., Xxxxxx, S., Xxxx, X., Xxxxxxxx, S., Xxxxxxxx, X., Xxxxxxxx, X., & Xxxxxx, B. (2007). Distributed medical images analysis on a Grid infrastructure. Future Gener. Comput. Syst., 23 (3), 475-484. [12] Xxxxxx, X., Xxxxx-Xxxxxxx, P., & Xxxxxx, X. (2007). From bioinformatic web portals to semantically integrated Data Grid networks. Future Gener. Comput. Syst., 23 (3), 485-496. [13] X. Xxxxxx and X. Xxxxxxglite, “Using Parametric Models to Represent Private Cloud Workloads,” IEEE Transcations on Services ComputingA lightweight middleware for grid computing. (2008). Retrieved October 20, vol. 42008, no. 7, pp. 714–725, October 2014from xxxx://xxxxx.xxx.xxxx.xx/glite/ . [14] The Globus Alliance: xxxx://xxx.xxxxxx.xxx/ [15] "Gridifying Biomedical Applications: Experiences of the Health-e-Child Project" X. Xxxxxx, X. XxxXxxxxxx, X. Xxxxxx, and X. Xxxxxx, “Using Trustworthy Simulation to Engineer Cloud Schedulers,” in Cloud Engineering (IC2E), 2015 IEEE International Conference on, March 2015. [15] “Announcing Amazon EC2 Spot Instances,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxx.xxx/about-aws/whats-new/2009/12/14/announcing- amazon-ec2-spot-instances/”. [16] X. Xxxxxx, X. XxxxxxxxXxxxxxx, X. Xxxxxxxxx, X. Xxxxxxxxxx, X. XxXxxxxxxx, X. Xxxxx, X. Xxxx, X. Xxxxx Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare. Information Science Reference (IGI Global). Submitted - still being evaluated. [16] Xxxxxxx Xxxxxxx, Xxxxx Xxxxxxxxx, Xxxxxx Xxxxxx, Xxxxx Xxxxxxxx, X. Xxxxx Xxxxxxxx. "MOTEUR: a data-intensive service-based workflow manager" Research Report I3S, number I3S/RR-2006-07-FR, 37 pages, Sophia Antipolis, France, mar 2006 [17] Xxxxx Xxxxxxxx, Xxxxx Xxxxxxxxx, Xxxxxxx Xxxxxxx, and X. Xxxxxx, “See spot run: Using spot instances . "Estimating the execution context for mapreduce workflows,” refining submission strategies on production grids" (workshop) in Proceedings of the 2Nd USENIX Conference on Hot Topics Assessing Models of Networks and Distributed Computing Platforms (ASSESS / ModernBio) (CCgrid'08), pages 753 -- 758 [18] Xxxxxxx Xxxxxxx, Xxxxx Xxxxxxxx, Xxxxx Xxxxxxxxx. "Generic web service wrapper for efficient embedding of legacy codes in Cloud Computingservice-based workflows" (workshop) in Proceedings of the Grid- Enabling Legacy Applications and Supporting End Users Workshop (GELA'06), serpages 00--00, Xxxxx, Xxxxxx, jun 2006 [19] LoNI Software Tools. HotCloud’10xxxx://xxx.xxxx.xxxx.xxx/Software/ [20] "A Formal Model-Driven Approach for Grid Application Architectures" X. Xxxxxx, X. Xxxxxx. BerkeleyTechnical Report LISTIC Xx 00/00, CAXxxxxxxxxx xx Xxxxxx - LISTIC, USA: USENIX Association, 2010, pp. 7–7. [Online]. Available: xxxx://xx.xxx.xxx/xxxxxxxx.xxx?id=1863103.18631102007.

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Xxxxxxxxx, X. Xxxxx, and X. XxXxxxx ”A Methodology for the Characterization of Process Variation in NoC Links”, “Decision model DATE 2010. [5] Y. Xxxxxxx et al., ”A 5-GHz Mesh Interconnect for cloud computing under sla constraintsa Teraflops Processor,” in ModelingIEEE Micro Magazine, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS), 2010 IEEE International Symposium on, Aug 2010Sept-Oct. 2007, pp. 257–26651-61. [36] X. Xxxxxxxx Xxxxx et al., ”POWER7: IBM’s Next Generation Server Processor”, Hot chips 21, August 2009. [7] X. Xxxxxxxxxx et al., ”Nehalem-EX CPU Architecture”, Hot chips 21, August 2009. [8] X. Xxxxx et al, ”Interconnections in multi-core architectures: Understanding mechanisms, overheads, and scaling”, ISCA, June 2005. [9] X. Xxxxx et al. Segment-Based Routing: An Efficient Fault-Tolerant Routing Algorithm for Meshes and Xxxx. Proceedings of the 2006 International Parallel and Distributed Processing Symposium, 2006 [10] X. Xx Xxxxxxx and X. Xxxxxx, ”Networks on Chips: Technology and Tools”, Xxxxxx Xxxxxxxx, 2006. [11] X. Xxxx Xxxxxxx and X. Xxxxxxx, ”Bi-Synchronous FIFO for Synchronous Circuit Communi- cation Well Suited for Network-on-Chip in GALS Architectures”, in NOCS ’07. [12] X. Xxxxx et al., ”Voltage-Frequency Island Partitioning for GALS-based Networks-on-Chip”, Design Automation Conference, 2007 [13] X.X. Xxxxx et al., ”Research challenges for on-chip interconnection networks”, IEEE Micro, 2007. [14] X. Xxxxx et al., ”Rainbow Falls: Xxx’s Next Generation CMT Processor”, Hot chips 21, August 2009. [15] X. Xxxx, X. Xxxxxx, X. Xxxx, X. Xxxxx, “Achieving performance and availability guarantees with spot instances,” in High Performance Computing and Communications (HPCC)X. Xxxxx, 2011 IEEE 13th International Conference on, Sept 2011, pp. 296–303. [4] X. Xxxx, X. Xxxx, X. X. Xxxx, X. Xxx, X. X. Xxx, and X. X. Xxxxxx, “Tradeoffs between profit and customer satisfaction A 1.2 TB/s on-chip ring interconnect for service provisioning in the cloud,” in Proceedings of the 20th International Symposium on High Performance Distributed Computing, ser. HPDC ’11. New York, NY, USA: ACM, 2011, pp. 229–238. 45nm 8-core [Online]. Available: xxxx://xxx.xxx.xxx/10.1145/1996130.1996161 [5] “Monte Carlo Method,” xxxx://xx.xxxxxxxxx.xxx/wiki/Monte Carlo method. [616] X. XxxxxXxxxxxx, ”Single-chip Cloud Computer: An experimen- tal http: many-core //xxxxxxxx.xxx processor from Intel Labs”,xx.xxx/xxxxxxxxx/xxx/xxxxxxxxx/XXX Annou available ncement Jus online at tinRattner.pdf [17] X. Xxxxxx, X. Xxxxxxxxxxx, X. XxxxxxxxxXxxxxxx, X. Xxxxx, X. Xxxx- eff, and X. Xxxxxxxxxx, “The eucalyptus open-source cloud-computing system,” in Cluster Computing and the Grid, 2009. CCGRID’09. 9th IEEE/ACM International Symposium on. IEEE, 2009, pp. 124–131. [7] Eucalyptus Systems Inc., “xxxx://xxx.xxxxxxxxxx.xxx,” Jun. 2013. [Online]. Available: xxxx://xxx.xxxxxxxxxx.xxx [8] X. Xxxxxx Xxxxx and X. Xxxxxx, “xxxx://xxx.xx.xxxx.xxx/∼rich/workload,” Jun. 2013”Efficient Unicast and Multicast Support for CMPs”, in IEEE/ACM Int. Symp. on Microarchitecture, 2008. [Online]18] X. Xxxx et al, ”A robust self-calibrating transmission scheme for on-chip networks”, IEEE Trans. Available: xxxx://xxx.xx.xxxx.xxx/∼rich/workload Very Large Scale Integr. Syst. vol. 13 no. 1, 2005 [9] “OpenStack,” [Online; accessed Aug-201419] ”xxxx://xxx.xxxxxxxxx.xxx/Six-Core AMD Opteron Processor . [10] “CloudStack,” [Online; accessed Aug-2014] ”xxxx://xxxxxxxxxx.xxxxxx.xxx/”. [11] X. Xxxxxx and X. Xxxxxx, “Using parametric models to represent pri- vate cloud workloads,” University of California, Santa Xxxxxxx, Tech. Rep. UCSB-CS-2013-05, August 2013, xxxx://000.000.00.00/xxxxxxxx/ tech reports/reports/2013-05.pdf. [12] X. Xxxxxxx, “Regret minimization and job scheduling,” in SOFSEM 2010: Theory and Practice of Computer Science, ser. Lecture Notes in Computer Science, X. xxx Xxxxxxx, X. Xxxxxxxx, X. Xxxxx, X. Xxxxxx, and X. Xxxxx, Eds. Xxxxxxxx Berlin Heidelberg, 2010, vol. 5901, pp. 71–76. [Online]. Available: xxxx://xx.xxx.xxx/10.1007/978-3-642-11266-9 6 [13] X. Xxxxxx and X. Xxxxxx, “Using Parametric Models to Represent Private Cloud Workloads,” IEEE Transcations on Services Computing, vol. 4, no. 7, pp. 714–725, October 2014. [14] X. Xxxxxx, X. Xxx, X. Xxxxxx, and X. Xxxxxx, “Using Trustworthy Simulation to Engineer Cloud Schedulers,” in Cloud Engineering (IC2E), 2015 IEEE International Conference on, March 2015. [15] “Announcing Amazon EC2 Spot Instances,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxx.xxx/about-aws/whats-new/2009/12/14/announcing- amazon-ec2-spot-instances/”. [16] X. Xxxxxx, X. Xxxxxxxx, X. Xxxxxxxxx, X. Xxxxxxxx, X. Xxxxxxx, and X. Xxxxxx, “See spot run: Using spot instances for mapreduce workflows,” in Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, ser. HotCloud’10. Berkeley, CA, USA: USENIX Association, 2010, pp. 7–7. [Online]. Available: xxxx://xx.xxx.xxx/xxxxxxxx.xxx?id=1863103.1863110available online at xxxx://xxx.xxx.xxx/us/products/server/processors/six-core-opteron/Pages/six-core- opteron.aspx

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Xxxxxxxxx, X. Xxxxx, and X. XxXxxxx ”A Methodology for the Characterization of Process Variation in NoC Links”, “Decision model DATE 2010. [5] Y. Xxxxxxx et al., ”A 5-GHz Mesh Interconnect for cloud computing under sla constraintsa Teraflops Processor,” in ModelingIEEE Micro Magazine, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS), 2010 IEEE International Symposium on, Aug 2010Sept-Oct. 2007, pp. 257–26651-61. [36] X. Xxxxxxxx Xxxxx et al., ”POWER7: IBM’s Next Generation Server Processor”, Hot chips 21, August 2009. [7] X. Xxxxxxxxxx et al., ”Nehalem-EX CPU Architecture”, Hot chips 21, August 2009. [8] X. Xxxxx et al, ”Interconnections in multi-core architectures: Understanding mechanisms, overheads, and scaling”, ISCA, June 2005. [9] X. Xxxxx et al. Segment-Based Routing: An Efficient Fault-Tolerant Routing Algorithm for Meshes and Xxxx. Proceedings of the 2006 International Parallel and Distributed Processing Symposium, 2006 [10] X. Xx Xxxxxxx and X. Xxxxxx, ”Networks on Chips: Technology and Tools”, Xxxxxx Xxxxxxxx, 2006. [11] X. Xxxx Xxxxxxx and X. Xxxxxxx, ”Bi-Synchronous FIFO for Synchronous Circuit Communi- cation Well Suited for Network-on-Chip in GALS Architectures”, in NOCS ’07. [12] X. Xxxxx et al., ”Voltage-Frequency Island Partitioning for GALS-based Networks-on-Chip”, Design Automation Conference, 2007 [13] X.X. Xxxxx et al., ”Research challenges for on-chip interconnection networks”, IEEE Micro, 2007. [14] X. Xxxxx et al., ”Rainbow Falls: Xxx’s Next Generation CMT Processor”, Hot chips 21, August 2009. [15] X. Xxxx, X. Xxxxxx, X. Xxxx, X. Xxxxx, “Achieving performance and availability guarantees with spot instances,” in High Performance Computing and Communications (HPCC)X. Xxxxx, 2011 IEEE 13th International Conference on, Sept 2011, pp. 296–303. [4] X. Xxxx, X. Xxxx, X. X. Xxxx, X. Xxx, X. X. Xxx, and X. X. Xxxxxx, “Tradeoffs between profit and customer satisfaction A 1.2 TB/s on-chip ring interconnect for service provisioning in the cloud,” in Proceedings of the 20th International Symposium on High Performance Distributed Computing, ser. HPDC ’11. New York, NY, USA: ACM, 2011, pp. 229–238. 45nm 8-core [Online]. Available: xxxx://xxx.xxx.xxx/10.1145/1996130.1996161 [5] “Monte Carlo Method,” xxxx://xx.xxxxxxxxx.xxx/wiki/Monte Carlo method. [616] X. XxxxxXxxxxxx, ”Single-chip Cloud Computer: An experimen- tal many-core xxxx://xxxxxxxx.xxx processor from Intel Labs”,xx.xxx/xxxxxxxxx/xxx/xxxxxxxxx/XXX Annou available ncement Jus online at tinRattner.pdf [17] X. Xxxxxx, X. Xxxxxxxxxxx, X. XxxxxxxxxXxxxxxx, X. Xxxxx, X. Xxxx- eff, and X. Xxxxxxxxxx, “The eucalyptus open-source cloud-computing system,” in Cluster Computing and the Grid, 2009. CCGRID’09. 9th IEEE/ACM International Symposium on. IEEE, 2009, pp. 124–131. [7] Eucalyptus Systems Inc., “xxxx://xxx.xxxxxxxxxx.xxx,” Jun. 2013. [Online]. Available: xxxx://xxx.xxxxxxxxxx.xxx [8] X. Xxxxxx Xxxxx and X. Xxxxxx, “xxxx://xxx.xx.xxxx.xxx/∼rich/workload,” Jun. 2013”Efficient Unicast and Multicast Support for CMPs”, in IEEE/ACM Int. Symp. on Microarchitecture, 2008. [Online]18] X. Xxxx et al, ”A robust self-calibrating transmission scheme for on-chip networks”, IEEE Trans. Available: xxxx://xxx.xx.xxxx.xxx/∼rich/workload Very Large Scale Integr. Syst. vol. 13 no. 1, 2005 [9] “OpenStack,” [Online; accessed Aug-201419] ”xxxx://xxx.xxxxxxxxx.xxx/Six-Core AMD Opteron Processor . [10] “CloudStack,” [Online; accessed Aug-2014] ”xxxx://xxxxxxxxxx.xxxxxx.xxx/”. [11] X. Xxxxxx and X. Xxxxxx, “Using parametric models to represent pri- vate cloud workloads,” University of California, Santa Xxxxxxx, Tech. Rep. UCSB-CS-2013-05, August 2013, xxxx://000.000.00.00/xxxxxxxx/ tech reports/reports/2013-05.pdf. [12] X. Xxxxxxx, “Regret minimization and job scheduling,” in SOFSEM 2010: Theory and Practice of Computer Science, ser. Lecture Notes in Computer Science, X. xxx Xxxxxxx, X. Xxxxxxxx, X. Xxxxx, X. Xxxxxx, and X. Xxxxx, Eds. Xxxxxxxx Berlin Heidelberg, 2010, vol. 5901, pp. 71–76. [Online]. Available: xxxx://xx.xxx.xxx/10.1007/978-3-642-11266-9 6 [13] X. Xxxxxx and X. Xxxxxx, “Using Parametric Models to Represent Private Cloud Workloads,” IEEE Transcations on Services Computing, vol. 4, no. 7, pp. 714–725, October 2014. [14] X. Xxxxxx, X. Xxx, X. Xxxxxx, and X. Xxxxxx, “Using Trustworthy Simulation to Engineer Cloud Schedulers,” in Cloud Engineering (IC2E), 2015 IEEE International Conference on, March 2015. [15] “Announcing Amazon EC2 Spot Instances,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxx.xxx/about-aws/whats-new/2009/12/14/announcing- amazon-ec2-spot-instances/”. [16] X. Xxxxxx, X. Xxxxxxxx, X. Xxxxxxxxx, X. Xxxxxxxx, X. Xxxxxxx, and X. Xxxxxx, “See spot run: Using spot instances for mapreduce workflows,” in Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, ser. HotCloud’10. Berkeley, CA, USA: USENIX Association, 2010, pp. 7–7. [Online]. Available: xxxx://xx.xxx.xxx/xxxxxxxx.xxx?id=1863103.1863110available online at xxxx://xxx.xxx.xxx/us/products/server/processors/six-core-opteron/Pages/six-core- opteron.aspx

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Xxxxxxxxx, X. XxxxxXxxxxxx, and X. XxXxxxxxx, “Decision model for cloud computing under sla constraintsComprehensive QoS monitoring of Web services and event-based SLA violation detection,” in Modeling4th International Workshop on Middleware for Service Oriented Computing, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS)ACM, 2010 IEEE International Symposium on, Aug 20102009, pp. 257–2661-6, xxxxx://xxx.xxx/10.1145/1657755.1657756. [337] X. Xxxxxxxx and X. XxxxxXx, “Achieving performance and availability guarantees with spot instances,” in High Performance Computing and Communications (HPCC)Z. S. Xx, 2011 IEEE 13th International Conference on, Sept 2011, pp. 296–303. [4] X. Xxxx, X. Xxxx, X. Xxxx, and X. X. Xxxxx, "The network monitoring system based on Cacti for EAST," 2016 IEEE-NPSS Real Time Conference (RT), 2016, pp. 1-5, xxxxx://xxx.xxx/10.1109/RTC.2016.7543086. [38] X. Xxxxxx and N. E. Xxxxxxxxx, "Network's server monitoring and analysis using Nagios," 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017, pp. 1904-1909, xxxxx://xxx.xxx/10.1109/WiSPNET.2017.8300092. [39] Paessler, “PRTG Manual, Comprehensive IT Monitoring,” in PRTG The Monitoring Experts, 2022. [40] X. X. Xxxx, X. XxxXxxxxx, and M. B. Xxxxx, “SLA Violation Detection Mechanism for Cloud Computing,” International Journal of Computer Applications, vol. 133, no. 6, 2016, xxxxx://xxx.xxx/10.5120/ijca2016907483. [41] X. Xxxxxxxx and X. Xxxxxxxxxxxxx, “Violation Detection in Service Level Agreement to Ensure the Privacy in Cloud Community using Chicken Spider Monkey Optimization-Based Deep Belief Network,” Wireless Personal Communications, vol. 117, no. 3, pp. 1-25, 2021, xxxxx://xxx.xxx/10.1007/s11277-020-07940-9. [42] X. X. Xxxx, X. X. XxxXxxx, and X. X. XxxxxxF. F. Xxxx, “Tradeoffs between profit A Machine Learning Model for Detection and customer satisfaction for service provisioning Prediction of Cloud Quality of Service Violation, “ in the cloud,” in Proceedings of the 20th International Symposium on High Performance Distributed ComputingComputational Science and Its Applications – ICCSA 2018, ser. HPDC ’11. New York, NY, USA: ACM, 2011, pp. 229–238. [Online]. Available: xxxx://xxx.xxx.xxx/10.1145/1996130.1996161 [5] “Monte Carlo Method,” xxxx://xx.xxxxxxxxx.xxx/wiki/Monte Carlo method. [6] X. Xxxxx, X. Xxxxxx, X. Xxxxxxxxxxx, X. Xxxxxxxxx, X. Xxxxx, X. Xxxx- eff, and X. Xxxxxxxxxx, “The eucalyptus open-source cloud-computing system,” in Cluster Computing and the Grid, 2009. CCGRID’09. 9th IEEE/ACM International Symposium on. IEEE, 2009, pp. 124–131. [7] Eucalyptus Systems Inc., “xxxx://xxx.xxxxxxxxxx.xxx,” Jun. 2013. [Online]. Available: xxxx://xxx.xxxxxxxxxx.xxx [8] X. Xxxxxx and X. Xxxxxx, “xxxx://xxx.xx.xxxx.xxx/∼rich/workload,” Jun. 2013. [Online]. Available: xxxx://xxx.xx.xxxx.xxx/∼rich/workload [9] “OpenStack,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxxxxx.xxx/”. [10] “CloudStack,” [Online; accessed Aug-2014] ”xxxx://xxxxxxxxxx.xxxxxx.xxx/”. [11] X. Xxxxxx and X. Xxxxxx, “Using parametric models to represent pri- vate cloud workloads,” University of California, Santa Xxxxxxx, Tech. Rep. UCSB-CS-2013-05, August 2013, xxxx://000.000.00.00/xxxxxxxx/ tech reports/reports/2013-05.pdf. [12] X. Xxxxxxx, “Regret minimization and job scheduling,” in SOFSEM 2010: Theory and Practice of Computer Science, ser. Lecture Notes in Computer Science, vol. 10960, 2018, xxxxx://xxx.xxx/10.1007/978-3-319-95162-1_34. [43] X. xxx Xxxxxxx, X. XxxxxxxxX. Xxxxxxx, X. Xxxxxxx, X. Xxxxx, X. Xxxxxx, and X. Xxxxx, Eds. Xxxxxxxx Berlin Heidelberg, 2010"Risk-based framework for SLA violation abatement from the cloud service provider’s perspective," The Computer Journal, vol. 590161, no. 9, pp. 71–76. [Online]. Available: xxxx://xx.xxx.xxx/10.1007/978-3-642-11266-9 6 [13] X. Xxxxxx and X. Xxxxxx1306–1322, “Using Parametric Models to Represent Private Cloud Workloads,” IEEE Transcations on Services Computing2018, vol. 4, no. 7, pp. 714–725, October 2014. [14] X. Xxxxxx, X. Xxx, X. Xxxxxx, and X. Xxxxxx, “Using Trustworthy Simulation to Engineer Cloud Schedulers,” in Cloud Engineering (IC2E), 2015 IEEE International Conference on, March 2015. [15] “Announcing Amazon EC2 Spot Instances,” [Online; accessed Aug-2014] ”xxxx://xxx.xxxxxx.xxx/about-aws/whats-new/2009/12/14/announcing- amazon-ec2-spot-instances/”. [16] X. Xxxxxx, X. Xxxxxxxx, X. Xxxxxxxxx, X. Xxxxxxxx, X. Xxxxxxx, and X. Xxxxxx, “See spot run: Using spot instances for mapreduce workflows,” in Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, ser. HotCloud’10. Berkeley, CA, USA: USENIX Association, 2010, pp. 7–7. [Online]. Available: xxxx://xx.xxx.xxx/xxxxxxxx.xxx?id=1863103.1863110xxxxx://xxx.xxx/10.1093/comjnl/bxx118.

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