|Betriebssysteme · Institut für Systemarchitektur · Fakultät Informatik · TU Dresden|
04. 03. 2016
Behaviour-Aware Load-Balancing for a Micro-Kernel
Verteidigung der Diplomarbeit
The processor can issue data requests faster than memory can serve them, consequently, the waiting time impacts application run-time. Reducing the number cache misses and waits for memory is preferable. With the help of hardware performance counters memory requirements of threads can be measured at run-time and can support a load balancing decision.
In my thesis I discuss a combination of time and space as load definition. Furthermore, I design and implement a load balancing service for L4Re, which also provides an interface to state isolation and communication requirements.
I evaluate the service by comparing four different balancing algorithms: Linux's CFS, space-time-balance, time-balance, and simple-load-distribution.
26. Jun 2018
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