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

More documents

Recommendations

Info

70 CHAPTER 4. PERFORMANCE ENGINEERING OF EVENT-BASED SYSTEMS QPN Definition Places: Place Type Description Load Balancer S Receives incoming events and forward an event. Consumer i S Consumes incoming events. One place for each of the n Consumers. Colors: Color Event NextIsCi Description Represents the published event. If exists, the next Event will be forwarded to Consumer i. One color for each of the n Consumers. Init No. of Colors: Color Place Count Description NextIsCi LoadBal. 1 Defines that Consumer i will receive the first Event token. Transitions: Id Input Output FW Description If i < n: T1-i 1 Event (Load Balancer) 1 Event (Consumer i) 1 Forwards event 1 NextIsCi 1 NextIsCi + 1 1 to consumer. (Load Balancer) (Load Balancer) If i = n: T1-n 1 Event (Load Balancer) 1 Event Consumer 1 1 Forwards event 1 NextIsCn 1 NextIsC1 1 to consumer. (Load Balancer) (Load Balancer) Note: n is the count of Consumers.
4.2. PERFORMANCE MODELING PATTERN 71 Pattern 11: Queuing Load Balancer Consumer 1 ... ... ... Load Balancer T1 Consumer 2 1‘Ready 1‘Ready 1‘Event 1‘Event ... T2 Consumer n T1: Pull Event T2: Consumer is ready Consumer 1 Ready Consumer 2 Ready Consumer n Ready Load Balancer Consumer 1 Event Consumer 2 Event Consumer n Event Consumer 1 Event Consumer 2 Event Consumer n Event Consumer 1 Ready Consumer 2 Ready Consumer n Ready Event Figure 4.20: Load Balancer - Pull Example Incoming events are stored at the load balancer, e.g., in a queue. If a consumer has free resources he pulls an event and processes it. Characteristics • Load Balancing • Resource controlled • Pull-based Description Patterns 9 & 10 model a Load Balancer, who pushes Events directly after processing them to the Consumer. In this scenario the Load Balancer stores them after processing and the Consumer pulls Event tokens based on the availability of resources.
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: 2.2. TECHNOLOGY PLATFORMS OF EVENT-
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 57 and 58: 4.2. PERFORMANCE MODELING PATTERN 4
Page 83: 4.2. PERFORMANCE MODELING PATTERN 6
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 125 and 126: 5.3. JMS2009-PS - A PUBLISH /SUBSCR
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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?