Memory-based scheduling of scientific computing clusters
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[1] J. Little. A Proof for the Queuing Formula: L = λW , 1961 .
[2] J D Littler,et al. A PROOF OF THE QUEUING FORMULA , 1961 .
[3] H. Popper,et al. The goal. , 1967, Journal of the Mount Sinai Hospital, New York.
[4] Chuen-Chien Lee. FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .
[5] Chuen-Chien Lee,et al. Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..
[6] Hamid R. Arabnia. A transputer-based reconfigurable parallel system , 1993 .
[7] Hamid R. Arabnia,et al. The REFINE Multiprocessor - Theoretical Properties and Algorithms , 1995, Parallel Comput..
[8] Bhaba R. Sarker,et al. A Review of:“Factory Physics: Foundations of Manufacturing Management” Wallace J. Hopp and Mark L. Spearman Richard D. Irwin, Inc., 1996 , 1997 .
[9] Jeff Edmonds,et al. Scheduling in the dark , 1999, STOC '99.
[10] Ivo Bolsens,et al. Proceedings of the conference on Design, Automation & Test in Europe , 2000 .
[11] S. Mrenna,et al. Pythia 6.3 physics and manual , 2003, hep-ph/0308153.
[12] Dror G. Feitelson,et al. Utilization, Predictability, Workloads, and User Runtime Estimates in Scheduling the IBM SP2 with Backfilling , 2001, IEEE Trans. Parallel Distributed Syst..
[13] Amin Vahdat,et al. Managing energy and server resources in hosting centers , 2001, SOSP.
[14] Klara Nahrstedt,et al. Integration of dynamic voltage scaling and soft real-time scheduling for open mobile systems , 2002, NOSSDAV '02.
[15] Francisco Vilar Brasileiro,et al. Trading Cycles for Information: Using Replication to Schedule Bag-of-Tasks Applications on Computational Grids , 2003, Euro-Par.
[16] Kevin C. Almeroth,et al. Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video , 2003 .
[17] Subhash Saini,et al. GridFlow: workflow management for grid computing , 2003, CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings..
[18] Francisco Vilar Brasileiro,et al. Exploiting Replication and Data Reuse to Efficiently Schedule Data-Intensive Applications on Grids , 2004, JSSPP.
[19] Arun Agarwal,et al. Fuzzy based resource management framework for high throughput computing , 2004, IEEE International Symposium on Cluster Computing and the Grid, 2004. CCGrid 2004..
[20] Wei Zhang,et al. Reducing instruction cache energy consumption using a compiler-based strategy , 2004, TACO.
[21] Xiaodong Li,et al. Performance directed energy management for main memory and disks , 2004, ASPLOS XI.
[22] Mehrdad Nourani,et al. SoC test scheduling with power-time tradeoff and hot spot avoidance , 2004, Proceedings Design, Automation and Test in Europe Conference and Exhibition.
[23] Jinquan Zhang,et al. A Heuristic Algorithm for Task Scheduling Based on Mean Load , 2005, 2005 First International Conference on Semantics, Knowledge and Grid.
[24] Dan Tsafrir,et al. Modeling User Runtime Estimates , 2005, JSSPP.
[25] G. N. Srinivasa Prasanna,et al. The optimal control approach to generalized multiprocessor scheduling , 2005, Algorithmica.
[26] David K. Lowenthal,et al. Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs , 2005, ACM/IEEE SC 2005 Conference (SC'05).
[27] Emmanuel Medernach,et al. Workload Analysis of a Cluster in a Grid Environment , 2005, JSSPP.
[28] Yuanyuan Zhou,et al. Hibernator: helping disk arrays sleep through the winter , 2005, SOSP '05.
[29] Michael Franz,et al. Power reduction techniques for microprocessor systems , 2005, CSUR.
[30] Xiaoyun Zhu,et al. Triage: Performance differentiation for storage systems using adaptive control , 2005, TOS.
[31] Wagner Meira,et al. AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs , 2005, JSSPP.
[32] Rong Ge,et al. Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters , 2005, ACM/IEEE SC 2005 Conference (SC'05).
[33] Dan Tsafrir,et al. A Short Survey of Commercial Cluster Batch Schedulers , 2005 .
[34] Mary Jane Irwin,et al. Energy/performance modeling for collective communication in 3-D torus cluster networks , 2006, SC.
[35] Jeffrey S. Chase,et al. Active and accelerated learning of cost models for optimizing scientific applications , 2006, VLDB.
[36] David P. Bunde. Power-aware scheduling for makespan and flow , 2006, SPAA '06.
[37] Elad Yom-Tov,et al. A Self-optimized Job Scheduler for Heterogeneous Server Clusters , 2007, JSSPP.
[38] Ruyan Fu,et al. Online scheduling in a parallel batch processing system to minimize makespan using restarts , 2007, Theor. Comput. Sci..
[39] Ajith Abraham,et al. MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS FOR SCHEDULING JOBS ON COMPUTATIONAL GRIDS , 2007 .
[40] Mahmoud Pegah,et al. The wild wild waste: e-waste , 2007, SIGUCCS.
[41] Xiaorui Wang,et al. Server-Level Power Control , 2007, Fourth International Conference on Autonomic Computing (ICAC'07).
[42] Dan Tsafrir,et al. Backfilling Using System-Generated Predictions Rather than User Runtime Estimates , 2007, IEEE Transactions on Parallel and Distributed Systems.
[43] Ger Koole,et al. Resource allocation in grid computing , 2008, J. Sched..
[44] Jarek Nabrzyski,et al. A multicriteria approach to two-level hierarchy scheduling in grids , 2008, J. Sched..
[45] Tajana Simunic,et al. Temperature-aware MPSoC scheduling for reducing hot spots and gradients , 2008, 2008 Asia and South Pacific Design Automation Conference.
[46] P. Borne,et al. Multi-objective Scheduling onto Heterogeneous Processors System Using Ant System & Fuzzy Logic Controller , 2008 .
[47] F. Fabozzi,et al. Physics Analysis Tools for the CMS Experiment at LHC , 2008, IEEE Transactions on Nuclear Science.
[48] Ahmed Amer,et al. Predictive data grouping: Defining the bounds of energy and latency reduction through predictive data grouping and replication , 2008, TOS.
[49] Philip S. Yu,et al. Temperature-Aware Scheduling: When is System-Throttling Good Enough? , 2008, 2008 The Ninth International Conference on Web-Age Information Management.
[50] Soonhoi Ha,et al. Proceedings of the 2008 Asia and South Pacific Design Automation Conference , 2008, ASP-DAC 2008.
[51] Hesham El-Rewini,et al. On the use of meta-heuristics to increase the efficiency of online grid workflow scheduling algorithms , 2008, Cluster Computing.
[52] Patricia J. Teller,et al. Proceedings of the 2008 ACM/IEEE conference on Supercomputing , 2008, HiPC 2008.
[53] Rosario M. Piro,et al. Using historical accounting information to predict the resource usage of grid jobs , 2009, Future Gener. Comput. Syst..
[54] Ayan Banerjee,et al. Spatio-temporal thermal-aware job scheduling to minimize energy consumption in virtualized heterogeneous data centers , 2009, Comput. Networks.
[55] Simone A. Ludwig,et al. Using artificial life techniques for distributed grid job scheduling , 2009, SAC '09.
[56] Chien-Min Wang,et al. Bi-objective Optimization: An Online Algorithm for Job Assignment , 2009, GPC.
[57] Tapio Niemi,et al. Improving Energy-Efficiency of Grid Computing Clusters , 2009, GPC.
[58] Paola Lecca,et al. A new probabilistic generative model of parameter inference in biochemical networks , 2009, SAC '09.
[59] Manish Marwah,et al. Data analysis, visualization and knowledge discovery in sustainable data centers , 2009, COMPUTE '09.
[60] David P. Bunde. Power-aware scheduling for makespan and flow , 2009, J. Sched..
[61] A. Abraham,et al. Scheduling jobs on computational grids using a fuzzy particle swarm optimization algorithm , 2010, Future Gener. Comput. Syst..
[62] David J. Brown,et al. Toward Energy-Efficient Computing , 2010, ACM Queue.
[63] Tapio Niemi,et al. Applying Operations Management Principles on Optimisation of Scientific Computing Clusters , 2011 .
[64] Edwin V. Bonilla,et al. Predicting best design trade-offs: A case study in processor customization , 2012, 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[65] Fuzzy Logic in Control Systems : Fuzzy Logic , 2022 .