Wide-area analytics with multiple resources
暂无分享,去创建一个
Minlan Yu | Leana Golubchik | Mingyang Zhang | Ganesh Ananthanarayanan | Chien-Chun Hung | G. Ananthanarayanan | Minlan Yu | L. Golubchik | Chien-Chun Hung | Mingyang Zhang | Minlan Yu | Ganesh Ananthanarayanan
[1] Onur Mutlu,et al. Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds , 2017, NSDI.
[2] Prasan Roy,et al. Efficient and extensible algorithms for multi query optimization , 1999, SIGMOD '00.
[3] Aditya Akella,et al. Altruistic Scheduling in Multi-Resource Clusters , 2016, OSDI.
[4] Éva Tardos,et al. Algorithm design , 2005 .
[5] Ming Zhang,et al. Efficiently Delivering Online Services over Integrated Infrastructure , 2016, NSDI.
[6] Albert G. Greenberg,et al. Scarlett: coping with skewed content popularity in mapreduce clusters , 2011, EuroSys '11.
[7] Margarida Mamede,et al. PIXIDA: Optimizing Data Parallel Jobs in Wide-Area Data Analytics , 2015, Proc. VLDB Endow..
[8] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[9] Adam Wierman,et al. This Paper Is Included in the Proceedings of the 11th Usenix Symposium on Networked Systems Design and Implementation (nsdi '14). Grass: Trimming Stragglers in Approximation Analytics Grass: Trimming Stragglers in Approximation Analytics , 2022 .
[10] Frank D. Anger,et al. Scheduling Precedence Graphs in Systems with Interprocessor Communication Times , 1989, SIAM J. Comput..
[11] Joseph Y.-T. Leung,et al. Complexity of Scheduling Parallel Task Systems , 1989, SIAM J. Discret. Math..
[12] Albert G. Greenberg,et al. Reining in the Outliers in Map-Reduce Clusters using Mantri , 2010, OSDI.
[13] Srikanth Kandula,et al. Multi-resource packing for cluster schedulers , 2014, SIGCOMM.
[14] Amit Kumar,et al. Order Scheduling Models: Hardness and Algorithms , 2007, FSTTCS.
[15] Scott Shenker,et al. The Case for Tiny Tasks in Compute Clusters , 2013, HotOS.
[16] Minlan Yu,et al. Scheduling jobs across geo-distributed datacenters , 2015, SoCC.
[17] Randy H. Katz,et al. Improving MapReduce Performance in Heterogeneous Environments , 2008, OSDI.
[18] Adam Wierman,et al. Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale , 2015, SIGCOMM.
[19] Anirban Dasgupta,et al. On scheduling in map-reduce and flow-shops , 2011, SPAA '11.
[20] Ola Svensson,et al. Minimizing the sum of weighted completion times in a concurrent open shop , 2010, Oper. Res. Lett..
[21] Ion Stoica,et al. Efficient Coflow Scheduling Without Prior Knowledge , 2015, SIGCOMM.
[22] Michael I. Jordan,et al. Managing data transfers in computer clusters with orchestra , 2011, SIGCOMM.
[23] Aditya Akella,et al. CLARINET: WAN-Aware Optimization for Analytics Queries , 2016, OSDI.
[24] Antony I. T. Rowstron,et al. Decentralized task-aware scheduling for data center networks , 2014, SIGCOMM.
[25] Carlo Curino,et al. WANalytics: Analytics for a Geo-Distributed Data-Intensive World , 2015, CIDR.
[26] Min Zhu,et al. B4: experience with a globally-deployed software defined wan , 2013, SIGCOMM.
[27] Thomas A. Roemer,et al. A note on the complexity of the concurrent open shop problem , 2006, J. Sched..
[28] Carlo Curino,et al. Global Analytics in the Face of Bandwidth and Regulatory Constraints , 2015, NSDI.
[29] Ramesh Govindan,et al. Mapping the expansion of Google's serving infrastructure , 2013, Internet Measurement Conference.
[30] Ion Stoica,et al. The Power of Choice in Data-Aware Cluster Scheduling , 2014, OSDI.
[31] Srikanth Kandula,et al. This Paper Is Included in the Proceedings of the 12th Usenix Symposium on Operating Systems Design and Implementation (osdi '16). Graphene: Packing and Dependency-aware Scheduling for Data-parallel Clusters G: Packing and Dependency-aware Scheduling for Data-parallel Clusters , 2022 .
[32] Carlo Curino,et al. WANalytics: Geo-Distributed Analytics for a Data Intensive World , 2015, SIGMOD Conference.
[33] Ishai Menache,et al. Network-Aware Scheduling for Data-Parallel Jobs: Plan When You Can , 2015, Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication.
[34] Jeffrey D. Ullman,et al. Optimizing joins in a map-reduce environment , 2010, EDBT '10.
[35] Timos K. Sellis,et al. On the Multiple-Query Optimization Problem , 1990, IEEE Trans. Knowl. Data Eng..
[36] Paramvir Bahl,et al. Low Latency Geo-distributed Data Analytics , 2015, SIGCOMM.
[37] Benjamin Hindman,et al. Dominant Resource Fairness: Fair Allocation of Multiple Resource Types , 2011, NSDI.
[38] Scott Shenker,et al. Usenix Association 10th Usenix Symposium on Networked Systems Design and Implementation (nsdi '13) 185 Effective Straggler Mitigation: Attack of the Clones , 2022 .
[39] Scott Shenker,et al. Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling , 2010, EuroSys '10.
[40] Michael A. Bender,et al. An Efficient Approximation Algorithm for Minimizing Makespan on Uniformly Related Machines , 1998, IPCO.
[41] Michael Stonebraker,et al. A comparison of approaches to large-scale data analysis , 2009, SIGMOD Conference.
[42] Magdalena Balazinska,et al. SkewTune: mitigating skew in mapreduce applications , 2012, SIGMOD Conference.
[43] Srikanth Kandula,et al. PACMan: Coordinated Memory Caching for Parallel Jobs , 2012, NSDI.
[44] Philip S. Yu,et al. Approximate algorithms scheduling parallelizable tasks , 1992, SPAA '92.
[45] Andrew V. Goldberg,et al. Quincy: fair scheduling for distributed computing clusters , 2009, SOSP '09.
[46] Ion Stoica,et al. Efficient coflow scheduling with Varys , 2015, SIGCOMM.
[47] Scott Shenker,et al. Choosy: max-min fair sharing for datacenter jobs with constraints , 2013, EuroSys '13.
[48] Vyas Sekar,et al. Via: Improving Internet Telephony Call Quality Using Predictive Relay Selection , 2016, SIGCOMM.
[49] Dan Suciu,et al. Parallel evaluation of conjunctive queries , 2011, PODS.