Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

By Rajkumar Buyya, Chee Shin Yeo, Srikumar Venugopal. IEEE International Conference on High Performance Computing and Communications, 2008

1,879 citations recorded by the source corpus.

This keynote paper: presents a 21st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21st century vision.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/325f4787a40c14518529a64332b801e6f53b22d7

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Citations in the corpus

A Survey of Computation Offloading for Mobile Systems (2012, background): “Several other articles discussing cloud computing applications, research, and implementations can be found in [11, 12, 31, 55, 73, 78].”
Dynamic Scaling of Web Applications in a Virtualized Cloud Computing Environment (2009, background): “Cloud Computing [1] [2] [3] is becoming an increasingly popular enterprise model in which computing resources are made available on-demand to the user as needed.”
Energy Efficient Allocation of Virtual Machines in Cloud Data Centers (2010, positive): “This technology allows one to consolidate several servers to one physical node as Virtual Machines (VMs) reducing the amount of the hardware in use.”
CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services (2009, background): “…data centers by architecting them as a network of virtual services (hardware, database, user-interface, application logic) so that users are able to access and deploy applications from anywhere in the world on demand at competitive costs depending on users QoS (Quality of Service) requirements [1].”
Technological, organisational and environmental factors influencing managers' decision to adopt cloud computing in the UK (2015, background): “…are provided as-a-service over the Internet to multiple external customers, using interconnected and virtualised computers that allocate resources based on service-level agreements negotiated between service provider and end user (Buyya et al., 2008; Kumar and Ravali, 2012; Noor et al., 2013).”
High-Performance Cloud Computing: A View of Scientific Applications (2009, background): “[17] who define a Cloud as a “type of parallel and”
CloudBLAST: Combining MapReduce and Virtualization on Distributed Resources for Bioinformatics Applications (2008, background): “The currently popular notion of " cloud computing " [17][18][19], while imprecisely defined, broadly refers to the use of managed distributed resources to deliver services to multiple users, often using virtualization to provision execution environments as needed by applications and users.”
Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities (2009, background): “…and distributed system consisting of a collection of inter-connected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and consumers” [1].”
GreenCloud: a new architecture for green data center (2009, background): “As stated in [3], a cloud is a type of parallel and distributed system consisting of a collection of interconnected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation…”
Energy Efficient Resource Management in Virtualized Cloud Data Centers (2010, neutral): “The recently emerged Cloud computing paradigm [4] leverages virtualization technology and provides the ability to provision resources on-demand on the pay-as-you-go basis.”
Cloud Computing - The Business Perspective (2011, neutral): “For those applications that cannot be currently moved to a cloud, organizations will still benefit from empirical research that outlines the best-of-breed solutions [57] that can be set as benchmarks.”
Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers (2010, positive): “The Cloud computing model leverages virtualization of computing resources allowing customers to provision resources on-demand on a pay-as-you-go basis [4].”