PPT-Altruistic Scheduling in Multi-Resource Clusters

Robert Grandl Mosharaf Chowdhury Aditya Akella Ganesh Ananthanarayanan Carbyne Performance of Cluster Schedulers We observe that Existing cluster schedulers focus on instantaneous fairness. App Workloads: Google, . Facebook. , Microsoft. Aditya Akella. Lecture 11. A First Look at Inter-DC Characteristics via Yahoo! Datasets, . Infocom. 2011. Toward Characterizing Cloud Backend Workloads, . High-Availability Linux. Concepts of Linux-HA. Reliability. Availability. Serviceability. HA Clusters. What are HA clusters?. High-availability clusters are groups of computers that support sever applications that can be reliably utilized with a minimum of down-time.. Manufacturing . Systems. By . Djamila. . Ouelhadj. and . Sanja. . Petrovic. Okan Dükkancı. 02.12.2013. Introduction. Dynamic . environments . with inevitable unpredictable real time events. ;. Machine failures . Reference:. Mesos. : A Platform for Fine-Grained Resource Sharing in the Data Center NSDI’2011. Multi-agent Cluster Scheduling for Scalability and. Flexibility. . Berkerly. . techdoc. EECS-2012-273. (doctoral dissertation). An Efficient Approach for Scheduling Parameter Sweep Applications. Rohan Kurian, Pavan Balaji, P. Sadayappan. The Ohio State University. Parameter Sweep Applications. An important class of applications. Dr. Ahmed Elyamany. Outline. Definition of Resources. Resource Aggregation/Loading. Problems Associated with Resource. Resource Leveling. Resource Scheduling. What a resource?. Any thing that is used by an activity to get the work done, such as: Material, Equipment, Labor, Money, …... Burst Buffer Enabled HPC Clusters. Chunxiao. Liao. 1. Background. High performance storage is critical to achieving computational efficiency on high performance computing (HPC) systems. . Capacity growth of disks continues to outpace increases in their bandwidth. Robert . Grandl. , University of Wisconsin—Madison; . Mosharaf. Chowdhury, University of Michigan; Aditya . Akella. , University of Wisconsin—Madison; Ganesh . Ananthanarayanan. , Microsoft. Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16). P. ublished in . Nature, . 2002. Ernst Fehr. University of Zurich. Simon . Gaechter. University of St. . Gallen. Why does society tend to be like this, rather than…. Like this???. Sorry, couldn’t resist…. Malte. . Schwarzkopf, . Andy . Konwinski. ,. . Michael . Abd. -El-. Malek. , . John . Wilkes. Presented by Muhammed Uluyol. EECS 582 – W16. 1. *Some graphics from John . Wilkes’ CMU presentation. for High-End CPU-GPU Architectures. Vignesh. Ravi. Dept. of Computer Science and Engineering. Advisor: . Gagan. . Agrawal. 1. The Death of Single-core CPU Scaling. 2. The Landscape of Computing – Moore’s Law. Problem. What is it?. Implementation. Benefits. Experimentation. Findings. Other Scheduling Algorithms. Conclusion. . Outline. Problem. “Scheduling computations in multi-threaded systems is complex, and challenging problem.”. Panwadee Tangpattanakul, Nicolas Jozefowiez, Pierre Lopez. LAAS-CNRS. Toulouse, France. 6th Workshop on Computational Optimization (WCO'13). Kraków, Poland. 8 September 2013. Contents. Introduction. chem. Senior expert, Researcher. 2022-09-19. Tier2 CMS Status (T2_LV_HPCNET ). Current Project Tasks. Aleksandrs Gutcaits. Setting up of Latvian Tier2 data center (ARC Computing Element) for CERN CMS experiments. .