Performance Modeling and Benchmarking of Event-Based ... - DVS
Performance Modeling and Benchmarking of Event-Based ... - DVS
Performance Modeling and Benchmarking of Event-Based ... - DVS
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7.1. ONGOING AND FUTURE WORK 139<br />
them accurate. Therefore, we propose to work on self-adaptive EBS based on the presented<br />
modeling methodology. Such systems should dynamically adjust their configuration to ensure<br />
that QoS requirements are continuously met. They should generate performance models at<br />
run-time based on monitoring data <strong>and</strong>, using these models, predict the system performance<br />
under the expected workload <strong>and</strong> adapt itself to guarantee specified QoS levels. Since performance<br />
analysis should be carried out on-the-fly, it is essential that the process <strong>of</strong> generating<br />
<strong>and</strong> analyzing the models is completely automated <strong>and</strong> efficient. Such a self-adaptive EBS requires<br />
novel techniques for system behavior prediction, monitoring <strong>and</strong> runtime measurements<br />
to supervise its own QoS status, to identify possible problems such as bottlenecks <strong>and</strong> to react<br />
to them autonomously, e.g., by automatically allocating resources. Another research challenge<br />
is to integrate all QoS attributes in the models <strong>and</strong> to optimize these models, e.g., regarding<br />
resource usage <strong>of</strong> the system given a certain QoS level.