Energy-Efficiency and Sustainability in New Generation Cloud Computing: A Vision and Directions for Integrated Management of Data Centre Resources and Workloads
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[1] Mengchu Zhou,et al. Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers , 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[2] Mengchu Zhou,et al. Energy-Efficient and QoS-Optimized Adaptive Task Scheduling and Management in Clouds , 2022, IEEE Transactions on Automation Science and Engineering.
[3] Kotagiri Ramamohanarao,et al. ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds , 2021, IEEE Transactions on Parallel and Distributed Systems.
[4] Rajkumar Buyya,et al. A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs) , 2020, 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).
[5] D. Mankowitz,et al. An empirical investigation of the challenges of real-world reinforcement learning , 2020, ArXiv.
[6] Zhengcai Cao,et al. Scheduling Real-Time Parallel Applications in Cloud to Minimize Energy Consumption , 2019, IEEE Transactions on Cloud Computing.
[7] Helen D. Karatza,et al. An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations , 2019, Future Gener. Comput. Syst..
[8] Hang Liu,et al. Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning , 2019, IEEE Access.
[9] Eric Masanet,et al. Data center growth in the United States: decoupling the demand for services from electricity use , 2018, Environmental Research Letters.
[10] José Manuel Moya,et al. Heuristics and metaheuristics for dynamic management of computing and cooling energy in cloud data centers , 2018, Softw. Pract. Exp..
[11] Rajkumar Buyya,et al. A Taxonomy and Future Directions for Sustainable Cloud Computing , 2017, ACM Comput. Surv..
[12] Dejan S. Milojicic,et al. A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade , 2018 .
[13] Adam Wierman,et al. A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-tenant Data Centers , 2017, 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA).
[14] Rajkumar Buyya,et al. Dynamic Voltage and Frequency Scaling‐aware dynamic consolidation of virtual machines for energy efficient cloud data centers , 2017, Concurr. Comput. Pract. Exp..
[15] Stéphane Bressan,et al. Learn-as-You-Go with Megh: Efficient Live Migration of Virtual Machines , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).
[16] Lachlan L. H. Andrew,et al. Dynamic VM Placement Method for Minimizing Energy and Carbon Cost in Geographically Distributed Cloud Data Centers , 2017, IEEE Transactions on Sustainable Computing.
[17] Dejan S. Milojicic,et al. Evaluating and Improving the Performance and Scheduling of HPC Applications in Cloud , 2016, IEEE Transactions on Cloud Computing.
[18] Alex Delis,et al. Decentralized and Energy-Efficient Workload Management in Enterprise Clouds , 2016, IEEE Transactions on Cloud Computing.
[19] Mohammed Rashid Chowdhury,et al. Implementation and performance analysis of various VM placement strategies in CloudSim , 2015, Journal of Cloud Computing.
[20] Rajkumar Buyya,et al. The anatomy of big data computing , 2015, Softw. Pract. Exp..
[21] Alexandru Iosup,et al. Statistical Characterization of Business-Critical Workloads Hosted in Cloud Datacenters , 2015, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[22] Anders S. G. Andrae,et al. On Global Electricity Usage of Communication Technology: Trends to 2030 , 2015 .
[23] Rajkumar Buyya,et al. Energy-Efficient Scheduling of Urgent Bag-of-Tasks Applications in Clouds through DVFS , 2014, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.
[24] Rajkumar Buyya,et al. Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints , 2013, IEEE Transactions on Parallel and Distributed Systems.
[25] Yuguang Fang,et al. Electricity Cost Saving Strategy in Data Centers by Using Energy Storage , 2013, IEEE Transactions on Parallel and Distributed Systems.
[26] Rajkumar Buyya,et al. Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers , 2012, Concurr. Comput. Pract. Exp..
[27] Marimuthu Palaniswami,et al. Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..
[28] 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..
[29] Jeffrey S. Chase,et al. Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers , 2006, 2006 IEEE International Conference on Autonomic Computing.
[30] Rajkumar Buyya,et al. Service Level Agreement based Allocation of Cluster Resources: Handling Penalty to Enhance Utility , 2005, 2005 IEEE International Conference on Cluster Computing.
[31] Alfred Kobsa,et al. Energy-Efficient Data Centers , 2014, Lecture Notes in Computer Science.