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Cloud Broker and Cloudlet for Workflow Scheduling / / by Chan-Hyun Youn, Min Chen, Patrizio Dazzi



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Autore: Youn Chan-Hyun Visualizza persona
Titolo: Cloud Broker and Cloudlet for Workflow Scheduling / / by Chan-Hyun Youn, Min Chen, Patrizio Dazzi Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (IX, 212 p. 92 illus., 48 illus. in color.)
Disciplina: 004.6782
Soggetto topico: Computer organization
Computational intelligence
Software engineering
Application software
Information technology
Business—Data processing
Computer Systems Organization and Communication Networks
Computational Intelligence
Software Engineering/Programming and Operating Systems
Information Systems Applications (incl. Internet)
IT in Business
Persona (resp. second.): ChenMin
DazziPatrizio
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: 1 Integrated Cloud Broker System and Its Experimental Evaluation -- 2 VM Placement via Resource Brokers in a Cloud Datacenter -- 3 Cost Adaptive Workflow Resource Broker in Cloud -- 4 A Cloud Broker System for Connected Car Services with an Integrated Simulation Framework -- 5 Mobile Device as Cloud Broker for Computation Offloading at Cloudlets -- 6 Opportunistic Task Scheduling over Co-Located Clouds -- 7 Mobility-Aware Resource Scheduling Cloudlets in Mobile Environment -- 8 Machine-learning based approaches for cloud brokering. .
Sommario/riassunto: This book blends the principles of cloud computing theory and discussion of emerging technologies in cloud broker systems, enabling users to realise the potential of an integrated broker system for scientific applications and the Internet of Things (IoT). Due to dynamic situations in user demand and cloud resource status, scalability has become crucial in the execution of complex scientific applications. Therefore, data analysts and computer scientists must grasp workflow management issues in order to better understand the characteristics of cloud resources, allocate these resources more efficiently and make critical decisions intelligently. Thus, this book addresses these issues through discussion of some novel approaches and engineering issues in cloud broker systems and cloudlets for workflow scheduling. This book closes the gaps between cloud programmers and scientific applications designers, describing the fundamentals of cloud broker system technology and the state-of-the-art applications in implementation and performance evaluation. The books gives details of scheduling structures and processes, providing guidance and inspiration for users including cloud programmers, application designers and decision makers with involvement in cloud resource management.
Titolo autorizzato: Cloud Broker and Cloudlet for Workflow Scheduling  Visualizza cluster
ISBN: 981-10-5071-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254814403321
Lo trovi qui: Univ. Federico II
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Serie: KAIST Research Series, . 2214-2541