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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 
_______________________________________________________________________________________ 
Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 8 
ON PREEMPTIVE RESUME VERSUS NON-PREEMTIVE DISCIPLINES RELEVANT TO MONOPOLY SERVICE FACILITY Pratima Singh1 1Mathematics Department P.G. College Ghazipur, U.P. Abstract In the present study the expected sojourn times of the n-th customer in the preemptive-resume discipline and non-preemptive discipline have been compared with the help of computer program and graphs and interesting conclusion have been drawn. Keywords- Preemptive, non- Preemptive, monopoly service 
---------------------------------------------------------------------***-------------------------------------------------------------------- 1. INTRODUCTION 1.1 Priority Queue services The common queue discipline is the FCFS (first come first served) according to which the arrivals of customers are processed for servicing in order of their arrival. These disciplines concern the choice of the next Customer to be served when the sever terminates a service, for example units may be taken up service at random or the last come first served (LCFS) or on priority basis. 1.2 Preemptive Priority 
In this case customer with the highest priority is allowed to enter service immediately after entering into the system even if a customer with lower priority is already in service. That is, lower priority customer's service is interrupted (preempted) to start service for a special customer. This interrupted service is resumed again alter the higher priority customer is served or according to the preemptive rules. 
1.3 Non Preemptive Priority Where a customer, once in service, will leave the facility only after the service is completed and regardless of the priority of newly arriving customers. The FCFS service discipline is not always applicable in many service systems and customers are classified according to different priorities. 1.4 Back Ground A, Cobham(1), Hawkes (2), Gaver(3), Keilson(5),Kleinrock(6), Takacs(7), Jaiswal(8), Nelson(9) have been studied. In the present study the expected sojourn times of the n-th customer S(n) in the preemptive resume discipline and non- preemptive discipline have been compared with the help of computer programs and interesting conclusions have been drawn."'Let S(n) denote the expected sojourn time of the n- th (the last) customer in the low priority class. Adliri and Yechiali(4) presented this representation in a recursive form. 
푆 1 = 1 휇 + 휌 휇(1−휌) 푆 2 = 2 휇 + 휌 휇(1−휌) 푆 푛 = 푛 휇 + 휌 휇 1−휌 [1+ 휌푞 1+휌 2푞 푚휌푚 푚+푞 1+휌 푚 푛−푞−1 푚=1 푛−2 푞=0 푚+2푞−1 푞 푛≥2 My proposed methodology is to studied the preemptive & non- preemptive cases of service facility is For the non-preemptive resume case 푆 1 = 1 휇
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 
_______________________________________________________________________________________ 
Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 9 
푆 2 = 2 휇 + 휌 휇(1−휌) 푆 푛 = 푛 휇 + 휌 휇 1−휌 [1+ 휌푞 1+휌 2푞 푚휌푚 푚+푞 1+휌 푚 푛−푞−1 푚=1 푛−3 푞=0 푚+2푞−1 푞 푛≥3 Preemptive 
흀 
흁 
N 
Sn 
S1 
S2 
1 
5 
50 
12.0634110046 
.25000 
.45000 
1 
10 
75 
7.72741529 
.111111 
.211111 
1 
15 
100 
6.7326101956 
.07142857 
.1380952 
1 
20 
110 
5.52786027 
.05263157 
.102631 
1 
25 
120 
4.814413465 
.0416666 
.0816666 
1 
30 
130 
4.341796100 
.034482758 
.06781609 
1 
35 
150 
4.29113429 
.0294117647 
.0579831932 
1 
40 
200 
5.0036992577 
.0256410256 
.05064102564 
1 
45 
250 
5.558203172 
.02272727 
.0449494949 
1 
50 
300 
6.001967032 
.0204081632 
.0404081632 
C PROGRAM TO CALCULATE THE VALUE FOR SN IN PREEMPTIVE CASE: SUBROUTINE FACT (N, IFN) J = 1 DO 101 = 1,N J = J * I 10 CONTINUE IFN = J RETURN END INTEGER Q, K, N, FR, FN, FNR DOUBLE PRECISION LEM, MU,NCR, MQ, SI, S2, SQ, SN, SM, R, RO READ (*, *) LEM, MU RO - LEM / MU S1 = (1.0 / MU ) + ( RO / ( MU * ( 1.0 - RO ))) S2= (2.0 / MU ) + ( RO / ( MU * ( 1.0 - RO ))) READ (*, *) N MQ = M + (2*Q)-1 SQ-0 SM = 0 DO 1 Q = 0, N - 2 SQ-SQ 1 (( RO **Q )/(( 1 I RO ) ** ( 2 * Q ))) DO 2 M = 1, N - Q - 1 CALL FACT ( M + (2 * Q ) 1,FN) CALL FACT ( Q, FR ) CALL FACT (Mi(2*Q)-l-Q, FNR ) NCR = FN / ( FR * FNR ) SM - SM + ( M * RO ** M ) / (( M Q ) * ( 1 + RO ) M ) • NCR 2 CONTTNTTE 1 CONTINLIE SN - ( N / MU) + (( RO / ( MU * ( 1 - RO ))) * ( 1 + SQ * SM )) WRITE (*,*) SN WRITE (*,*) SI, S2 STOP END
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 
_______________________________________________________________________________________ 
Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 10 
14- 
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PREEMPTIVE RESUME
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 
_______________________________________________________________________________________ 
Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 11 
Non- Preemptive 
흀 
흁 
n 
Sn 
S1 
S2 
1 
5 
50 
12.06312660 
.20000 
.450000 
1 
10 
75 
7.72739728 
.10000 
.211111 
1 
15 
100 
6.73260656 
.066666 
.1380952 
1 
20 
110 
5.527858943 
.050000 
.10263157 
1 
25 
120 
4.8144128607 
.040000 
.0816666 
1 
30 
130 
4.341795784125 
.03333 
.06781609 
1 
35 
150 
4.2911341202 
.02857142 
.0579831 
1 
40 
200 
5.0036991731 
.0250000 
.0506410256 
1 
45 
250 
5.5582031258 
.02222 
.04494949 
1 
50 
300 
6.001967004 
.020000 
.0404081632 
C PROGRAM TO CALCULATE THE VALUE FOR SN IN NON- PREEMPTIVE CASE: SUBROUTINE FACT (N, IFN) J = 1 DO 101 = 1,N J = J * I 10 CONTINUE IFN = J RETURN END INTEGER Q, K, N, FR, FN, FNR DOUBLE PRECISION LEM, MU,NCR, MQ, SI, S2, SQ, SN, SM, R, RO READ (*, *) LEM, MU RO - LEM / MU S1 = (1.0 / MU ) S2= (2.0 / MU ) + ( RO / ( MU * ( 1.0 - RO ))) READ (*, *) N MQ = M + (2*Q)-1 SQ-0 SM = 0 DO 1 Q = 0, N - 3 SQ-SQ 1 (( RO **Q )/(( 1 I RO ) ** ( 2 * Q ))) DO 2 M = 1, N - Q - 1 CALL FACT ( M + (2 * Q ) 1,FN) CALL FACT ( Q, FR ) CALL FACT (Mi(2*Q)-l-Q, FNR ) NCR = FN / ( FR * FNR ) SM - SM + ( M * RO ** M ) / (( M Q ) * ( 1 + RO ) M ) • NCR 2 CONTTNTTE 1 CONTINLIE SN - ( N / MU) + (( RO / ( MU * ( 1 - RO ))) * ( 1 + SQ * SM )) WRITE (*,*) SN WRITE (*,*) SI, S2 STOP END
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 
_______________________________________________________________________________________ 
Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 12 
14- 
12- 
10- 
8- 
6- 
4- 
2- 
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50 
75 
250 
110 
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1 
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1 
SN 
NONPREEMPTIVE RESUME
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 
_______________________________________________________________________________________ 
Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 13 
2. COMPARISION BETWEEN PREEMPTIVE & NON PREEMPTIVE RESUME 
3. DISCUSSION AND CONCLUSIONS Assigning various values to n, 흀 and 흁 the recursive representations (the expected sojourn times of the nth customer denoted by S(n) in the low priority class) for the preemptive resume discipline and non- preemptive resume case have been computed. Figure-1 illustrates the possible shapes of the prevalence of sojourn times in preemptive resume while Figure-2 depicts the possible shapes of the prevalence of sojourn times in non-Preemptive resume. With the increase in the number of customers, sojourn times in both disciplines decrease. A comparison of two disciplines (Figure-3) shows that sojourn times in non-preemptive discipline are less than sojourn times in preemptive discipline. In case of fewer customers main characteristics of graphs rapidly change and sojourn times in both disciplines be almost but not exactly the same. 
REFERENCES 
[1] A, Cobham, (1954), priority Assignment in waiting line problems, Opns Res. 2, 70-76. 
[2] A.G. Hawkes, (1966); Time- dependent solution of a priority queue with bulk arrivals; opns. Res, 586-596 . 
[3] D.P, Gaver (1962); A waiting line with interrupted service including priorities, J. Roy. Stan. Sec., B, 24, 73-90 
[4] I, Adiri, and U. Yechiali (1974), optimal priority. Purchasing and pricing Decisions in Non-Monopoly and monopoly Queues, operations Research, 22 (5), 1051-1066. 
[5] J. Keilson, (1962). Queues sobject to service interruption; Ann. Math Stat. 3314,1314-1322. 
[6] L. Kleinrock, and R.P. Finkelstein. (1967), Time Dependent Priority Queues opns. Res. 15, 104-116. 
[7] L. Takacs, (1964). Priority Queues' opns. Res., 12, 63-74 
[8] N.K. Jaiswal, (1962), Time dependent solution of the head of the line priority queue, J. Roy Stat. Sec. B, 24. 91-101. 
[9] R. Nelson (1990), Heavy Traffic Response Times for a priority queue with linear priorities. Opns. Res. Vol. 38, No . 3, 560-563. 
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On preemptive resume versus non preemtive disciplines relevant to monopoly service facility

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 8 ON PREEMPTIVE RESUME VERSUS NON-PREEMTIVE DISCIPLINES RELEVANT TO MONOPOLY SERVICE FACILITY Pratima Singh1 1Mathematics Department P.G. College Ghazipur, U.P. Abstract In the present study the expected sojourn times of the n-th customer in the preemptive-resume discipline and non-preemptive discipline have been compared with the help of computer program and graphs and interesting conclusion have been drawn. Keywords- Preemptive, non- Preemptive, monopoly service ---------------------------------------------------------------------***-------------------------------------------------------------------- 1. INTRODUCTION 1.1 Priority Queue services The common queue discipline is the FCFS (first come first served) according to which the arrivals of customers are processed for servicing in order of their arrival. These disciplines concern the choice of the next Customer to be served when the sever terminates a service, for example units may be taken up service at random or the last come first served (LCFS) or on priority basis. 1.2 Preemptive Priority In this case customer with the highest priority is allowed to enter service immediately after entering into the system even if a customer with lower priority is already in service. That is, lower priority customer's service is interrupted (preempted) to start service for a special customer. This interrupted service is resumed again alter the higher priority customer is served or according to the preemptive rules. 1.3 Non Preemptive Priority Where a customer, once in service, will leave the facility only after the service is completed and regardless of the priority of newly arriving customers. The FCFS service discipline is not always applicable in many service systems and customers are classified according to different priorities. 1.4 Back Ground A, Cobham(1), Hawkes (2), Gaver(3), Keilson(5),Kleinrock(6), Takacs(7), Jaiswal(8), Nelson(9) have been studied. In the present study the expected sojourn times of the n-th customer S(n) in the preemptive resume discipline and non- preemptive discipline have been compared with the help of computer programs and interesting conclusions have been drawn."'Let S(n) denote the expected sojourn time of the n- th (the last) customer in the low priority class. Adliri and Yechiali(4) presented this representation in a recursive form. 푆 1 = 1 휇 + 휌 휇(1−휌) 푆 2 = 2 휇 + 휌 휇(1−휌) 푆 푛 = 푛 휇 + 휌 휇 1−휌 [1+ 휌푞 1+휌 2푞 푚휌푚 푚+푞 1+휌 푚 푛−푞−1 푚=1 푛−2 푞=0 푚+2푞−1 푞 푛≥2 My proposed methodology is to studied the preemptive & non- preemptive cases of service facility is For the non-preemptive resume case 푆 1 = 1 휇
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 9 푆 2 = 2 휇 + 휌 휇(1−휌) 푆 푛 = 푛 휇 + 휌 휇 1−휌 [1+ 휌푞 1+휌 2푞 푚휌푚 푚+푞 1+휌 푚 푛−푞−1 푚=1 푛−3 푞=0 푚+2푞−1 푞 푛≥3 Preemptive 흀 흁 N Sn S1 S2 1 5 50 12.0634110046 .25000 .45000 1 10 75 7.72741529 .111111 .211111 1 15 100 6.7326101956 .07142857 .1380952 1 20 110 5.52786027 .05263157 .102631 1 25 120 4.814413465 .0416666 .0816666 1 30 130 4.341796100 .034482758 .06781609 1 35 150 4.29113429 .0294117647 .0579831932 1 40 200 5.0036992577 .0256410256 .05064102564 1 45 250 5.558203172 .02272727 .0449494949 1 50 300 6.001967032 .0204081632 .0404081632 C PROGRAM TO CALCULATE THE VALUE FOR SN IN PREEMPTIVE CASE: SUBROUTINE FACT (N, IFN) J = 1 DO 101 = 1,N J = J * I 10 CONTINUE IFN = J RETURN END INTEGER Q, K, N, FR, FN, FNR DOUBLE PRECISION LEM, MU,NCR, MQ, SI, S2, SQ, SN, SM, R, RO READ (*, *) LEM, MU RO - LEM / MU S1 = (1.0 / MU ) + ( RO / ( MU * ( 1.0 - RO ))) S2= (2.0 / MU ) + ( RO / ( MU * ( 1.0 - RO ))) READ (*, *) N MQ = M + (2*Q)-1 SQ-0 SM = 0 DO 1 Q = 0, N - 2 SQ-SQ 1 (( RO **Q )/(( 1 I RO ) ** ( 2 * Q ))) DO 2 M = 1, N - Q - 1 CALL FACT ( M + (2 * Q ) 1,FN) CALL FACT ( Q, FR ) CALL FACT (Mi(2*Q)-l-Q, FNR ) NCR = FN / ( FR * FNR ) SM - SM + ( M * RO ** M ) / (( M Q ) * ( 1 + RO ) M ) • NCR 2 CONTTNTTE 1 CONTINLIE SN - ( N / MU) + (( RO / ( MU * ( 1 - RO ))) * ( 1 + SQ * SM )) WRITE (*,*) SN WRITE (*,*) SI, S2 STOP END
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 10 14- 12- 10- 8- 6- 4- 2- 0- 50 75 250 110 120 130 150 200 300 100 1 1 1 1 1 1 1 1 1 Series SN PREEMPTIVE RESUME
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 11 Non- Preemptive 흀 흁 n Sn S1 S2 1 5 50 12.06312660 .20000 .450000 1 10 75 7.72739728 .10000 .211111 1 15 100 6.73260656 .066666 .1380952 1 20 110 5.527858943 .050000 .10263157 1 25 120 4.8144128607 .040000 .0816666 1 30 130 4.341795784125 .03333 .06781609 1 35 150 4.2911341202 .02857142 .0579831 1 40 200 5.0036991731 .0250000 .0506410256 1 45 250 5.5582031258 .02222 .04494949 1 50 300 6.001967004 .020000 .0404081632 C PROGRAM TO CALCULATE THE VALUE FOR SN IN NON- PREEMPTIVE CASE: SUBROUTINE FACT (N, IFN) J = 1 DO 101 = 1,N J = J * I 10 CONTINUE IFN = J RETURN END INTEGER Q, K, N, FR, FN, FNR DOUBLE PRECISION LEM, MU,NCR, MQ, SI, S2, SQ, SN, SM, R, RO READ (*, *) LEM, MU RO - LEM / MU S1 = (1.0 / MU ) S2= (2.0 / MU ) + ( RO / ( MU * ( 1.0 - RO ))) READ (*, *) N MQ = M + (2*Q)-1 SQ-0 SM = 0 DO 1 Q = 0, N - 3 SQ-SQ 1 (( RO **Q )/(( 1 I RO ) ** ( 2 * Q ))) DO 2 M = 1, N - Q - 1 CALL FACT ( M + (2 * Q ) 1,FN) CALL FACT ( Q, FR ) CALL FACT (Mi(2*Q)-l-Q, FNR ) NCR = FN / ( FR * FNR ) SM - SM + ( M * RO ** M ) / (( M Q ) * ( 1 + RO ) M ) • NCR 2 CONTTNTTE 1 CONTINLIE SN - ( N / MU) + (( RO / ( MU * ( 1 - RO ))) * ( 1 + SQ * SM )) WRITE (*,*) SN WRITE (*,*) SI, S2 STOP END
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 12 14- 12- 10- 8- 6- 4- 2- 0- 50 75 250 110 120 130 150 200 300 100 1 1 1 1 1 1 1 1 1 SN NONPREEMPTIVE RESUME
  • 6. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Special Issue: 10 | NCCOTII 2014 | Jun-2014, Available @ http://www.ijret.org 13 2. COMPARISION BETWEEN PREEMPTIVE & NON PREEMPTIVE RESUME 3. DISCUSSION AND CONCLUSIONS Assigning various values to n, 흀 and 흁 the recursive representations (the expected sojourn times of the nth customer denoted by S(n) in the low priority class) for the preemptive resume discipline and non- preemptive resume case have been computed. Figure-1 illustrates the possible shapes of the prevalence of sojourn times in preemptive resume while Figure-2 depicts the possible shapes of the prevalence of sojourn times in non-Preemptive resume. With the increase in the number of customers, sojourn times in both disciplines decrease. A comparison of two disciplines (Figure-3) shows that sojourn times in non-preemptive discipline are less than sojourn times in preemptive discipline. In case of fewer customers main characteristics of graphs rapidly change and sojourn times in both disciplines be almost but not exactly the same. REFERENCES [1] A, Cobham, (1954), priority Assignment in waiting line problems, Opns Res. 2, 70-76. [2] A.G. Hawkes, (1966); Time- dependent solution of a priority queue with bulk arrivals; opns. Res, 586-596 . [3] D.P, Gaver (1962); A waiting line with interrupted service including priorities, J. Roy. Stan. Sec., B, 24, 73-90 [4] I, Adiri, and U. Yechiali (1974), optimal priority. Purchasing and pricing Decisions in Non-Monopoly and monopoly Queues, operations Research, 22 (5), 1051-1066. [5] J. Keilson, (1962). Queues sobject to service interruption; Ann. Math Stat. 3314,1314-1322. [6] L. Kleinrock, and R.P. Finkelstein. (1967), Time Dependent Priority Queues opns. Res. 15, 104-116. [7] L. Takacs, (1964). Priority Queues' opns. Res., 12, 63-74 [8] N.K. Jaiswal, (1962), Time dependent solution of the head of the line priority queue, J. Roy Stat. Sec. B, 24. 91-101. [9] R. Nelson (1990), Heavy Traffic Response Times for a priority queue with linear priorities. Opns. Res. Vol. 38, No . 3, 560-563. 0 2 4 6 8 10 12 14 1 2 3 4 5 6 7 8 9 10 NONPRE