Titlebook: Economics of Grids, Clouds, Systems, and Services; 12th International C J?rn Altmann,Gheorghe Cosmin Silaghi,Omer F. Rana Conference procee

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書目名稱Economics of Grids, Clouds, Systems, and Services影響因子(影響力)




書目名稱Economics of Grids, Clouds, Systems, and Services影響因子(影響力)學(xué)科排名




書目名稱Economics of Grids, Clouds, Systems, and Services網(wǎng)絡(luò)公開度




書目名稱Economics of Grids, Clouds, Systems, and Services網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Economics of Grids, Clouds, Systems, and Services被引頻次




書目名稱Economics of Grids, Clouds, Systems, and Services被引頻次學(xué)科排名




書目名稱Economics of Grids, Clouds, Systems, and Services年度引用




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書目名稱Economics of Grids, Clouds, Systems, and Services讀者反饋學(xué)科排名

Melodrama

Ulrich Meyer,Hans Peter Wiesmann a real multi-tenant SaaS financial risk analysis application. From our experiments, such tool reduced resource costs per day by 13?% on average in comparison to direct allocation of cloud provider resources.

REIGN

0302-9743 Clouds, Systems, and Services, GECON 2015, held in Cluj-Napoca, Romania, in September 2015...The 11 revised full papers and 10 paper-in-progress presented were carefully reviewed and selected from 38 submissions. The presentation sessions that have been set up are: resource allocation, service sele

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折磨

Dynamic Scheduling in Real Time with Budget Constraints in Hybrid Cloudst deadline. We propose an architecture that meets the challenges encountered by small business in their systems for tasks scheduling. We describe the main components, Configuration Agent and Task Scheduler, and we analyze different test scenarios, proving the efficiency of the proposed strategy.

折磨

0302-9743 ction in clouds, energy conservation and smart grids, applications: tools and protocols, community networks and legal and socio-economic aspects..978-3-319-43176-5978-3-319-43177-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

Terrace

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Optimizing Multi-tenant Cloud Resource Pools via Allocation of Reusable Time Slotslead to financial loss as applications may release resources much earlier than the end of the last allocated time slot, leaving the cost paid for the rest of the time unit wasted. This problem can be minimized for multi-tenant environments by managing resources as pools. This scenario is particularl

ectropion