A Cloud Bidding Framework for Deadline Constrained Jobs
暂无分享,去创建一个
Rajkumar Buyya | Saeid Nahavandi | Abbas Khosravi | Hussain Mohammed Dipu Kabir | Mohammad Anwar Hosen | Abadhan Saumya Sabyasachi | R. Buyya | S. Nahavandi | A. Khosravi | M. Hosen | H. M. D. Kabir | A. S. Sabyasachi
[1] Prateek Sharma,et al. SpotOn: a batch computing service for the spot market , 2015, SoCC.
[2] Rajkumar Buyya,et al. Fault-tolerant Workflow Scheduling using Spot Instances on Clouds , 2014, ICCS.
[3] Shaojie Tang,et al. Towards Optimal Bidding Strategy for Amazon EC2 Cloud Spot Instance , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.
[4] Markus Lumpe,et al. On Estimating Minimum Bids for Amazon EC2 Spot Instances , 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).
[5] R. Buyya,et al. An Auction Mechanism for a Cloud Spot Market , 2014 .
[6] M. G. De Giorgi,et al. Improvements in the predictions for the photovoltaic system performance of the Mediterranean regions , 2016 .
[7] Saeid Nahavandi,et al. Partial Adversarial Training for Prediction Interval , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).
[8] Liang Zheng,et al. How to Bid the Cloud , 2015, Comput. Commun. Rev..
[9] John P. Parmigiani,et al. An experimental assessment of methods to predict crack deflection at an interface , 2017 .
[10] Maria Kihl,et al. Using a Predator-Prey Model to Explain Variations of Cloud Spot Price , 2016, CLOSER.
[11] Qian Zhu,et al. Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments , 2010, IEEE Transactions on Services Computing.
[12] David E. Irwin,et al. Towards Index-based Global Trading in Cloud Spot Markets , 2017, HotCloud.
[13] Rajkumar Buyya,et al. Revenue Maximization with Optimal Capacity Control in Infrastructure as a Service Cloud Markets , 2015, IEEE Transactions on Cloud Computing.
[14] Nian-Feng Tzeng,et al. Effective Cost Reduction for Elastic Clouds under Spot Instance Pricing Through Adaptive Checkpointing , 2015, IEEE Transactions on Computers.
[15] Rajkumar Buyya,et al. A reliable and cost-efficient auto-scaling system for web applications using heterogeneous spot instances , 2015, Journal of Network and Computer Applications.
[16] Rajkumar Buyya,et al. Characterizing spot price dynamics in public cloud environments , 2013, Future Gener. Comput. Syst..
[17] David E. Irwin,et al. Cloud Index Tracking: Enabling Predictable Costs in Cloud Spot Markets , 2018, SoCC.
[18] Kyungyong Lee,et al. Time-Series Analysis for Price Prediction of Opportunistic Cloud Computing Resources , 2018 .
[19] Yang Song,et al. Optimal bidding in spot instance market , 2012, 2012 Proceedings IEEE INFOCOM.
[20] Daniel Grosu,et al. Physical Machine Resource Management in Clouds: A Mechanism Design Approach , 2015, IEEE Transactions on Cloud Computing.
[21] Saeid Nahavandi,et al. Prediction interval with examples of similar pattern and prediction strength , 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).
[22] Rajkumar Buyya,et al. An Auction Mechanism for Cloud Spot Markets , 2016, TAAS.
[23] Maria Grazia De Giorgi,et al. Forecasting of PV Power Generation using weather input data‐preprocessing techniques , 2017 .
[24] Saeid Nahavandi,et al. Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications , 2018, IEEE Access.
[25] Shaolei Ren,et al. Colocation Demand Response: Joint Online Mechanisms for Individual Utility and Social Welfare Maximization , 2016, IEEE Journal on Selected Areas in Communications.
[26] Cho-Li Wang,et al. Error-Tolerant Resource Allocation and Payment Minimization for Cloud System , 2013, IEEE Transactions on Parallel and Distributed Systems.
[27] Zahid Raza,et al. A Survey on Spot Pricing in Cloud Computing , 2017, Journal of Network and Systems Management.
[28] Mansun Chan,et al. Coil-Shaped Electrodes to Reduce the Current Variation of Drop-Casted OTFTs , 2017, IEEE Electron Device Letters.
[29] Hussain Mohammed Dipu Kabir,et al. A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market , 2017, 2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS).
[30] George Kesidis,et al. Exploiting Spot and Burstable Instances for Improving the Cost-efficacy of In-Memory Caches on the Public Cloud , 2017, EuroSys.
[31] Abbas Khosravi,et al. A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings , 2015 .
[32] Daeyong Jung,et al. An Efficient Checkpointing Scheme Using Price History of Spot Instances in Cloud Computing Environment , 2011, NPC.
[33] Martin Schulz,et al. Exploiting Redundancy and Application Scalability for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2 , 2016, IEEE Transactions on Parallel and Distributed Systems.
[34] Bu-Sung Lee,et al. Optimization of Resource Provisioning Cost in Cloud Computing , 2012, IEEE Transactions on Services Computing.
[35] Anand Sivasubramaniam,et al. Cloudy with a Chance of Cost Savings , 2013, IEEE Transactions on Parallel and Distributed Systems.
[36] Zongpeng Li,et al. Dynamic resource provisioning in cloud computing: A randomized auction approach , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.