Utility Computing
SpringerReference · 2011
Cited by 0
Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.
About 9,036 papers for “Utility computing”
SpringerReference · 2011
Cited by 0
Work Study · 2003
Cited by 0
George J. Feeney, Robert D. Hilton, Robert L. Johnson et al. · 1974
In 1905, approximately 50,000 small, privately-owned generating stations produced roughly half the total U.S. supply of electricity---largely for their own needs. Today, only about six percent of the nation's electric power is produced by such small local generating stations with the bulk of the country's power needs being met by some 200 large utilities.
Cited by 6Open access
Vijay Machiraju, Jerry Rolia, Aad Van Moorsel et al. · 2002
quality of business, management, web services, data center, utility computing IT systems are more critical to the success of business than ever before. As a best practice, organizations are documenting their business processes and corresponding dependencies on supporting IT systems. As a result they are better able to conduct cost-benefit analysis regarding business objectives and IT investments. In this paper we consider two recent technological advances- service composition and utility computing, and describe how they impact best practice. We introduce the notion of quality of business (QoBiz) and present a methodology that uses QoBiz to continuously direct service composition and utility computing. To facilitate the execution of such continuous QoBiz-driven adaptation, we introduce a distributed architecture of control systems that manages service level agreements. Last, we consider requirements on modeling technologies in support of these advances in QoBiz-driven service-centric computing.
Cited by 0
Sahai, Akhil, Wu, Felix · Lecture notes in computer science · 2004
Cited by 2
Ranjan Kumar Mondal, Debabrata Sarddar · International Journal of Grid and Distributed Computing · 2015
With the growing demand for computing resources and network capacity, providing scalable and reliable computing service on the Internet becomes a challenging issue. Recently more attention has been paid to the Utility Computing concept aiming to provide computing as a utility service similar to water and electricity. While the concept is very challenging in general we focus our attention in this chapter to a restrictive environment web applications, given the omnipresent use of web applications on the Internet, this environment is rich and important enough to warrant careful research. This paper describes the approaches and challenges in building such a computing platform.
Cited by 4Open access
Encyclopedia of Database Systems · 2009
Cited by 0
Resource Management · 2008
Cited by 0
Ördög, Péter · University of Debrecen Electronic Archive (University of Debrecen) · 2007
Cited by 0
Bruno Abrahao, Alex Zhang, Bruno Abrahao et al. · 2004
capacity planning, principal component analysis, workload model, trace characterization and generation We analyze CPU utilization traces of multiple applications running on a shared set of processors in a utility computing environment and apply PCA (Principal Component Analysis) technique to characterize each application's workload. We show that, in our dataset, the 12 applications under examination can be characterized by just three features, namely, periodic, noisy, and spiky. We then use these principal components for classifying applications, detrending the CPU usage behavior, and generating synthetic traces with amplification or suppression of the desired features. The workload characteristics that we derive using the PCA approach help application owners to better understand the behaviors of their applications, and also enable the system operator to better plan for capacity usage.
Cited by 0
Mark Denne · International Journal of Web Services Research · 2007
Utility computing is the emerging term for the delivery of information technology in a “payas-you go” model. It has attracted considerable attention as a means of delivering lower total cost of ownership (TCO) and more predictable service levels for in-house IT. At its heart, utility transformation allows IT consumers to switch from capital-based procurement of IT assets to operational cost procurement of IT services. Unsurprisingly, the change is closely linked with the adoption of service oriented architectures (SOA) and service oriented infrastructures (SOI). In fact, utility transformation often provides the overarching business and financial framework for driving a move to SOA. It defines the IT chargeback environment and the resulting compelling business context.Key to the success of utility transformation is the implementation of appropriate service pricing models. A variety of innovative pricing models can be used to improve service predictability, to create incentives for certain behaviors, and to manage the flow of notional revenue to the IT organization (ITO). They are invaluable to the SOA business case. This article examines several such models.
Cited by 4
Taneli Korri · 2015
Cloud computing has become a hot topic in the IT industry, as it allows people to buy computing resources in the same way as utility services like water and power. Cloud com-puting services are delivered over the Internet which makes them a viable alternative to building a own computing in-frastructure. This paper examines what cloud computing is and what kind of advantages it brings. In addition, this paper looks at the disadvantages and compares cloud computing to it’s near relative, grid computing.
Cited by 0
Iosr Journals, Ruchi P. Shirsat, Pallavi P. Deshpande · Figshare · 2015
Cited by 0Open access
Falkner, J., Weisbecker, A., Bart, J. · Fraunhofer-Publica (Fraunhofer-Gesellschaft) · 2006
S.179-184
Cited by 0
Chee Shin Yeo, Rajkumar Buyya, Marcos Dias de Assunção et al. · 2007
This chapter contains sections titled: Introduction Utility Grids Utility-Based Resource Allocation at Various Levels Industrial Solutions for Utility Computing Conclusion Acknowledgement Glossary Cross References References
Cited by 47
Yu Du, Yu-xuan Pan, Zi-Shu Yu et al. · Journal of Computer Science and Technology · 2026
Cited by 0
Iosr Journals, Ruchi P. Shirsat, Pallavi P. Deshpande · Figshare · 2015
Cited by 0Open access
Efren David, I Chris · 2004
Cited by 0
Chee Shin Yeo, Marcos Dias de Assunção, Jia Yu et al. · ArXiv.org · 2006
This chapter focuses on the use of Grid technologies to achieve utility computing. An overview of how Grids can support utility computing is first presented through the architecture of Utility Grids. Then, utility-based resource allocation is described in detail at each level of the architecture. Finally, some industrial solutions for utility computing are discussed.
Cited by 34Open access
Mainak Adhikari, Aditi Das, Akash Mukherjee · Advances in systems analysis, software engineering, and high performance computing book series · 2015
Utility computing is envisioned to be the next generation of Information Technology (IT) evolution that depicts how computing needs of users can be fulfilled in the future IT industry. Its analogy is derived from the real world where service providers maintain and supply utility services, such as electrical power, gas, and water to consumers. Consumers' providers the services based on their usage. Therefore, the underlying design of utility computing is based on a service provisioning model, where Consumers pay providers for using computing power only when they need to. This chapter first discuss some features, challenges and impacts of utility computing. Finally this chapter point out the important, standards and recommendation of utility computing in cloud platform with a suitable example.
Cited by 2