{ "data_id": "42365", "name": "optical_interconnection_network", "exact_name": "optical_interconnection_network", "version": 1, "version_label": "1", "description": "``**Author**: Cigdem Inan Aci\",\"Mehmet Fatih Akay \r\n**Source**: UCI - [original](http:\/\/archive.ics.uci.edu\/ml\/datasets\/Optical+Interconnection+Network+) - Date unknown \r\n**Please cite**: \r\n\r\n*** Optical Interconnection Network Data Set***\r\n\r\n### Data Set Information\r\n\r\nAll simulations have done under the software named OPNET Modeler. Message passing is used as the communication mechanism in which any processor can submit to the network a point-to-point message destined at any other processor. M\/M\/1 queue is considered in the calculations which consist of a First-in First-Out buffer with packet arriving randomly according to a Poisson arrival process, and a processor, that retrieves packets from the buffer at a specified service rate. In all simulations, it is assumed that the processor at each node extracts a packet from an input queue, processes it for a period of time and when that period expires, it generates an output data message. The size of each input queue is assumed as infinite. A processor becomes idle only when all its input queues are empty.\r\n\r\n### Attribute Information \r\n\r\n1. Node Number: The number of the nodes in the network. (8x8 or 4x4).`\r\n2. Thread Number: The number of threads in each node at the beginning of the simulation.`\r\n3. Spatial Distribution: The performance of the network is evaluated using synthetic traffic workloads. Uniform (UN), Hot Region (HR), Bit reverse (BR) and Perfect Shuffle (PS) traffic models have been included.`\r\n4. Temporal Distribution: Temporal distribution of packet generation is implemented by independent traffic sources. In our simulations, we utilized client\u00e2\u20ac\u201cserver traffic (i.e., a server node sends packets to respond to the reception of packets from clients) and asynchronous traffic (i.e., initially, all nodes generate traffic independently of the others; as time progresses, traffic generation at the source\/destination nodes depends`\r\n5. on the receipt of messages from destination\/source nodes).`\r\n6. T\/R: Message transfer time (T ) Uniformly distributed with mean in range from 20 to 100 clock cycles. Thread run time (R) Exponentially distributed with a mean of 100 clock cycles.`\r\n7. Processor Utilization: The average processor utilization measures the percent of time that threads are running in the processor.`\r\n8. Channel Waiting Time: Average waiting time of a packet at the output channel queue until it is serviced by the channel.`\r\n9. Input Waiting Time: Average waiting time of a packet until it is serviced by the processor.`\r\n10. Network Response Time: The time between a request message is enqueued at the output channel and the corresponding data message is received in the input queue.`\r\n11. Channel Utilization: The percent of time that the channel is busy transferring packets to the network.`\r\n", "format": "ARFF", "uploader": "Rafael Gomes Mantovani", "uploader_id": 64, "visibility": "public", "creator": "\"Cigdem Inan Aci\",\"Mehmet Fatih Akay\"", "contributor": null, "date": "2020-04-19 02:47:04", "update_comment": null, "last_update": "2020-04-19 02:47:04", "licence": "CC0", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21829187\/optical_interconnection_network.arff", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "optical_interconnection_network", "``**Author**: Cigdem Inan Aci\",\"Mehmet Fatih Akay ### Data Set Information All simulations have done under the software named OPNET Modeler. Message passing is used as the communication mechanism in which any processor can submit to the network a point-to-point message destined at any other processor. M\/M\/1 queue is considered in the calculations which consist of a First-in First-Out buffer with packet arriving randomly according to a Poisson arrival process, and a processor, that retrieves pack " ], "weight": 5 }, "qualities": { "NumberOfInstances": 640, "NumberOfFeatures": 10, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 8, "NumberOfSymbolicFeatures": 2, "Dimensionality": 0.015625, "PercentageOfNumericFeatures": 80, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 20, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 1, "PercentageOfBinaryFeatures": 10, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Computational Universe" }, { "uploader": "38960", "tag": "Computer Systems" } ], "features": [ { "name": "Node_Number", "index": "0", "type": "numeric", "distinct": "2", "missing": "0", "min": "16", "max": "64", "mean": "40", "stdev": "24" }, { "name": "Thread_Number", "index": "1", "type": "numeric", "distinct": "4", "missing": "0", "min": "4", "max": "10", "mean": "7", "stdev": "2" }, { "name": "Spatial_Distribution", "index": "2", "type": "nominal", "distinct": "4", "missing": "0", "distr": [] }, { "name": "Temporal_Distribution", "index": "3", "type": "nominal", "distinct": "2", "missing": "0", "distr": [] }, { "name": "T_R", "index": "4", "type": "numeric", "distinct": "10", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "Processor_Utilization", "index": "5", "type": "numeric", "distinct": "624", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "Channel_Waiting_Time", "index": "6", "type": "numeric", "distinct": "640", "missing": "0", "min": "1", "max": "1627", "mean": "377", "stdev": "382" }, { "name": "Input_Waiting_Time", "index": "7", "type": "numeric", "distinct": "640", "missing": "0", "min": "33", "max": "893", "mean": "333", "stdev": "234" }, { "name": "Network_Response_Time", "index": "8", "type": "numeric", "distinct": "640", "missing": "0", "min": "1", "max": "6066", "mean": "1504", "stdev": "1203" }, { "name": "Channel_Utilization", "index": "9", "type": "numeric", "distinct": "627", "missing": "0", "min": "0", "max": "2895", "mean": "26", "stdev": "224" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }