Performance Modeling and Benchmarking of Event-Based ... - DVS

More documents

Recommendations

Info

110 CHAPTER 5. BENCHMARKING OF EVENT-BASED SYSTEMS CPU Utilization 100 80 60 40 20 0 0 2 4 6 8 10 12 14 16 18 20 # Queues Exp. 1 Exp. 2 Message Throughput (Msg/sec) 25000 20000 15000 10000 5000 0 0 2 4 6 8 10 12 14 16 18 20 # Queues Exp. 1 Exp. 2 CPU Time Per Msg (ms) 1 0.8 0.6 0.4 0.2 0 0 2 4 6 8 10 12 14 16 18 20 # Queues Exp. 1 Exp. 2 CPU Time Per KByte Payload (ms) 1 0.8 0.6 0.4 0.2 0 0 2 4 6 8 10 12 14 16 18 20 # Queues Exp. 1 Exp. 2 Figure 5.29: Scenarios 1 and 2: NPNT vs. Queues PT P2P Messaging with Increasing Number of 5.2.6 Conclusions of the SPECjms2007 Case Study In this section, we presented a case study of a leading JMS platform, the WebLogic server, conducting an in-depth performance analysis of the platform under a number of different workload and configuration scenarios. We evaluated the server performance for both the point-to-point and publish/subscribe messaging domains studying the effect of individual workload characteristics on the server CPU utilization, the message throughput, the CPU processing time per message/KByte payload, the message delivery latency, etc. Two groups of scenarios were tested. The first group uses complex workloads based on the standard horizontal and vertical topologies provided by the benchmark. The second group includes scenarios that focus on specific aspects and features of MOM, e.g the overhead of persisting messages, the influence of the message size, the effect of increasing the number of message producers/consumers and the maximum throughput that can be processed through a given number of queues. In most cases, the system scaled in a linear fashion and did not exhibit any unexpected behavior. Interesting observations are the relation between the number of the producer threads and message throughput, the number of topic consumers and CPU load, and the influence of pub/sub and P2P messaging in the vertical scenario. 5.3 jms2009-PS - A Publish /Subscribe Benchmark While SPECjms2007 includes some limited publish/subscribe communication as part of the workload, the focus of the benchmark is on point-to-point communication via queues which dominate the overall system workload. Moreover, the SPECjms2007 workload implementation
5.3. JMS2009-PS - A PUBLISH /SUBSCRIBE BENCHMARK 111 Intr. Message Location T P D Q TD ST Description 1 2 callForOffers HQ ̌ ̌ ̌ - ̌ ̌ Call for offers sent from DC to SPs (XML). offer DC ̌ ̌ ̌ ̌ ̌ - Offer sent from SP to DC (XML). pOrder SP ̌ ̌ ̌ ̌ ̌ - Order sent from DC to SP (XML). pOrderConf DC ̌ ̌ ̌ ̌ ̌ - Order confirmation sent from SP to DC (XML). invoice HQ ̌ ̌ ̌ ̌ ̌ - Order invoice sent from SP to HQ (XML). pShipInfo DC ̌ ̌ ̌ ̌ ̌ - Shipment from SP registered by RFID readers upon arrival at DC. pShipConf SP ̌ ̌ ̌ ̌ ̌ - Shipment confirmation sent from order DC ̌ ̌ ̌ ̌ ̌ - Order sent from SM to DC. orderConf SM ̌ ̌ ̌ ̌ ̌ - Order confirmation sent from DC to SM. shipDep DC ̌ ̌ ̌ ̌ ̌ - Shipment registered by RFID readers upon leaving DC. statInfo- HQ ̌ ̌ ̌ ̌ ̌ - Sales statistics sent from DC to OrderDC HQ. shipInfo SM ̌ ̌ ̌ ̌ ̌ - Shipment from DC registered by RFID readers upon arrival at SM. shipConf DC ̌ ̌ ̌ ̌ ̌ - Shipment confirmation sent from SM to DC. statInfo- ShipDC DC to SP (XML). HQ ̌ ̌ ̌ ̌ ̌ - Purchase statistics sent from DC to HQ. 3 priceUpdate HQ ̌ ̌ ̌ - ̌ - Price update sent from HQ to SMs. 4 inventoryInfo SM ̌ ̌ ̌ ̌ ̌ - Item movement registered by RFID readers in the warehouse of SM. 5 statInfoSM HQ ̌ ̌ ̌ ̌ ̌ - Sales statistics sent from SM to HQ. 6 product- Announcement HQ ̌ ̌ ̌ - ̌ - New product announcements sent from HQ to SMs. 7 creditCardHL HQ ̌ ̌ ̌ - ̌ - Credit card hotlist sent from HQ to SMs. Table 5.11: Configuration parameters supported for each message type.
Page 1:
Performance Modeling and Benchmarki
Page 4 and 5:
priorities. Finally, we validated o
Page 6 and 7:
4.3.4 Tool Extension . . . . . . .
Page 8 and 9:
5.7 Proportions of the Interactions
Page 11 and 12:
List of Acronyms Acronym λ t,k j A
Page 13 and 14:
Acronym SPEC-OSG SPE SPN SQL ST SUT
Page 15 and 16:
Chapter 1 Introduction 1.1 Motivati
Page 17 and 18:
PC Server 310 PC Server 310 PC Serv
Page 19 and 20:
1.3. APPROACH AND CONTRIBUTIONS OF
Page 21 and 22:
1.4. THESIS ORGANIZATION 7 • Stan
Page 23 and 24:
Chapter 2 Background In this chapte
Page 25 and 26:
2.1. EVENT-BASED SYSTEMS 11 is gene
Page 27 and 28:
2.2. TECHNOLOGY PLATFORMS OF EVENT-
Page 29 and 30:
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
2.3. INTRODUCTION TO QUEUEING PETRI
Page 37 and 38:
2.3. INTRODUCTION TO QUEUEING PETRI
Page 39 and 40:
Chapter 3 Related Work In this chap
Page 41 and 42:
3.2. BENCHMARKING OF EVENT-BASED SY
Page 43 and 44:
3.2. BENCHMARKING OF EVENT-BASED SY
Page 45 and 46:
3.4. CONCLUDING REMARKS 31 hierarch
Page 47 and 48:
Chapter 4 Performance Engineering o
Page 49 and 50:
4.1. MODELING METHODOLOGY FOR EBS 3
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
Page 57 and 58:
4.2. PERFORMANCE MODELING PATTERN 4
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
Page 71 and 72:
Page 73 and 74: 4.2. PERFORMANCE MODELING PATTERN 5
Page 87 and 88: 4.3. EXTENSIONS OF QPNS 73 ,-).$%&'
Page 89 and 90: 4.4. CONCLUDING REMARKS 75 Without
Page 91 and 92: Chapter 5 Benchmarking of Event-Bas
Page 93 and 94: 5.1. SPECJMS2007 - A STANDARD BENCH
Page 115 and 116: 5.2. CASE STUDY I: SPECJMS2007 101
Page 123: 5.2. CASE STUDY I: SPECJMS2007 109
Page 127 and 128: 5.3. JMS2009-PS - A PUBLISH /SUBSCR
Page 129 and 130: 5.4. CASE STUDY II: JMS2009-PS 115
Page 131 and 132: 5.4. CASE STUDY II: JMS2009-PS 117
Page 133 and 134: Chapter 6 Performance Modeling of E
Page 135 and 136: 6.2. MODELING SPECJMS2007 121 Scena
Page 137 and 138: 6.2. MODELING SPECJMS2007 123 BASE*
Page 139 and 140: 6.2. MODELING SPECJMS2007 125 1‘O
Page 141 and 142: 6.2. MODELING SPECJMS2007 127 Sc. 1
Page 143 and 144: 6.2. MODELING SPECJMS2007 129 Perce
Page 145 and 146: 6.2. MODELING SPECJMS2007 131 Serve
Page 147 and 148: 6.3. CONCLUDING REMARKS 133 the mod
Page 149 and 150: Chapter 7 Conclusions and Outlook W
Page 151 and 152: 7.1. ONGOING AND FUTURE WORK 137 JA
Page 153 and 154: 7.1. ONGOING AND FUTURE WORK 139 th
Page 155 and 156: Bibliography [1] J. Abbott, K. B. M
Page 157 and 158: BIBLIOGRAPHY 143 [29] BiCEP Researc
Page 159 and 160: BIBLIOGRAPHY 145 [61] G. Cugola and
Page 161 and 162: BIBLIOGRAPHY 147 [92] R. Henjes, M.
Page 163 and 164: BIBLIOGRAPHY 149 [128] S. Kounev an
Page 165 and 166: BIBLIOGRAPHY 151 [162] Object Compu
Page 167 and 168: BIBLIOGRAPHY 153 [197] K. Sachs, S.
Page 169 and 170: BIBLIOGRAPHY 155 [228] P. Tran, P.
Page 171: Erklärung Hiermit erkläre ich, di
show all

Performance Modeling and Benchmarking of Event-Based ... - DVS

Create successful ePaper yourself

Delete template?

Save as template?