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optical_interconnection_network

optical_interconnection_network

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-04-2020 by Rafael Gomes Mantovani
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``Author: Cigdem Inan Aci","Mehmet Fatih Akay Source: UCI - [original](http://archive.ics.uci.edu/ml/datasets/Optical+Interconnection+Network+) - Date unknown Please cite: * Optical Interconnection Network Data Set* ### 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 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. ### Attribute Information 1. Node Number: The number of the nodes in the network. (8x8 or 4x4).` 2. Thread Number: The number of threads in each node at the beginning of the simulation.` 3. 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.` 4. Temporal Distribution: Temporal distribution of packet generation is implemented by independent traffic sources. In our simulations, we utilized client–server 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` 5. on the receipt of messages from destination/source nodes).` 6. 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.` 7. Processor Utilization: The average processor utilization measures the percent of time that threads are running in the processor.` 8. Channel Waiting Time: Average waiting time of a packet at the output channel queue until it is serviced by the channel.` 9. Input Waiting Time: Average waiting time of a packet until it is serviced by the processor.` 10. 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.` 11. Channel Utilization: The percent of time that the channel is busy transferring packets to the network.`

10 features

Node_Numbernumeric2 unique values
0 missing
Thread_Numbernumeric4 unique values
0 missing
Spatial_Distributionnominal4 unique values
0 missing
Temporal_Distributionnominal2 unique values
0 missing
T_Rnumeric10 unique values
0 missing
Processor_Utilizationnumeric624 unique values
0 missing
Channel_Waiting_Timenumeric640 unique values
0 missing
Input_Waiting_Timenumeric640 unique values
0 missing
Network_Response_Timenumeric640 unique values
0 missing
Channel_Utilizationnumeric627 unique values
0 missing

19 properties

640
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
8
Number of numeric attributes.
2
Number of nominal attributes.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
10
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
80
Percentage of numeric attributes.
0.02
Number of attributes divided by the number of instances.
20
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.

8 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Channel_Utilization
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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