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WiMi Developed IoT-LocalSense to Optimize IoT Data Scheduling
BEIJING, Sept. 19, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR")
About this update from Wimi Hologram Cloud Inc.
[{"type":"text","content":"BEIJING, Sept. 19, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced that it developed IoT-LocalSense algorithm, which optimizes the load balancing problem, improves the task localization execution rate, reduces non-local execution and load imbalance, optimizes resource utilization, and further enhances the performance of IoT cluster systems.\n\nIn IoT computing environments, data scheduling involves distributing the input data of a job to various compute and storage nodes. If the data matching deviation is severe, it may lead to non-local execution of data scheduling, which increases the task execution time and resource consumption. At the same time, load imbalance may lead to overloading of some nodes and light loading of other nodes, which affects the overall performance of the system and resource utilization efficiency. The principle:\nData placement module: Through the processing capacity assessment of the IoT work nodes, the data placement algorithm is designed to reasonably distribute the input data of the job in the computing nodes and storage nodes. Meanwhile, considering the localization of data, relevant data are placed near the computing nodes to reduce data transmission overhead and delay.\nData scheduling optimization module: Optimize the data scheduling by using the data block storage location information to make it more likely that tasks will be executed in local nodes during execution, reducing the frequency of non-local execution. It also balances the load of each node in the cluster, ensures that tasks are evenly distributed throughout the cluster, and optimizes the utilization efficiency of system resources.\nAdvantages of the IoT-LocalSense algorithm:\nImproving task localized execution rate: Through data placement algorithms and data scheduling optimization, the IoT-LocalSense algorithm can effectively improve the local execution rate of tasks on compute nodes. The local storage of relevant data enables tasks to access the data quickly, reducing the need for data transfer and thus speeding up task execution.\nReducing non-local execution: The IoT-LocalSense algorithm puts the data required for non-local data scheduling into the local storage of the compute node in advance throu...