Optimal Capacity Allocation for Executing MapReduce Jobs in Cloud Systems
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Alessandro Maria Rizzi | Danilo Ardagna | Ali Movaghar-Rahimabadi | Mauro Passacantando | Marzieh Malekimajd | Michele Ciavotta | D. Ardagna | M. Ciavotta | A. Movaghar | M. Passacantando | A. M. Rizzi | M. Malekimajd
[1] Magdalena Balazinska,et al. Estimating the progress of MapReduce pipelines , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[2] Daniel A. Menascé,et al. Queuing Network Models to Predict the Completion Time of the Map Phase of MapReduce Jobs , 2012, Int. CMG Conference.
[3] Mauro Iacono,et al. Exploiting mean field analysis to model performances of big data architectures , 2014, Future Gener. Comput. Syst..
[4] Magdalena Balazinska,et al. ParaTimer: a progress indicator for MapReduce DAGs , 2010, SIGMOD Conference.
[5] Insup Lee,et al. An empirical analysis of scheduling techniques for real-time cloud-based data processing , 2011, 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA).
[6] Boon Thau Loo,et al. Exploiting cloud heterogeneity for optimized cost/performance MapReduce processing , 2014, CloudDP '14.
[7] Minghong Lin,et al. Joint optimization of overlapping phases in MapReduce , 2013, PERV.
[8] Danilo Ardagna,et al. Generalized Nash equilibria for SaaS/PaaS Clouds , 2014, Eur. J. Oper. Res..
[9] Roy H. Campbell,et al. ARIA: automatic resource inference and allocation for mapreduce environments , 2011, ICAC '11.
[10] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[11] Boon Thau Loo,et al. Automated profiling and resource management of pig programs for meeting service level objectives , 2012, ICAC '12.
[12] Barbara Panicucci,et al. Generalized Nash Equilibria for the Service Provisioning Problem in Cloud Systems , 2013, IEEE Transactions on Services Computing.
[13] Evgenia Smirni,et al. Heterogeneous cores for MapReduce processing: Opportunity or challenge? , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).
[14] Sanjay Ghemawat,et al. MapReduce: simplified data processing on large clusters , 2008, CACM.
[15] Carlo Curino,et al. Apache Hadoop YARN: yet another resource negotiator , 2013, SoCC.
[16] Roy H. Campbell,et al. Resource Provisioning Framework for MapReduce Jobs with Performance Goals , 2011, Middleware.
[17] Quanyan Zhu,et al. Dynamic Service Placement in Geographically Distributed Clouds , 2012, IEEE Journal on Selected Areas in Communications.
[18] Yon Dohn Chung,et al. Parallel data processing with MapReduce: a survey , 2012, SGMD.
[19] Keke Chen,et al. Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds , 2011, 2011 IEEE 4th International Conference on Cloud Computing.
[20] Kevin Wilkinson,et al. Analytical Performance Models for MapReduce Workloads , 2012, International Journal of Parallel Programming.