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

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62 CHAPTER 4. PERFORMANCE ENGINEERING OF EVENT-BASED SYSTEMS Transitions: Id Input Output FW Description T1 1 Event (P roducer) 1 Event (Broker) 1 Producer publishes an event. T2-I 1 Event (Broker) 1 Event (Consumer) ∞ Consumer pulls an 1 Trigger event and processes it. (T riggerStore) T2-II 1 Trigger (T riggerStore) T3-I 1 Event (Consumer) 1 Trigger (T riggerStore) T3-II 1 Sleep (T imer) 1 Trigger (T riggerStore) 1 Sleep (T imer) 1 If no event is stored at the Broker → go to sleep. 1 After an event is processed, the consumer creates a trigger for a pull attempt. 1 After a specified time interval, the consumer wakes up to pull an event.
4.2. PERFORMANCE MODELING PATTERN 63 Pattern 7: Request Controlled Pull II Timer 1‘Sleep" !1‘Sleep T5 T4 1‘Trigger" 1‘Slot" !1‘Trigger 1‘Slot 1‘Event 1‘Event 1‘Event Store !1‘Trigger 1‘Slot !1‘ Trigger 1‘Event !1‘Slot T3 1‘Event" Producer T1 Broker T2 Consumer T2: Pull Event Broker Event Store Trigger Slot 1 1 1 1 Consumer 1 Store Trigger Event T4: Go back to sleep Store Trigger 1 1 Timer Slot 1 Store 1 Sleep Slot T3: Consumer is ready T5: Wake up Consumer Store Timer 1 1 Event 1 1 Slot Sleep Store Trigger Figure 4.16: Pull Pattern - Request controlled II Characteristics • Pull-based communication on demand • Resource controlled • Resource modeling (number of service places) Example (similar to Pattern 6) An event consumer connects frequently to a broker to check whether notifications are waiting. If yes, the consumer downloads one of them, closes the connection and processes the event notification. As soon as the event has been processed the consumer connects again to the broker to pull the next event. If no event is available, the consumer closes the connection and waits for a specified period of time before pursuing the next pull attempt. Description This pattern addresses the same scenario as Pattern 6. It solves the issues of Pattern 6 discussed in the previous section for the costs of higher model complexity. In the previous pattern we
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Performance Modeling and Benchmarki
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priorities. Finally, we validated o
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4.3.4 Tool Extension . . . . . . .
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5.7 Proportions of the Interactions
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List of Acronyms Acronym λ t,k j A
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Acronym SPEC-OSG SPE SPN SQL ST SUT
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Chapter 1 Introduction 1.1 Motivati
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PC Server 310 PC Server 310 PC Serv
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1.3. APPROACH AND CONTRIBUTIONS OF
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1.4. THESIS ORGANIZATION 7 • Stan
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Chapter 2 Background In this chapte
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5.3. JMS2009-PS - A PUBLISH /SUBSCR
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5.4. CASE STUDY II: JMS2009-PS 115
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5.4. CASE STUDY II: JMS2009-PS 117
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Chapter 6 Performance Modeling of E
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6.2. MODELING SPECJMS2007 121 Scena
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6.2. MODELING SPECJMS2007 123 BASE*
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6.2. MODELING SPECJMS2007 125 1‘O
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6.2. MODELING SPECJMS2007 127 Sc. 1
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6.2. MODELING SPECJMS2007 129 Perce
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6.2. MODELING SPECJMS2007 131 Serve
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6.3. CONCLUDING REMARKS 133 the mod
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Chapter 7 Conclusions and Outlook W
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7.1. ONGOING AND FUTURE WORK 137 JA
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7.1. ONGOING AND FUTURE WORK 139 th
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Bibliography [1] J. Abbott, K. B. M
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BIBLIOGRAPHY 143 [29] BiCEP Researc
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BIBLIOGRAPHY 145 [61] G. Cugola and
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BIBLIOGRAPHY 147 [92] R. Henjes, M.
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BIBLIOGRAPHY 149 [128] S. Kounev an
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BIBLIOGRAPHY 151 [162] Object Compu
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BIBLIOGRAPHY 153 [197] K. Sachs, S.
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BIBLIOGRAPHY 155 [228] P. Tran, P.
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Erklärung Hiermit erkläre ich, di
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