Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures

Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures

One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made cloud so popular do not come without challenges. It is particularly challenging to decide which......
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<p>One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem.</p><p><b>Reliable and Intelligent Optimization in Multi-Layered Cloud Computing</b><b>Architectures </b>examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placeme
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One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem.Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include:Improving QoS and resource efficiencyFault tolerant and reliable resource optimization modelsA reactive fault tolerance method using checkpointing restartCost and network-aware metaheuristics.Virtual machine scheduling and placementElectricity consumption in cloud data centersWritten by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services.

Produktinformasjon

Optimalisering av skyinfrastruktur med Reliable and Intelligent Optimization

Oppdag Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures, et banebrytende verk som gir deg dyp innsikt i hvordan moderne skyinfrastrukturer kan optimaliseres for maksimal ytelse og effektivitet. Med økt bruk av skyen, er det viktigere enn noensinne å forstå de komplekse utfordringene rundt ressursallokering og energiforbruk.

Hvordan boken adresserer komplekse utfordringer

For enhver som jobber med skycomputing, er ressurshåndtering en av de største utfordringene. Denne boken presenterer effektive teknikker for:

  • Plassering av virtuelle maskiner: Lær hvordan du fordeler ressurser på en måte som maksimerer ytelse samtidig som energiforbruket reduseres.
  • Oppgaveplanlegging: Oppdag metoder for optimal oppgavefordeling som minimerer kostnader og nettverksbelastning.
  • Feiltoleranse og pålitelighet: Få innblikk i reactive fault tolerance metoder som bruker checkpointing for rask gjenoppretting.

Forbedre kvaliteten på tjenestene med Intelligent Optimization

Boken fokuserer også på hvordan man kan forbedre kvaliteten på tjenestene (QoS) i serviceorientert arkitektur (SOA). De mest imponerende funksjonene inkluderer:

  • Flere mål: Få en optimal løsning på flere dimensjoner av optimalisering.
  • Matematisk tilnærming: Utvikle kostnads- og nettverksbevisste metaheuristikker som fungerer i praksis.
  • Datainnsamling: Studiere strømforbruket i skydata sentre for bedre ressursnavigering.

Få fremtidsrettede løsninger

Skrevet av ledende eksperter innen feltet, gir Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures en omfattende guide til dem som ønsker å forbedre tjenestene i skyen. Enten du er en nybegynner eller en erfaren profesjonell, vil du finne verdifulle verktøy og teknikker som kan transformere måten du jobber med skyen på.

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