2009/01/01 by Rajkumar Buyya, Suraj Pandey, Christian Vecchiola
Computer Science · #Cloud Computing and Resource Management #Cloud computing #Cloud computing security #Cloud testing #CloudSim #Computer network #Computer science #Distributed and Parallel Computing Systems #Distributed computing #Grid #Grid computing #Operating system #Peer-to-Peer Network Technologies #Resource allocation #Resource management (computing) #Service-oriented architecture #Software deployment #Software engineering #Utility computing #Virtual machine #Web service #World Wide Web #cs.DC
paper · pdf · doi:10.1007/978-3-642-10665-1_4
published as Proceeding of the 1st International Conference on Cloud Computing (CloudCom 2009, Springer, Germany), Beijing, China, December 1-4, 2009 · 21 pages, 6 figures, 2 tables, Conference paper
openalex publication_date 2009/01/01 · arxiv created 2009/10/11 · arxiv updated 2015/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
This keynote paper: (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver computing as a utility; (2) defines the architecture for creating market-oriented Clouds and computing atmosphere by leveraging technologies such as virtual machines; (3) 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; (4) presents the work carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a Service software system containing SDK (Software Development Kit) for construction of Cloud applications and deployment on private or public Clouds, in addition to supporting market-oriented resource management; (ii) internetworking of Clouds for dynamic creation of federated computing environments for scaling of elastic applications; (iii) creation of 3rd party Cloud brokering services for building content delivery networks and e-Science applications and their deployment on capabilities of IaaS providers such as Amazon along with Grid mashups; (iv) CloudSim supporting modelling and simulation of Clouds for performance studies; (v) Energy Efficient Resource Allocation Mechanisms and Techniques for creation and management of Green Clouds; and (vi) pathways for future research.