LEADER 02242nam 2200601 a 450 001 9910461535703321 005 20200520144314.0 010 $a1-61324-342-1 035 $a(CKB)2670000000099663 035 $a(EBL)3019694 035 $a(SSID)ssj0000522031 035 $a(PQKBManifestationID)12214766 035 $a(PQKBTitleCode)TC0000522031 035 $a(PQKBWorkID)10527282 035 $a(PQKB)11688062 035 $a(MiAaPQ)EBC3019694 035 $a(Au-PeEL)EBL3019694 035 $a(CaPaEBR)ebr10671259 035 $a(OCoLC)739712816 035 $a(EXLCZ)992670000000099663 100 $a20090915d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDigital evidence in the courtroom$b[electronic resource] /$fJohn D. Nilsson, editor 210 $aNew York $cNova Science Publishers$dc2010 215 $a1 online resource (124 p.) 225 1 $aCriminal justice, law enforcement and correction series 300 $aDescription based upon print version of record. 311 $a1-60741-803-7 320 $aIncludes bibliographical references and index. 327 $aSearch and seizure issues / David W. Hagy -- Integrity, discovery, and disclosure of digital evidence / David W. Hagy -- Courtroom preparation and evidence rules / David W. Hagy -- Presentation of digital evidence / David W. Hagy-- Application : child pornography / David W. Hagy. 410 0$aCriminal justice, law enforcement and corrections. 606 $aEvidence, Documentary$zUnited States 606 $aElectronic evidence$zUnited States 606 $aElectronic records$xLaw and legislation$zUnited States 606 $aComputer files$xLaw and legislation$zUnited States 608 $aElectronic books. 615 0$aEvidence, Documentary 615 0$aElectronic evidence 615 0$aElectronic records$xLaw and legislation 615 0$aComputer files$xLaw and legislation 676 $a347.73/64 701 $aNilsson$b John D$0886095 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910461535703321 996 $aDigital evidence in the courtroom$91978690 997 $aUNINA LEADER 04172nam 2200997z- 450 001 9910557714203321 005 20220111 035 $a(CKB)5400000000046183 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76847 035 $a(oapen)doab76847 035 $a(EXLCZ)995400000000046183 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEdge/Fog Computing Technologies for IoT Infrastructure 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (231 p.) 311 08$a3-0365-1456-2 311 08$a3-0365-1455-4 330 $aThe prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The selected articles cover diverse topics such as resource management, service provisioning, task offloading and scheduling, container orchestration, and security on edge/fog computing infrastructure, which can help to grasp recent trends, as well as state-of-the-art algorithms of fog/edge computing technologies. 606 $aInformation technology industries$2bicssc 610 $a5G 610 $aalgorithm classification 610 $acloud computing 610 $acomputational offloading 610 $acomputing 610 $acontainer orchestration 610 $acontainers 610 $acrowding distance 610 $acustom metrics 610 $adata manager 610 $adeep reinforcement learning (DRL) 610 $aDocker 610 $adynamic offloading threshold 610 $aedge computing 610 $aevaluation framework 610 $aevolutionary genetics 610 $afast implementation 610 $afog computing 610 $afog/edge computing 610 $afuzzy logic 610 $aGDPR 610 $aHorizontal Pod Autoscaling (HPA) 610 $ahyper-angle 610 $aInternet of things 610 $aInternet of Things (IoT) 610 $aIoT actor 610 $aKubernetes 610 $aleader election 610 $aload balancing 610 $aLWC 610 $amarkov decision process (MDP) 610 $amaximizing throughputs 610 $aminimizing delay 610 $aminimizing energy consumption 610 $amulti-access edge computing 610 $amulti-objective optimization 610 $an/a 610 $aOpenCL 610 $aorchestrator 610 $aPrometheus 610 $aresource management 610 $aresource metrics 610 $aservice offloading 610 $aservice placement 610 $aservice provisioning 610 $astateful 610 $atask allocation 610 $atask offloading 610 $atask scheduling 610 $aweb 610 $aWeb Assembly 615 7$aInformation technology industries 700 $aYoo$b Seong-eun$4edt$01328750 702 $aKim$b Taehong$4edt 702 $aKim$b Youngsoo$4edt 702 $aYoo$b Seong-eun$4oth 702 $aKim$b Taehong$4oth 702 $aKim$b Youngsoo$4oth 906 $aBOOK 912 $a9910557714203321 996 $aEdge$93039491 997 $aUNINA