Modern data centres, web applications and big data analytics require systems software to operate at unprecedented scale.
CamSaS is our initiative to build a systems software stack for the 21st century warehouse-scale data centres.
Paper accepted at HotOS 2015
16 March 2015
A paper co-authored by two members of CamSaS has been accepted for publication at HotOS 2015. The paper shows how big data analytics jobs' runtime can be improved by up to 40% by replacing garbage collection (GC) with region-based memory allocation.