Literature DB >> 29541680

Data on the key performance indicators for quality of service of GSM networks in Nigeria.

Segun I Popoola1, Aderemi A Atayero1, Nasir Faruk2, Joke A Badejo1.   

Abstract

In this data article, the Key Performance Indicators (KPIs) for Quality of Service (QoS) of Global System for Mobile Communications (GSM) networks in Nigeria are provided and analyzed. The data provided in this paper contain the Call Setup Success Rate (CSSR), Drop Call Rate (DCR), Stand-alone Dedicated Channel (SDCCH) congestion, and Traffic Channel (TCH) congestion for the four GSM network operators in Nigeria (Airtel, Etisalat, Glo, and MTN). These comprehensive data were obtained from the Nigerian Communications Commission (NCC). Significant differences in each of the KPIs for the four quarters of each year were presented based on Analysis of Variance (ANOVA). The values of the KPIs were plotted against the months of the year for better visualization and understanding of data trends across the four quarters. Multiple comparisons of the mean-quarterly differences of the KPIs were also presented using Tukey's Post Hoc test. Public availability and further interpretation and discussion of these useful information will assist the network providers, Nigerian government, local and international regulatory bodies, policy makers, and other stakeholders in ensuring access of people, machines, and things to high quality telecommunications services.

Entities:  

Keywords:  Call setup success rate; Drop call rate; GSM networks; Quality of service; Stand-alone dedicated channel congestion; Traffic channel congestion

Year:  2017        PMID: 29541680      PMCID: PMC5849583          DOI: 10.1016/j.dib.2017.12.005

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The mobile network providers, the Nigerian government, local and international regulatory bodies, telecommunication policy makers, and other stakeholders in the telecommunication industry in Nigeria, Africa, and the world will find the analyses of the data provided in this article to be most useful [1]. The importance of the analysis of these data is usually needful for appropriate regulations and quality assurance [2]. Researchers in both academia and telecommunication industry can further explore and interpret the data provided in this article to solve QoS-related issues in GSM networks [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]. The major trends in these data and the statistical analyses will help GSM network subscribers to benchmark the services offered by the mobile network operators [13], [14], [15]. Contextual interpretation and discussion of the data will help mobile network operators to gain accurate and deep understanding of the QoS offered across the months and quarters of the year [16].

Data

Accurate radio network planning is essential for good Quality of Service (QoS) [16], [17], [18]. The Key Performance Indicators (KPIs) for QoS of Global System for Mobile Communications (GSM) networks in Nigeria presented in this article were collected from Nigerian Communications Commission (NCC). These KPIs include Call Setup Success Rate (CSSR), Drop Call Rate (DCR), Stand-alone Dedicated Channel (SDCCH) congestion, and Traffic Channel (TCH) congestion for the four GSM network operators in Nigeria (Airtel, Etisalat, Glo, and MTN). The raw data were measured during busy hours at the Base Station Controller (BSC) layer and analyzed based on monthly and quarterly mean values to gain useful insights on the QoS provided by each of the mobile network operators. The data covers KPIs that were measured monthly from January, 2014 to December, 2016. Table 1, Table 2 present the summary of the general descriptive statistics (total number of samples, mean, median. mode, minimum, maximum, mean absolute deviation, standard deviation, first and third quartile, kurtosis, and skewness) of the dataset. In addition, Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6, Fig. 7, Fig. 8, Fig. 9, Fig. 10, Fig. 11, Fig. 12 show the trends of monthly variations in CSSR, DCR, SDCCH congestion, and TCH congestion for Airtel, Etisalat, Glo, and MTN throughout the three-year data coverage.
Table 1

Measure of central tendency of QoS KPIs of GSM network operators.

QoS IndexMobile network operatorTotal sampleMeanMedianModeMinMax
CSSRAirtel3698.02498.13598.0896.72098.710
Etisalat3699.17399.2299.1898.39099.390
Glo3698.18798.2298.0896.89098.650
MTN3698.30098.5597.1296.85099.080
DCRAirtel360.7400.7400.6900.6000.860
Etisalat360.5470.5300.5400.2700.860
Glo360.6550.5500.5000.4001.430
MTN360.8520.7700.7200.4501.430
SDCCH congestionAirtel360.2510.1800.1600.0900.790
Etisalat360.1200.1100.0900.0300.330
Glo360.9470.5800.1400.1302.320
MTN360.2130.1400.1200.0800.730
TCH congestionAirtel360.4240.3250.3200.1200.990
Etisalat360.2290.1900.1900.0800.980
Glo361.0871.0200.6900.5801.740
MTN360.4990.4000.2500.2501.270
Table 2

Measure of data dispersion of QoS KPIs of GSM network operators.

Mobile network operatorMean absolute deviationStandard deviationQ1Q3KurtosisSkewness
CSSRAirtel0.3800.50597.89598.3603.536−1.180
Etisalat0.1240.18199.09599.27510.831−2.337
Glo0.1990.32798.09098.3409.717−2.276
MTN0.6360.75697.54098.9552.009−0.741
DCRAirtel0.0540.0670.6950.7902.310−0.085
Etisalat0.0820.1190.4700.5754.2850.911
Glo0.1900.2320.5000.8204.9131.411
MTN0.2420.2870.6451.1751.9510.497
SDCCH congestionAirtel0.1320.1730.1500.3004.5701.578
Etisalat0.0350.0570.0900.1308.2912.184
Glo0.7060.7530.2251.6951.4270.290
MTN0.1210.1650.1200.2255.5341.861
TCH congestionAirtel0.1830.2400.2750.4803.2811.111
Etisalat0.0910.1570.1500.26015.8053.298
Glo0.3240.3720.7451.4801.6510.303
MTN0.1910.2520.3100.5854.5951.481
Fig. 1

Monthly mean CSSR for the mobile network operators in 2014.

Fig. 2

Monthly mean CSSR for the mobile network operators in 2015.

Fig. 3

Monthly mean CSSR for the mobile network operators in 2016.

Fig. 4

Monthly mean DCR for the mobile network operators in 2014.

Fig. 5

Monthly mean DCR for the mobile network operators in 2015.

Fig. 6

Monthly mean DCR for the mobile network operators in 2016.

Fig. 7

Monthly mean SDCCH congestion for the mobile network operators in 2014.

Fig. 8

Monthly mean SDCCH congestion for the mobile network operators in 2015.

Fig. 9

Monthly mean SDCCH congestion for the mobile network operators in 2016.

Fig. 10

Monthly mean TCH congestion for the mobile network operators in 2014.

Fig. 11

Monthly mean TCH congestion for the mobile network operators in 2015.

Fig. 12

Monthly mean TCH congestion for the mobile network operators in 2016.

Monthly mean CSSR for the mobile network operators in 2014. Monthly mean CSSR for the mobile network operators in 2015. Monthly mean CSSR for the mobile network operators in 2016. Monthly mean DCR for the mobile network operators in 2014. Monthly mean DCR for the mobile network operators in 2015. Monthly mean DCR for the mobile network operators in 2016. Monthly mean SDCCH congestion for the mobile network operators in 2014. Monthly mean SDCCH congestion for the mobile network operators in 2015. Monthly mean SDCCH congestion for the mobile network operators in 2016. Monthly mean TCH congestion for the mobile network operators in 2014. Monthly mean TCH congestion for the mobile network operators in 2015. Monthly mean TCH congestion for the mobile network operators in 2016. Measure of central tendency of QoS KPIs of GSM network operators. Measure of data dispersion of QoS KPIs of GSM network operators.

Materials and methods

The relationships between CSSR, DCR, SDCCH congestion, and TCH congestion of Airtel, Etisalat, Glo, and MTN were estimated using linear correlation. The correlation matrices are presented in Table 3, Table 4, Table 5, Table 6. ANOVA tests were also performed for all the QoS KPIs presented in this data article to identify the differences among the quarterly-means for each of the mobile network operators. Table 7, Table 8, Table 9, Table 10 presents the ANOVA test results for CSSR, DCR, SDCCH congestion, and TCH congestion respectively. The significant differences in the quarterly-means of the QoS KPIs were further investigated based on multiple comparison using Tukey's Post Hoc test at 95% Confidence Interval. The results of the comparisons are presented in Table 11, Table 12, Table 13. The data analyzed in this article are made available in Table 14, Table 15, Table 16, Table 17, Table 18.
Table 3

Correlation matrix for CSSR.

Mobile network operatorAirtelEtisalatGloMTN
Airtel1
Etisalat0.0711521191
Glo0.195841509−0.0678863191
MTN0.2343792010.3622043360.4188159391
Table 4

Correlation matrix for DCR.

Mobile network operatorAirtelEtisalatGloMTN
Airtel1
Etisalat0.2797936911
Glo0.1441834190.4092436091
MTN0.1996284890.299641560.6519515521
Table 5

Correlation matrix for SDCCH congestion.

Mobile network operatorAirtelEtisalatGloMTN
Airtel1
Etisalat0.5247176391
Glo−0.0368162390.0936736751
MTN0.5654373620.7527458190.0257143451
Table 6

Correlation matrix for TCH congestion.

Mobile network operatorAirtelEtisalatGloMTN
Airtel1
Etisalat0.149809231
Glo0.143774356−0.0663261131
MTN0.5566044540.0245295840.1462389761
Table 7

ANOVA for CSSR.

Source of variationSum of squaresDegree of freedomMean squaresF statisticP-value
AirtelQuarters3.08016431.0267215.6234950.003264
Error5.842467320.182577
Total8.92263135
EtisalatQuarters0.05927530.0197580.5840860.629807
Error1.082489320.033828
Total1.14176435
GloQuarters0.42130.1403331.3497650.275728
Error3.327320.103969
Total3.74835
MTNQuarters2.20720830.7357361.3216110.284484
Error17.81429320.556697
Total20.021535
Table 8

ANOVA for DCR.

Source of variationSum of squaresDegree of freedomMean squaresF statisticP-value
AirtelQuarters0.03163130.0105442.6469080.065774
Error0.127467320.003983
Total0.15909735
EtisalatQuarters0.02197830.0073260.4910320.690992
Error0.477422320.014919
Total0.499435
GloQuarters0.04780830.0159360.2776190.841112
Error1.836889320.057403
Total1.88469735
MTNQuarters0.11753330.0391780.4524830.717324
Error2.770689320.086584
Total2.88822235
Table 9

ANOVA for SDCCH congestion.

Source of variationSum of squaresDegree of freedomMean squaresF statisticP-value
AirtelQuarters0.196530.06552.4685280.079868
Error0.849089320.026534
Total1.04558935
EtisalatQuarters0.01694230.0056471.8561970.156919
Error0.097356320.003042
Total0.11429735
GloQuarters0.52338930.1744630.2891550.83288
Error19.30733320.603354
Total19.8307235
MTNQuarters0.10363130.0345441.2997820.291458
Error0.850444320.026576
Total0.95407535
Table 10

ANOVA for TCH congestion.

Source of variationSum of squaresDegree of freedomMean squaresF statisticP-value
AirtelQuarters0.61017830.2033934.6419740.008351
Error1.402111320.043816
Total2.01228935
EtisalatQuarters0.14187830.0472932.0842030.121863
Error0.726111320.022691
Total0.86798935
GloQuarters0.05651130.0188370.1261610.943923
Error4.777889320.149309
Total4.834435
MTNQuarters0.09326730.0310890.4670.707347
Error2.130289320.066572
Total2.22355635
Table 11

Tukey's multiple comparison post hoc test for CSSR.

Mobile network operatorQuarterQuarterMean differenceLower limit (95% confidence intervals)Upper limit (95% confidence intervals)P-value
Airtel12−0.6249−0.29110.04270.1029
13−0.9271−0.5933−0.25960.0003
14−1.0993−0.7656−0.43180.0000
23−0.6360−0.30220.03160.0858
24−0.8082−0.4744−0.14070.0034
34−0.5060−0.17220.16160.4976
Etisalat12−0.12370.08670.29700.6711
13−0.2259−0.01560.19480.9969
14−0.16040.05000.26040.9125
23−0.3126−0.10220.10810.5472
24−0.2470−0.03670.17370.9626
34−0.14480.06560.27590.8253
Glo12−0.4507−0.06890.31290.9588
13−0.6741−0.29220.08960.1782
14−0.5141−0.13220.24960.7756
23−0.6052−0.22330.15850.3903
24−0.4452−0.06330.31850.9675
34−0.22180.16000.54180.6594
MTN12−0.3759−0.07560.22480.8984
13−0.5104−0.21000.09040.2431
14−0.9404−0.6400−0.33960.0000
23−0.4348−0.13440.16590.6116
24−0.8648−0.5644−0.26410.0001
34−0.7304−0.4300−0.12960.0031
Table 12

Tukey's multiple comparison post hoc test for DCR.

Mobile network operatorQuarterQuarterMean differenceLower limit (95% confidence intervals)Upper limit (95% confidence intervals)P-value
Airtel12−0.06420.00000.06421.0000
13−0.1197−0.05560.00860.1066
14−0.03860.02560.08970.6939
23−0.1197−0.05560.00860.1066
24−0.03860.02560.08970.6939
340.01690.08110.14530.0096
Etisalat12−0.1442−0.05220.03970.4154
13−0.1386−0.04670.04530.5113
14−0.1575−0.06560.02640.2281
23−0.08640.00560.09750.9983
24−0.1053−0.01330.07860.9778
34−0.1108−0.01890.07300.9410
Glo12−0.17030.01560.20140.9955
13−0.09250.09330.27920.5203
14−0.12920.05670.24250.8344
23−0.10810.07780.26370.6604
24−0.14480.04110.22700.9279
34−0.2225−0.03670.14920.9472
MTN12−0.1742−0.00780.15870.9992
13−0.14980.01670.18310.9924
14−0.03310.13330.29980.1492
23−0.14200.02440.19090.9770
24−0.02530.14110.30760.1172
34−0.04980.11670.28310.2411
Table 13

Tukey's multiple comparison post hoc test for SDCCH congestion.

Mobile network operatorQuarterQuarterMean differenceLower limit (95% confidence intervals)Upper limit (95% confidence intervals)P-value
Airtel12−0.04660.05670.16000.4454
130.06670.17000.27330.0007
140.06780.17110.27440.0007
230.01000.11330.21660.0278
240.01120.11440.21770.0260
34−0.10220.00110.10441.0000
Etisalat12−0.1068−0.04890.00910.1198
13−0.05460.00330.06130.9985
14−0.05800.00000.05801.0000
23−0.00570.05220.11020.0879
24−0.00910.04890.10680.1198
34−0.0613−0.00330.05460.9985
Glo12−0.7016−0.23440.23270.5208
13−0.44830.01890.48600.9995
14−0.38270.08440.55160.9586
23−0.21380.25330.72050.4554
24−0.14830.31890.78600.2616
34−0.40160.06560.53270.9798
MTN12−0.2492−0.05560.13810.8576
13−0.09920.09440.28810.5442
14−0.18470.00890.20250.9993
23−0.04360.15000.34360.1702
24−0.12920.06440.25810.7955
34−0.2792−0.08560.10810.6213
Table 14

Tukey's multiple comparison post hoc test for TCH congestion.

Mobile network operatorQuarterQuarterMean differenceLower limit (95% confidence intervals)Upper limit (95% confidence intervals)P-value
Airtel120.01650.15330.29020.0241
130.15870.29560.43240.0000
140.19200.32890.46570.0000
230.00540.14220.27910.0396
240.03870.17560.31240.0085
34−0.10350.03330.17020.9067
Etisalat12−0.17900.02330.22570.9886
13−0.06790.13440.33680.2830
14−0.06450.13780.34010.2635
23−0.09120.11110.31340.4445
24−0.08790.11440.31680.4191
34−0.19900.00330.20571.0000
Glo12−0.28330.02560.33450.9957
13−0.21330.09560.40450.8284
14−0.22560.08330.39220.8782
23−0.23890.07000.37890.9230
24−0.25110.05780.36670.9545
34−0.3211−0.01220.29670.9995
MTN12−0.2638−0.02440.21490.9920
13−0.22260.01670.25600.9974
14−0.12930.11000.34930.5913
23−0.19820.04110.28040.9641
24−0.10490.13440.37380.4250
34−0.14600.09330.33260.7072
Table 15

CSSR data for months and quarters of year 2014–2016.

YearMonthQuarterAirtelEtisalatGloMTN
2014Jan196.9999.296.8996.85
Feb198.0999.2698.0496.94
Mar198.2998.9798.3397.19
Apr297.8799.0397.2397.11
May298.0498.3998.2897.01
Jun298.0899.2398.0897.12
Jul398.0899.3398.2197.12
Aug398.3399.0798.1597.42
Sep398.2799.2898.4297.52
Oct498.6499.0498.1797.56
Nov498.7199.198.2598.73
Dec498.4599.0998.3598.78
2015Jan196.898.9498.2698.25
Feb196.7299.2298.398.43
Mar197.2399.1998.5698.28
Apr297.3499.1398.498.59
May297.4199.1898.4798.14
Jun297.3999.1298.2298.24
Jul398.0699.2798.2298.37
Aug397.9299.2898.2898.51
Sep398.0399.2698.1498.45
Oct497.9599.2498.1398.86
Nov498.1399.398.0898.83
Dec498.3699.298.0998.72
2016Jan198.2399.349898.88
Feb197.899.3898.298.82
Mar198.3599.3397.9998.98
Apr298.4299.3998.0399.05
May298.1499.2298.0999.02
Jun298.4399.3698.3999.02
Jul398.5399.2798.5999.06
Aug398.3498.9898.6599.08
Sep398.2899.2398.5498.98
Oct498.3798.9998.3398.95
Nov498.4299.2498.2598.99
Dec498.3699.1898.1198.96
Table 16

DCR data for months and quarters of year 2014–2016.

YearMonthQuarterAirtelEtisalatGloMTN
2014Jan10.840.551.191.21
Feb10.710.540.851.29
Mar10.60.570.831.19
Apr20.670.541.431.43
May20.740.680.781.33
Jun20.80.550.851.3
Jul30.820.590.811.23
Aug30.850.60.781.22
Sep30.820.580.811.16
Oct40.790.860.911.23
Nov40.750.840.960.78
Dec40.730.80.860.72
2015Jan10.820.530.51.02
Feb10.840.510.460.9
Mar10.790.530.870.5
Apr20.690.520.480.85
May20.720.530.530.93
Jun20.750.540.40.72
Jul30.740.50.410.72
Aug30.710.50.550.76
Sep30.750.540.530.78
Oct40.70.540.460.72
Nov40.620.480.410.82
Dec40.630.440.60.82
2016Jan10.650.460.50.67
Feb10.690.430.50.71
Mar10.650.430.570.5
Apr20.690.720.540.45
May20.760.470.570.5
Jun20.770.470.550.55
Jul30.760.460.550.68
Aug30.860.70.490.64
Sep30.780.50.50.65
Oct40.730.270.540.63
Nov40.710.470.50.49
Dec40.70.440.520.58
Table 17

SDCCH congestion data for months and quarters of year 2014–2016.

YearMonthQuarterAirtelEtisalatGloMTN
2014Jan10.40.10.580.17
Feb10.140.070.240.17
Mar10.090.080.280.1
Apr20.20.231.510.68
May20.160.090.240.12
Jun20.120.090.220.12
Jul30.110.080.170.1
Aug30.160.130.230.09
Sep30.110.090.160.08
Oct40.090.070.170.13
Nov40.120.090.150.1
Dec40.120.110.160.12















2015Jan10.640.160.140.53
Feb10.790.110.130.48
Mar10.490.140.410.16
Apr20.50.290.140.39
May20.60.331.380.73
Jun20.510.131.550.13
Jul30.260.121.70.12
Aug30.340.111.490.14
Sep30.140.131.520.14
Oct40.360.131.780.11
Nov40.190.121.790.34
Dec40.20.141.860.42
2016Jan10.190.122.190.15
Feb10.20.111.940.15
Mar10.210.092.320.11
Apr20.170.031.860.1
May20.180.131.750.12
Jun20.20.11.690.13
Jul30.160.121.540.17
Aug30.180.070.710.14
Sep30.160.10.540.19
Oct40.180.130.50.27
Nov40.170.090.480.25
Dec40.180.10.580.2
Table 18

TCH congestion data for months and quarters of year 2014–2016.

YearMonthQuarterAirtelEtisalatGloMTN
2014Jan10.790.270.790.55
Feb10.320.290.690.57
Mar10.320.551.050.42
Apr20.450.181.671.27
May20.290.980.580.43
Jun20.280.090.990.37
Jul30.320.120.940.31
Aug30.230.241.060.3
Sep30.250.140.690.29
Oct40.120.080.720.34
Nov40.150.090.640.36
Dec40.140.120.730.31
2015Jan10.910.391.290.6
Feb10.890.191.060.64
Mar10.990.190.61.09
Apr20.990.260.930.56
May20.640.270.70.77
Jun20.730.261.250.75
Jul30.430.181.440.63
Aug30.470.21.50.88
Sep30.520.191.581.06
Oct40.460.171.530.49
Nov40.410.191.520.4
Dec40.40.261.690.4
2016Jan10.480.331.740.28
Feb10.480.281.460.3
Mar10.390.241.560.27
Apr20.270.11.540.25
May20.30.191.280.25
Jun20.240.191.070.29
Jul30.190.150.780.39
Aug30.190.150.630.34
Sep30.310.150.760.37
Oct40.290.170.830.38
Nov40.310.180.860.5
Dec40.330.230.970.55
Correlation matrix for CSSR. Correlation matrix for DCR. Correlation matrix for SDCCH congestion. Correlation matrix for TCH congestion. ANOVA for CSSR. ANOVA for DCR. ANOVA for SDCCH congestion. ANOVA for TCH congestion. Tukey's multiple comparison post hoc test for CSSR. Tukey's multiple comparison post hoc test for DCR. Tukey's multiple comparison post hoc test for SDCCH congestion. Tukey's multiple comparison post hoc test for TCH congestion. CSSR data for months and quarters of year 2014–2016. DCR data for months and quarters of year 2014–2016. SDCCH congestion data for months and quarters of year 2014–2016. TCH congestion data for months and quarters of year 2014–2016.
Subject areaTelecommunication Engineering
More specific subject areaCellular/Mobile Networks
Type of dataTable and figure
How data was acquiredUnprocessed secondary data
Data formatFiltered and analyzed
Experimental factorsData were obtained from Nigerian Communications Commission (NCC)
Experimental featuresThe KPIs were measured from the Network Operating Centres (NOCs) of Airtel, Etisalat, Glo, and MTN at busy hours at the Base Station Controller (BSC) layer of the GSM networks. Computational analysis of the data are further provided.
Data source locationThe data covers all the GSM networks deployed by the operators across Nigeria
Data accessibilityData are available within this article
SoftwareMATLAB 2016a
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5.  Exploration of daily Internet data traffic generated in a smart university campus.

Authors:  Oluwaseun J Adeyemi; Segun I Popoola; Aderemi A Atayero; David G Afolayan; Mobolaji Ariyo; Emmanuel Adetiba
Journal:  Data Brief       Date:  2018-07-27

6.  Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014-2016).

Authors:  Aderemi A Atayero; Segun I Popoola; Jesse Egeonu; Olumuyiwa Oludayo
Journal:  Data Brief       Date:  2018-05-09

7.  Data on expert system-econometric entropy informatics model for adjudicating residential building project costs.

Authors:  Lekan M Amusan; Ayo K Charles; Ebunoluwa Adeyemi; Opeyemi Joshua; Ojelabi A Raphael
Journal:  Data Brief       Date:  2018-09-11

8.  Data on System Approach to Process of urban housing construction, renewal and upgrading.

Authors:  Amusan Lekan; Osawaru Faith; Akanya Cinwosoko Ninma; Awotinde Oladipupo Sunday
Journal:  Data Brief       Date:  2018-07-03

9.  Statistical analysis of bank deposits dataset.

Authors:  Pelumi E Oguntunde; Hilary I Okagbue; Patience I Adamu; Omoleye A Oguntunde; Sola J Oluwatunde; Abiodun A Opanuga
Journal:  Data Brief       Date:  2018-03-26

10.  Datasets on demographic trends in enrollment into undergraduate engineering programs at Covenant University, Nigeria.

Authors:  Segun I Popoola; Aderemi A Atayero; Joke A Badejo; Jonathan A Odukoya; David O Omole; Priscilla Ajayi
Journal:  Data Brief       Date:  2018-03-07
  10 in total

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