暂无分享,去创建一个
[1] Hiranya Jayathilaka,et al. Performance Monitoring and Root Cause Analysis for Cloud-hosted Web Applications , 2017, WWW.
[2] Florin Ciucu,et al. Distributed resource management across process boundaries , 2017, SoCC.
[3] Zhenhuan Gong,et al. PRESS: PRedictive Elastic ReSource Scaling for cloud systems , 2010, 2010 International Conference on Network and Service Management.
[4] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[5] Michael M. Swift,et al. Scheduler-based Defenses against Cross-VM Side-channels , 2014, USENIX Security Symposium.
[6] Kevin Skadron,et al. Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations , 2011, 2011 44th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
[7] Michael Abd-El-Malek,et al. Omega: flexible, scalable schedulers for large compute clusters , 2013, EuroSys '13.
[8] Abdelkader H. Ouda,et al. Cloud-based DDoS attacks and defenses , 2013, International Conference on Information Society (i-Society 2013).
[9] Christina Delimitrou,et al. Tarcil: reconciling scheduling speed and quality in large shared clusters , 2015, SoCC.
[10] Luiz André Barroso,et al. Warehouse-Scale Computing: Entering the Teenage Decade , 2011, SIGARCH Comput. Archit. News.
[11] Christina Delimitrou,et al. HCloud: Resource-Efficient Provisioning in Shared Cloud Systems , 2016, ASPLOS.
[12] Majd F. Sakr,et al. Initial Findings for Provisioning Variation in Cloud Computing , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.
[13] Lisandro Zambenedetti Granville,et al. Monitoring of cloud computing environments: concepts, solutions, trends, and future directions , 2016, SAC.
[14] Jie Xu,et al. Reducing late-timing failure at scale:straggler root-cause analysis in cloud datacenters , 2016, DSN 2016.
[15] Christina Delimitrou,et al. QoS-Aware scheduling in heterogeneous datacenters with paragon , 2013, TOCS.
[16] David A. Patterson,et al. In-datacenter performance analysis of a tensor processing unit , 2017, 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).
[17] Yuanyuan Zhou,et al. Early Detection of Configuration Errors to Reduce Failure Damage , 2016, USENIX Annual Technical Conference.
[18] Ninghui Sun,et al. DianNao family , 2016, Commun. ACM.
[19] Christoforos E. Kozyrakis,et al. Heracles: Improving resource efficiency at scale , 2015, 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA).
[20] Christina Delimitrou,et al. Quality-of-service-aware Scheduling in Heterogeneous Datacenters with Paragon Paragon, an Online, Scalable Datacenter Scheduler, Enables Better Cluster Utilization and Per-application Quality-of-service Guarantees by Leveraging Data Mining Techniques That Find Similarities between Known and New Appl , 2014 .
[21] Padam Kumar,et al. VM Profile Based Optimized Network Attack Pattern Detection Scheme for DDOS Attacks in Cloud , 2013, SSCC.
[22] Michael K. Reiter,et al. Düppel: retrofitting commodity operating systems to mitigate cache side channels in the cloud , 2013, CCS.
[23] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[24] Jiahai Yang,et al. Root Cause Analysis of Anomalies of Multitier Services in Public Clouds , 2018, IEEE/ACM Transactions on Networking.
[25] Donald Beaver,et al. Dapper, a Large-Scale Distributed Systems Tracing Infrastructure , 2010 .
[26] Xiao Yu,et al. CloudSeer: Workflow Monitoring of Cloud Infrastructures via Interleaved Logs , 2016, ASPLOS.
[27] David M. Nicol,et al. Denial-of-Service Threat to Hadoop/YARN Clusters with Multi-tenancy , 2014, 2014 IEEE International Congress on Big Data.
[28] Xiaohui Gu,et al. CloudScale: elastic resource scaling for multi-tenant cloud systems , 2011, SoCC.
[29] Matti A. Hiltunen,et al. An exploration of L2 cache covert channels in virtualized environments , 2011, CCSW '11.
[30] Amin Vahdat,et al. Exploiting a Natural Network Effect for Scalable, Fine-grained Clock Synchronization , 2018, NSDI.
[31] Thomas F. Wenisch,et al. Power management of online data-intensive services , 2011, 2011 38th Annual International Symposium on Computer Architecture (ISCA).
[32] Ripal Nathuji,et al. Exploiting Platform Heterogeneity for Power Efficient Data Centers , 2007, Fourth International Conference on Autonomic Computing (ICAC'07).
[33] Tianshi Chen,et al. ShiDianNao: Shifting vision processing closer to the sensor , 2015, 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA).
[34] Christoforos E. Kozyrakis,et al. Towards energy proportionality for large-scale latency-critical workloads , 2014, 2014 ACM/IEEE 41st International Symposium on Computer Architecture (ISCA).
[35] Luiz André Barroso,et al. The tail at scale , 2013, CACM.
[36] Christina Delimitrou,et al. QoS-Aware Admission Control in Heterogeneous Datacenters , 2013, ICAC.
[37] Kushagra Vaid,et al. Azure Accelerated Networking: SmartNICs in the Public Cloud , 2018, NSDI.
[38] Randy H. Katz,et al. Heterogeneity and dynamicity of clouds at scale: Google trace analysis , 2012, SoCC '12.
[39] G. Edward Suh,et al. FPGA-Based Remote Power Side-Channel Attacks , 2018, 2018 IEEE Symposium on Security and Privacy (SP).
[40] Kaushik Roy,et al. Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing , 2017, IEEE Access.
[41] Jerome A. Rolia,et al. Workload Analysis and Demand Prediction of Enterprise Data Center Applications , 2007, 2007 IEEE 10th International Symposium on Workload Characterization.
[42] Lingjia Tang,et al. Heterogeneity in “Homogeneous” Warehouse-Scale Computers: A Performance Opportunity , 2011, IEEE Computer Architecture Letters.
[43] Daniel Sánchez,et al. Ubik: efficient cache sharing with strict qos for latency-critical workloads , 2014, ASPLOS.
[44] Abhinav Srivastava,et al. CloudSight: A Tenant-Oriented Transparency Framework for Cross-Layer Cloud Troubleshooting , 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).
[45] Christina Delimitrou,et al. Amdahl's law for tail latency , 2018, Commun. ACM.
[46] Ricardo Bianchini,et al. DeepDive: Transparently Identifying and Managing Performance Interference in Virtualized Environments , 2013, USENIX Annual Technical Conference.
[47] Christina Delimitrou,et al. Bolt: I Know What You Did Last Summer... In The Cloud , 2017, ASPLOS.
[48] Christina Delimitrou,et al. Seer : Leveraging Big Data to Navigate The Complexity of Cloud Debugging , 2018 .
[49] Hari Angepat,et al. Serving DNNs in Real Time at Datacenter Scale with Project Brainwave , 2018, IEEE Micro.
[50] Luiz André Barroso,et al. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines , 2009, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines.
[51] 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.
[52] Brad Fitzpatrick,et al. Distributed caching with memcached , 2004 .
[53] Jorge-Arnulfo Quiané-Ruiz,et al. Runtime measurements in the cloud , 2010, Proc. VLDB Endow..
[54] Krzysztof C. Kiwiel,et al. Convergence and efficiency of subgradient methods for quasiconvex minimization , 2001, Math. Program..
[55] Christina Delimitrou,et al. The Architectural Implications of Cloud Microservices , 2018, IEEE Computer Architecture Letters.
[56] Michael M. Swift,et al. A Placement Vulnerability Study in Multi-Tenant Public Clouds , 2015, USENIX Security Symposium.
[57] Ninghui Sun,et al. DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning , 2014, ASPLOS.
[58] Jia Wang,et al. DaDianNao: A Machine-Learning Supercomputer , 2014, 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture.
[59] Yuan He,et al. An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems , 2019, ASPLOS.
[60] Christoforos E. Kozyrakis,et al. Reconciling high server utilization and sub-millisecond quality-of-service , 2014, EuroSys '14.
[61] Lingjia Tang,et al. Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers , 2013, ISCA.
[62] Anees Shaikh,et al. Performance Isolation and Fairness for Multi-Tenant Cloud Storage , 2012, OSDI.
[63] Patrick Wendell,et al. Sparrow: distributed, low latency scheduling , 2013, SOSP.
[64] Daniel Sánchez,et al. Tailbench: a benchmark suite and evaluation methodology for latency-critical applications , 2016, 2016 IEEE International Symposium on Workload Characterization (IISWC).
[65] Gang Ren,et al. Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers , 2010, IEEE Micro.
[66] Lingjia Tang,et al. Whare-map: heterogeneity in "homogeneous" warehouse-scale computers , 2013, ISCA.
[67] Alexandru Iosup,et al. A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing , 2009, CloudComp.
[68] Christina Delimitrou,et al. Paragon: QoS-aware scheduling for heterogeneous datacenters , 2013, ASPLOS '13.
[69] Randy H. Katz,et al. X-Trace: A Pervasive Network Tracing Framework , 2007, NSDI.
[70] Thomas F. Wenisch,et al. The Mystery Machine: End-to-end Performance Analysis of Large-scale Internet Services , 2014, OSDI.
[71] Christina Delimitrou,et al. Quasar: resource-efficient and QoS-aware cluster management , 2014, ASPLOS.
[72] Hari Angepat,et al. A cloud-scale acceleration architecture , 2016, 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
[73] R. Weisberg. A-N-D , 2011 .
[74] Randy H. Katz,et al. Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center , 2011, NSDI.
[75] Xiaohui Gu,et al. AGILE: Elastic Distributed Resource Scaling for Infrastructure-as-a-Service , 2013, ICAC.
[76] Aman Kansal,et al. Q-clouds: managing performance interference effects for QoS-aware clouds , 2010, EuroSys '10.
[77] Robert M. Bell,et al. The BellKor 2008 Solution to the Netflix Prize , 2008 .
[78] Shantenu Jha,et al. Exploring the Performance Fluctuations of HPC Workloads on Clouds , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.
[79] Minlan Yu,et al. Profiling Network Performance for Multi-tier Data Center Applications , 2011, NSDI.
[80] Svetozar Miuÿ,et al. DejaVu: Accelerating Resource Allocation in Virtualized Environments , 2012 .
[81] Amin Vahdat,et al. Dynamic Scheduling of Virtual Machines Running HPC Workloads in Scientific Grids , 2007, 2009 3rd International Conference on New Technologies, Mobility and Security.