Thermal-aware adaptive VM allocation considering server locations in heterogeneous data centers
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Young Geun Kim | Sung Woo Chung | Young Geun Kim | Seon Young Kim | Seung Hun Choi | S. Chung | S. Choi
[1] Rajkumar Buyya,et al. Energy Efficient Resource Management in Virtualized Cloud Data Centers , 2010, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing.
[2] Ahmad Khonsari,et al. Thermal-Aware Virtual Machine Allocation for Heterogeneous Cloud Data Centers , 2020, Energies.
[3] Michel Auguin,et al. Temperature-aware DVFS-DPM for real-time applications under variable ambient temperature , 2013, 2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES).
[4] Peter Garraghan,et al. Holistic Virtual Machine Scheduling in Cloud Datacenters towards Minimizing Total Energy , 2018, IEEE Transactions on Parallel and Distributed Systems.
[5] Xiaohong Jiang,et al. Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments , 2011, 2011 IEEE 4th International Conference on Cloud Computing.
[6] Young Geun Kim,et al. Temperature-aware Adaptive VM Allocation in Heterogeneous Data Centers , 2019, 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).
[7] Ayse K. Coskun,et al. Adaptive Power and Resource Management Techniques for Multi-threaded Workloads , 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.
[8] Junlong Zhou,et al. Cost and makespan-aware workflow scheduling in hybrid clouds , 2019, J. Syst. Archit..
[9] Claudio Carpineto,et al. A Survey of Automatic Query Expansion in Information Retrieval , 2012, CSUR.
[10] Lei He,et al. Temperature and supply Voltage aware performance and power modeling at microarchitecture level , 2005, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[11] Kevin Skadron,et al. Recent thermal management techniques for microprocessors , 2012, CSUR.
[12] Young Geun Kim,et al. Stabilizing CPU Frequency and Voltage for Temperature-Aware DVFS in Mobile Devices , 2015, IEEE Transactions on Computers.
[13] Mohamadreza Ahmadi,et al. A dynamic VM consolidation technique for QoS and energy consumption in cloud environment , 2017, The Journal of Supercomputing.
[14] Luca Abeni,et al. Using Xen and KVM as real-time hypervisors , 2020, J. Syst. Archit..
[15] Hai Jin,et al. Performance and energy modeling for live migration of virtual machines , 2011, Cluster Computing.
[16] Amir Masoud Rahmani,et al. Automated negotiation for ensuring composite service requirements in cloud computing , 2019, J. Syst. Archit..
[17] Pietro Tesi,et al. Optimized Thermal-Aware Job Scheduling and Control of Data Centers , 2016, IEEE Transactions on Control Systems Technology.
[18] Yale N. Patt,et al. Predicting Performance Impact of DVFS for Realistic Memory Systems , 2012, 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture.
[19] Lizy Kurian John,et al. Analysis of redundancy and application balance in the SPEC CPU2006 benchmark suite , 2007, ISCA '07.
[20] Jianmin Qian,et al. LG-RAM: Load-aware global resource affinity management for virtualized multicore systems , 2019, J. Syst. Archit..
[21] Weisong Shi,et al. Experimental Analysis of Application Specific Energy Efficiency of Data Centers with Heterogeneous Servers , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.
[22] K JohnLizy,et al. Analysis of redundancy and application balance in the SPEC CPU2006 benchmark suite , 2007 .
[23] Radu Marculescu,et al. An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads , 2012, 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip.
[24] Laxmikant V. Kalé,et al. "Cool" Load Balancing for High Performance Computing Data Centers , 2012, IEEE Trans. Computers.
[25] Massoud Pedram,et al. Power-aware virtual machine mapping in the data-center-on-a-chip paradigm , 2016, 2016 IEEE 34th International Conference on Computer Design (ICCD).
[26] José E. Moreira,et al. True value: assessing and optimizing the cost of computing at the data center level , 2009, CF '09.
[27] Naehyuck Chang,et al. Dynamic thermal management in mobile devices considering the thermal coupling between battery and application processor , 2013, 2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
[28] Reza Azimi,et al. Thermal-aware layout planning for heterogeneous datacenters , 2014, 2014 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).
[29] Lingjia Tang,et al. Understanding the Impact of Socket Density in Density Optimized Servers , 2019, 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA).
[30] Young Geun Kim,et al. An Adaptive Thermal Management Framework for Heterogeneous Multi-Core Processors , 2020, IEEE Transactions on Computers.
[31] Binlei Cai,et al. SLO-aware colocation: Harvesting transient resources from latency-critical services , 2019, J. Syst. Archit..
[32] Manish Marwah,et al. Minimizing data center SLA violations and power consumption via hybrid resource provisioning , 2011, 2011 International Green Computing Conference and Workshops.
[33] Wei Huang,et al. Cooling-Aware Job Scheduling and Node Allocation for Overprovisioned HPC Systems , 2017, 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
[34] Lizhe Wang,et al. Thermal aware workload placement with task-temperature profiles in a data center , 2011, The Journal of Supercomputing.
[35] Massoud Pedram,et al. Prediction and control of bursty cloud workloads: A fractal framework , 2014, 2014 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).
[36] Yuhui Deng,et al. Thermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers , 2018, IEEE Transactions on Big Data.
[37] J. Morris Chang,et al. Cool Cloud: A Practical Dynamic Virtual Machine Placement Framework for Energy Aware Data Centers , 2015, 2015 IEEE 8th International Conference on Cloud Computing.
[38] Dustin W. Demetriou,et al. Combining cooling technology and facility design to improve HPC data center energy efficiency , 2016, 2016 15th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm).
[39] Young Geun Kim,et al. A Survey on Recent OS-Level Energy Management Techniques for Mobile Processing Units , 2018, IEEE Transactions on Parallel and Distributed Systems.
[40] Yusuf Leblebici,et al. Dynamic thermal management in 3D multicore architectures , 2009, 2009 Design, Automation & Test in Europe Conference & Exhibition.
[41] Christina Terese Joseph,et al. IntMA: Dynamic Interaction-aware resource allocation for containerized microservices in cloud environments , 2020, J. Syst. Archit..
[42] David Atienza,et al. TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip , 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[43] Lakshmi Ganesh,et al. Integrated Approach to Data Center Power Management , 2013, IEEE Transactions on Computers.
[44] Yefu Wang,et al. Coordinating Power Control and Performance Management for Virtualized Server Clusters , 2011, IEEE Transactions on Parallel and Distributed Systems.
[45] Naehyuck Chang,et al. Energy-Optimal Dynamic Thermal Management: Computation and Cooling Power Co-Optimization , 2010, IEEE Transactions on Industrial Informatics.
[46] Hsien-Hsin S. Lee,et al. ATAC: Ambient Temperature-Aware Capping for Power Efficient Datacenters , 2014, SoCC.
[47] Chita R. Das,et al. D-factor: a quantitative model of application slow-down in multi-resource shared systems , 2012, SIGMETRICS '12.
[48] Massoud Pedram,et al. Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique , 2014, 2014 IEEE International Congress on Big Data.
[49] Shahin Nazarian,et al. Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach , 2019, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[50] Kevin Skadron,et al. Predictive Temperature-Aware DVFS , 2010, IEEE Transactions on Computers.
[51] Sadagopan Srinivasan,et al. Efficient interaction between OS and architecture in heterogeneous platforms , 2011, OPSR.
[52] Ümit Y. Ogras,et al. Predictive dynamic thermal and power management for heterogeneous mobile platforms , 2015, 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[53] Naehyuck Chang,et al. Exploiting Application/System-Dependent Ambient Temperature for Accurate Microarchitectural Simulation , 2013, IEEE Trans. Computers.
[54] Rajkumar Buyya,et al. ETAS: Energy and thermal‐aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation , 2019, Concurr. Comput. Pract. Exp..
[55] Tianyi Gao,et al. Total cost of ownership model for data center technology evaluation , 2017, 2017 16th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm).
[56] Sherief Reda,et al. Techniques for energy-efficient power budgeting in data centers , 2013, 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC).
[57] Zoltán Ádám Mann,et al. Multicore-Aware Virtual Machine Placement in Cloud Data Centers , 2016, IEEE Transactions on Computers.
[58] Dario Pompili,et al. VMAP: Proactive thermal-aware virtual machine allocation in HPC cloud datacenters , 2012, 2012 19th International Conference on High Performance Computing.
[59] Seda Ogrenci Memik,et al. Minimizing Thermal Variation Across System Components , 2015, 2015 IEEE International Parallel and Distributed Processing Symposium.