Frequency of Call Logs-A Dataset Used In Fog Computing

Published: 6 March 2019| Version 1 | DOI: 10.17632/y9h65nhkdz.1
Contributor:
Simar Preet Singh

Description

The dataset comprises the following fields: 1. RegistrationID: This represents the registration id that is generated when any new call is initiated. 2. ID: The ID is linked with the customer who makes the call. 3. Date: This field shows the date of making the call. For our simulation, we have considered date to be in last 3 months i.e. from 6th December, 2018 to 6th March, 2019. 4. CallEvent: Call event field depicts the event id when the call is initiated. 5. M: M represents the source mobile. Here we are considering M as the user's mobile number from where the call has been initiated. 6. M1: M1 represents the mobile number. This field is considered as Mobile number 1 i.e. the first mobile number who gets the call from M (source mobile). 7. M2: In the same way, M2 also shows the mobile number. This field is considered as Mobile number 2 i.e. the second mobile number who gets the call from M (source mobile). 8. M3: M3 shows the called mobile number. This field is considered as Mobile number 3 i.e. the third mobile number who gets the call from M (source mobile). 9. M4: M4 also shows the called mobile number. This field is considered as Mobile number 4 i.e. the fourth mobile number who gets the call from M (source mobile). This dataset represents the frequency of call details where M (source) calls to M1, M2, M3 and M4 on perticluar date with particular ID, RegistrationID and CallEvent.

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Steps to reproduce

The fields can be reproduced again using the following ways: 1. RegistrationID: We have generated random number that looks like the registrationID and have concatenated the random numbers with '#' symbol. Random numbers are generated using https://www.randomcodegenerator.com/en/generate-codes. 2. ID: ID is generated randomly using https://www.randomcodegenerator.com/en/generate-codes. We have put the condition on this link that ID must be in numeric format. 3. Date: Last 3 months date is randomly generated using https://www.random.org/calendar-dates/?num=25&start_day=6&start_month=12&start_year=2018&end_day=6&end_month=3&end_year=2019&mondays=on&tuesdays=on&wednesdays=on&thursdays=on&fridays=on&saturdays=on&sundays=on&display=0&format=html&rnd=new. All days included. Maximum 25 enteries are generated at one time. So we have run this 20 times to generated 500 dates. 4. CallEvent: CallEvent is a numeric field that is randomly generated using https://www.randomcodegenerator.com/en/generate-codes. 5. M, M1, M2, M3 and M4: These field represents mobile numbers. The mobile numbers are randomly generated using http://convertcsv.com/generate-test-data.htm.

Institutions

Thapar University

Categories

Statistics, Combinatorics, Informal Economy, Bayesian Statistics, Inferential Statistics, Cluster Computing, Informatics, Inclusion, Fog Computing

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