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When opening a new model tab in the WebACS, about 100 MB of RAM are allocated,
but when closing the tab only a small portion is released. On the RaspberriPi this leads to severe problems and sstem hangs after 4 or 5 tabs have been created/closed.
Apart from finding this leak, it would be desireable reduce RAM requirements for smaller platforms.
Managed to free a little more memory - but the effect on RaspberryPi is marginal, since garbage collection seems to take virtually forever (at least on my Raspi2).
The high memory usage comes from the used graphics framework (kinetic.js). To change this would mean massive changes to the WebACS, which cannot be done with currently available resources.
When opening a new model tab in the WebACS, about 100 MB of RAM are allocated,
but when closing the tab only a small portion is released. On the RaspberriPi this leads to severe problems and sstem hangs after 4 or 5 tabs have been created/closed.
Apart from finding this leak, it would be desireable reduce RAM requirements for smaller platforms.
Testing environment:
platform: RaspberryPi 3
OS: Ubuntu Mate 16.04 LTS
browser: Mozilla Firefox 52.02
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