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Resource management

About: Resource management is a(n) research topic. Over the lifetime, 33630 publication(s) have been published within this topic receiving 710547 citation(s). more


Open accessBook ChapterDOI: 10.1007/978-1-349-15486-9_13
Kenneth J. Arrow1Institutions (1)
Abstract: Invention is here interpreted broadly as the production of knowledge. From the viewpoint of welfare economics, the determination of optimal resource allocation for invention will depend on the technological characteristics of the invention process and the nature of the market for knowledge. more

7,490 Citations

Journal ArticleDOI: 10.2307/256406
Fariborz Damanpour1Institutions (1)
Abstract: A meta-analysis of the relationships between organizational innovation and 13 of its potential determinants resulted in statistically significant associations for specialization, functional differe... more

Topics: Resource management (61%), Organizational behavior (56%), Resource allocation (53%) more

6,403 Citations

Journal ArticleDOI: 10.1016/J.FUTURE.2008.12.001
Rajkumar Buyya1, Chee Shin Yeo1, Srikumar Venugopal1, James Broberg1  +1 moreInstitutions (2)
Abstract: With the significant advances in Information and Communications Technology (ICT) over the last half century, there is an increasingly perceived vision that computing will one day be the 5th utility (after water, electricity, gas, and telephony). This computing utility, like all other four existing utilities, will provide the basic level of computing service that is considered essential to meet the everyday needs of the general community. To deliver this vision, a number of computing paradigms have been proposed, of which the latest one is known as Cloud computing. Hence, in this paper, we define Cloud computing and provide the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs). We also provide insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA)-oriented resource allocation. In addition, we reveal our early thoughts on interconnecting Clouds for dynamically creating global Cloud exchanges and markets. Then, we present some representative Cloud platforms, especially those developed in industries, along with our current work towards realizing market-oriented resource allocation of Clouds as realized in Aneka enterprise Cloud technology. Furthermore, we highlight the difference between High Performance Computing (HPC) workload and Internet-based services workload. We also describe a meta-negotiation infrastructure to establish global Cloud exchanges and markets, and illustrate a case study of harnessing 'Storage Clouds' for high performance content delivery. Finally, we conclude with the need for convergence of competing IT paradigms to deliver our 21st century vision. more

Topics: Utility computing (68%), Cloud computing (67%), Cloud computing security (63%) more

5,544 Citations

Journal ArticleDOI: 10.1126/SCIENCE.1172133
Elinor Ostrom1, Elinor Ostrom2Institutions (2)
24 Jul 2009-Science
Abstract: A major problem worldwide is the potential loss of fisheries, forests, and water resources Understanding of the processes that lead to improvements in or deterioration of natural resources is limited, because scientific disciplines use different concepts and languages to describe and explain complex social-ecological systems (SESs) Without a common framework to organize findings, isolated knowledge does not cumulate Until recently, accepted theory has assumed that resource users will never self-organize to maintain their resources and that governments must impose solutions Research in multiple disciplines, however, has found that some government policies accelerate resource destruction, whereas some resource users have invested their time and energy to achieve sustainability A general framework is used to identify 10 subsystem variables that affect the likelihood of self-organization in efforts to achieve a sustainable SES more

Topics: Resource management (58%), Sustainability (55%), Natural resource (55%) more

4,583 Citations

Journal ArticleDOI: 10.1002/SPE.995
Abstract: Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as ‘services’ to end-users under a usage-based payment model. It can leverage virtualized services even on the fly based on requirements (workload patterns and QoS) varying with time. The application services hosted under Cloud computing model have complex provisioning, composition, configuration, and deployment requirements. Evaluating the performance of Cloud provisioning policies, application workload models, and resources performance models in a repeatable manner under varying system and user configurations and requirements is difficult to achieve. To overcome this challenge, we propose CloudSim: an extensible simulation toolkit that enables modeling and simulation of Cloud computing systems and application provisioning environments. The CloudSim toolkit supports both system and behavior modeling of Cloud system components such as data centers, virtual machines (VMs) and resource provisioning policies. It implements generic application provisioning techniques that can be extended with ease and limited effort. Currently, it supports modeling and simulation of Cloud computing environments consisting of both single and inter-networked clouds (federation of clouds). Moreover, it exposes custom interfaces for implementing policies and provisioning techniques for allocation of VMs under inter-networked Cloud computing scenarios. Several researchers from organizations, such as HP Labs in U.S.A., are using CloudSim in their investigation on Cloud resource provisioning and energy-efficient management of data center resources. The usefulness of CloudSim is demonstrated by a case study involving dynamic provisioning of application services in the hybrid federated clouds environment. The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns. Copyright © 2010 John Wiley & Sons, Ltd. more

Topics: CloudSim (75%), Cloud computing (64%), Provisioning (63%) more

4,079 Citations

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Topic's top 5 most impactful authors

Rajkumar Buyya

101 papers, 26.9K citations

Zhu Han

37 papers, 2K citations

Weihua Zhuang

34 papers, 950 citations

Dusit Niyato

29 papers, 1.8K citations

Ekram Hossain

19 papers, 850 citations

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