PLAStiCC: Predictive Look-Ahead Scheduling for Continuous Dataflows on Clouds
暂无分享,去创建一个
[1] Anne H. H. Ngu,et al. Flexible Scientific Workflow Modeling Using Frames, Templates, and Dynamic Embedding , 2008, SSDBM.
[2] Alexandru Iosup,et al. On the Performance Variability of Production Cloud Services , 2011, 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[3] Graham R. Nudd,et al. Pace—A Toolset for the Performance Prediction of Parallel and Distributed Systems , 2000, Int. J. High Perform. Comput. Appl..
[4] R. F. Freund,et al. Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems , 1999, J. Parallel Distributed Comput..
[5] Yogesh L. Simmhan,et al. Continuous Dataflow Update Strategies for Mission-Critical Applications , 2013, 2013 IEEE 9th International Conference on e-Science.
[6] Scott Shenker,et al. Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters , 2012, HotCloud.
[7] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.
[8] Leonardo Neumeyer,et al. S4: Distributed Stream Computing Platform , 2010, 2010 IEEE International Conference on Data Mining Workshops.
[9] Richard Wolski,et al. The network weather service: a distributed resource performance forecasting service for metacomputing , 1999, Future Gener. Comput. Syst..
[10] Y. Simmhan,et al. Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms , 2011, 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[11] Tim Kraska,et al. Stormy: an elastic and highly available streaming service in the cloud , 2012, EDBT-ICDT '12.
[12] Matthias S. Müller,et al. Performance Prediction in a Grid Environment , 2003, European Across Grids Conference.
[13] Reinhold Weicker,et al. An overview of common benchmarks , 1990, Computer.
[14] Amy Apon,et al. A Case Study on Grid Performance Modeling , 2006 .
[15] Kai Hwang,et al. Adaptive Workload Prediction of Grid Performance in Confidence Windows , 2010, IEEE Transactions on Parallel and Distributed Systems.
[16] Alain Biem,et al. IBM infosphere streams for scalable, real-time, intelligent transportation services , 2010, SIGMOD Conference.
[17] Zhenhuan Gong,et al. PRESS: PRedictive Elastic ReSource Scaling for cloud systems , 2010, 2010 International Conference on Network and Service Management.
[18] Yogesh L. Simmhan,et al. Exploiting application dynamism and cloud elasticity for continuous dataflows , 2013, 2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
[19] Subhash Saini,et al. Local grid scheduling techniques using performance prediction , 2003 .
[20] Schahram Dustdar,et al. Esc: Towards an Elastic Stream Computing Platform for the Cloud , 2011, 2011 IEEE 4th International Conference on Cloud Computing.
[21] Rajkumar Buyya,et al. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms , 2011, Softw. Pract. Exp..
[22] Yogesh L. Simmhan,et al. Resource Allocation Strategies on Hybrid Cloud for Resilient Jobs , 2013 .
[23] P. Krause,et al. COMPARISON OF DIFFERENT EFFICIENCY CRITERIA FOR HYDROLOGICAL MODEL ASSESSMENT , 2005 .
[24] Kishan G. Mehrotra,et al. Forecasting the behavior of multivariate time series using neural networks , 1992, Neural Networks.
[25] Viktor K. Prasanna,et al. Scalable regression tree learning on Hadoop using OpenPlanet , 2012, MapReduce '12.
[26] Shimon Y. Nof,et al. Adaptive/predictive scheduling: review and a general framework , 1991 .
[27] Zhengping Qian,et al. TimeStream: reliable stream computation in the cloud , 2013, EuroSys '13.