LEADER 02650nam 2200397 450 001 9910580196703321 005 20230822182632.0 035 $a(CKB)5860000000055128 035 $a(NjHacI)995860000000055128 035 $a(EXLCZ)995860000000055128 100 $a20230822d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSIGMETRICS/PERFORMANCE '22 Abstract $eAbstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems /$fgeneral chairs, D Manjunath, Jayakrishnan Nair 210 1$aNew York :$cAssociation for Computing Machinery,$d2022. 215 $a1 online resource (132 pages) 225 0 $aACM Conferences 300 $aIncludes index. 311 $a1-4503-9141-9 330 $aWelcome to ACM SIGMETRICS / IFIP Performance 2022! We are very happy to welcome you to the sylvan campus of IIT Bombay, adjoining the Sanjay Gandhi National Park (home to a variety of wildlife including leopards that often visit us on the campus), and the Powai and Vihar lakes (with resident crocodiles). The campus is home to a wide variety of birds and other flora and fauna and also about 15,000 students and 10,000 faculty and staff, a small city in a 400 acre campus. The campus is also home to the Victor Menezes Convention Centre (VMCC) that will host the in-person version of the campus.With waning of the Covid-19 pandemic, we are moving back towards a normal year, albeit a bit slower than many of us would like. In this march towards pre-pandemic normalcy, we are experimenting with a hybrid conference and two mirrors in this year's edition of the conference. The main conference is being planned with two mirrors: the IST mirror will be a hybrid event with both in-person and online participation and will be a day event according to Mumbai time. All the contributed talks will be repeated in the purely online version that will be held during the EDT day. The keynotes and award talks are scheduled during the IST evening so that it also becomes accessible in the EDT morning. The workshops and tutorials are spread throughout the day and we have tried to minimize parallel events. 606 $aComputer science 606 $aMachine learning 615 0$aComputer science. 615 0$aMachine learning. 676 $a004 702 $aManjunath$b D. 702 $aNair$b Manjunath 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910580196703321 996 $aSIGMETRICS$92167965 997 $aUNINA