LEADER 05303nam 2200721 450 001 9910830008403321 005 20221206215200.0 010 $a1-118-76328-9 010 $a1-118-76340-8 010 $a1-118-76339-4 024 7 $a10.1002/9781118763407 035 $a(CKB)2550000001165644 035 $a(EBL)1563647 035 $a(SSID)ssj0001060319 035 $a(PQKBManifestationID)11674194 035 $a(PQKBTitleCode)TC0001060319 035 $a(PQKBWorkID)11087701 035 $a(PQKB)11006571 035 $a(MiAaPQ)EBC1563647 035 $a(DLC) 2013028063 035 $a(CaBNVSL)mat06685218 035 $a(IDAMS)0b00006481fb1db8 035 $a(IEEE)6685218 035 $a(OCoLC)852745802 035 $a(PPN)19191200X 035 $a(EXLCZ)992550000001165644 100 $a20151222d2013 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aService quality of cloud-based applications /$fEric Bauer, Randee Adams 210 1$aHoboken, New Jersey :$cWiley,$d[2014] 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2013] 215 $a1 online resource (340 p.) 300 $aDescription based upon print version of record. 311 $a1-118-76329-7 311 $a1-306-15661-0 320 $aIncludes bibliographical references and index. 327 $aCover; IEEE Press; Title page; Copyright page; Contents; Figures; Tables and Equations; Tables; Equations; 1: Introduction; 1.1 Approach; 1.2 Target Audience; 1.3 Organization; Acknowledgments; I: Context; 2: Application Service Quality; 2.1 Simple Application Model; 2.2 Service Boundaries; 2.3 Key Quality and Performance Indicators; 2.4 Key Application Characteristics; 2.4.1 Service Criticality; 2.4.2 Application Interactivity; 2.4.3 Tolerance to Network Traffic Impairments; 2.5 Application Service Quality Metrics; 2.5.1 Service Availability; 2.5.2 Service Latency; 2.5.3 Service Reliability 327 $a2.5.4 Service Accessibility2.5.5 Service Retainability; 2.5.6 Service Throughput; 2.5.7 Service Timestamp Accuracy; 2.5.8 Application-Specific Service Quality Measurements; 2.6 Technical Service versus Support Service; 2.6.1 Technical Service Quality; 2.6.2 Support Service Quality; 2.7 Security Considerations; 3: Cloud Model; 3.1 Roles in Cloud Computing; 3.2 Cloud Service Models; 3.3 Cloud Essential Characteristics; 3.3.1 On-Demand Self-Service; 3.3.2 Broad Network Access; 3.3.3 Resource Pooling; 3.3.4 Rapid Elasticity; 3.3.5 Measured Service; 3.4 Simplified Cloud Architecture 327 $a3.4.1 Application Software3.4.2 Virtual Machine Servers; 3.4.3 Virtual Machine Server Controllers; 3.4.4 Cloud Operations Support Systems; 3.4.5 Cloud Technology Components Offered "as-a-Service"; 3.5 Elasticity Measurements; 3.5.1 Density; 3.5.2 Provisioning Interval; 3.5.3 Release Interval; 3.5.4 Scaling In and Out; 3.5.5 Scaling Up and Down; 3.5.6 Agility; 3.5.7 Slew Rate and Linearity; 3.5.8 Elasticity Speedup; 3.6 Regions and Zones; 3.7 Cloud Awareness; 4: Virtualized Infrastructure Impairments; 4.1 Service Latency, Virtualization, and the Cloud 327 $a4.1.1 Virtualization and Cloud Causes of Latency Variation4.1.2 Virtualization Overhead; 4.1.3 Increased Variability of Infrastructure Performance; 4.2 VM Failure; 4.3 Nondelivery of Configured VM Capacity; 4.4 Delivery of Degraded VM Capacity; 4.5 Tail Latency; 4.6 Clock Event Jitter; 4.7 Clock Drift; 4.8 Failed or Slow Allocation and Startup of VM Instance; 4.9 Outlook for Virtualized Infrastructure Impairments; II: Analysis; 5: Application Redundancy and Cloud Computing; 5.1 Failures, Availability, and Simplex Architectures; 5.2 Improving Software Repair Times via Virtualization 327 $a5.3 Improving Infrastructure Repair Times via Virtualization5.3.1 Understanding Hardware Repair; 5.3.2 VM Repair-as-a-Service; 5.3.3 Discussion; 5.4 Redundancy and Recoverability; 5.4.1 Improving Recovery Times via Virtualization; 5.5 Sequential Redundancy and Concurrent Redundancy; 5.5.1 Hybrid Concurrent Strategy; 5.6 Application Service Impact of Virtualization Impairments; 5.6.1 Service Impact for Simplex Architectures; 5.6.2 Service Impact for Sequential Redundancy Architectures; 5.6.3 Service Impact for Concurrent Redundancy Architectures 327 $a5.6.4 Service Impact for Hybrid Concurrent Architectures 330 $aThis book explains why applications running on cloud might not deliver the same service reliability, availability, latency and overall quality to end users as they do when the applications are running on traditional (non-virtualized, non-cloud) configurations, and explains what can be done to mitigate that risk. 606 $aCloud computing 606 $aApplication software$xReliability 606 $aQuality of service (Computer networks) 615 0$aCloud computing. 615 0$aApplication software$xReliability. 615 0$aQuality of service (Computer networks) 676 $a004.6782 700 $aBauer$b Eric$0479708 702 $aAdams$b Randee 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910830008403321 996 $aService quality of cloud-based applications$93940924 997 $aUNINA