20.01.2015 Views

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

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

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

SHOW MORE
SHOW LESS

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

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!