🤑 Enabling Site-Aware Scheduling for Apache Storm in ExoGENI | ExoGENI

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Apache Storm is a free and open source distributed real-time In each Worker Slot, Storm can spawn multiple threads, referred to as Executors.


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A topology in Apache Storm defines a DAG, which represents the structure This scheduling produces slots with an equal number of executors and Li, T., Xu, Z., Tang, J., Wang, Y.: Model-free control for distributed stream.


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The current state of the storm cluster. Cluster is not currently Free the specified slot. Get all the available worker slots in the cluster, that are not blacklisted.


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This portion of the Storm UI shows the version of Storm deployed in the cluster, the uptime of the Nimbus nodes, number of free worker slots, number of used.


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Note that the equals method is rewritten here, and compared according to startTask and endTask, the main requirement is the previous set comparison operation. It mainly allocates slots to Executor Details that need to be allocated. ExecutorDetails storm The process of scheduling is actually to assign tasks labeled staskTask and endTask to slot s for processing. Talk about mkAssignments of storm nimbus order This paper mainly studies mkAssignments of storm nimbus Nimbus. Even Scheduler adopts robbin round strategy. After allocation, there are two operations in lockingMkAssignments, one is state.{/INSERTKEYS}{/PARAGRAPH} The allocation process is actually to allocate slot s to these task s. {PARAGRAPH}{INSERTKEYS}Programmer Help Where programmers get help. Then the missing Assignment Topologies are calculated by comparing the number of woker s and executor s required by the topology configuration with the existing assignment. The executor must unassigned before it can be assigned to another slot! Traverse the new Assignments, and if the assignment changes, call state. There are two attributes in ExecutorDetail, one is startTask and the other is endTask. For each reassignExecutor, slots are allocated according to reassignSlots.