LEADER 01467nas 2200421-a 450 001 9910893076603321 005 20240413025539.0 011 $a2226-6399 035 $a(CKB)991042728750352 035 $a(CONSER)---85640333- 035 $a(DE-599)ZDB2762433-X 035 $a(EXLCZ)99991042728750352 100 $a19850314a19689999 -f- b 101 0 $afre 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 04$aLes Appellations d'origine 210 $aGenève, Suisse $cBureaux internationaux réunis pour la protection de la propriété intellectuelle$d1968- 215 $a1 online resource 300 $aTitle from cover. 311 08$aPrint version: Les Appellations d'origine. 0253-8180 (DLC) 85640333 (OCoLC)11802957 606 $aMarks of origin$vRegisters 606 $aMarks of origin$2fast$3(OCoLC)fst01010353 606 $aINDUSTRIAL PROPERTY$2unbist 608 $aRegisters (Lists)$2fast 615 0$aMarks of origin 615 7$aMarks of origin. 615 7$aINDUSTRIAL PROPERTY. 676 $a602/.75 712 02$aUnited International Bureaux for the Protection of Intellectual Property. 712 02$aWorld Intellectual Property Organization. 712 02$aWorld Intellectual Property Organization.$bInternational Bureau. 906 $aJOURNAL 912 $a9910893076603321 920 $aexl_impl conversion 996 $aLes Appellations d'origine$94246629 997 $aUNINA LEADER 03361nam 22007215 450 001 9910743378203321 005 20251229070936.0 010 $a981-16-4806-9 010 $a981-16-4807-7 010 $a981-16-4807-7 024 7 $a10.1007/978-981-16-4807-6 035 $a(MiAaPQ)EBC6838715 035 $a(Au-PeEL)EBL6838715 035 $a(CKB)20275129600041 035 $a(OCoLC)1292353630 035 $a(PPN)259387878 035 $a(BIP)80794102 035 $a(DE-He213)978-981-16-4807-6 035 $a(EXLCZ)9920275129600041 100 $a20211218d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Distributed Computing and Machine Learning $eProceedings of ICADCML 2021 /$fedited by Jyoti Prakash Sahoo, Asis Kumar Tripathy, Manoranjan Mohanty, Kuan-Ching Li, Ajit Kumar Nayak 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (538 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v302 311 08$aPrint version: Sahoo, Jyoti Prakash Advances in Distributed Computing and Machine Learning Singapore : Springer Singapore Pte. Limited,c2021 9789811648069 327 $aUnconstrained Power Management Algorithm for Green Cloud Computing -- An Efficient Load Balancing System with Resource Failure -- Energy-Aware Service Management in Vehicular Cloud Computing. 330 $aThis book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v302 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMachine learning 606 $aBlockchains (Databases) 606 $aInternet of things 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aBlockchain 606 $aInternet of Things 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aBlockchains (Databases) 615 0$aInternet of things. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aBlockchain. 615 24$aInternet of Things. 676 $a006.31 702 $aSahoo$b Jyoti Prakash 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743378203321 996 $aAdvances in Distributed Computing and Machine Learning$92844367 997 $aUNINA