Titlebook: Cloud Computing and Services Sciences; International Confer Markus Helfert,Frédéric Desprez,Victor Méndez Muno Conference proceedings 2015

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書(shū)目名稱Cloud Computing and Services Sciences影響因子(影響力)

書(shū)目名稱Cloud Computing and Services Sciences影響因子(影響力)學(xué)科排名

書(shū)目名稱Cloud Computing and Services Sciences網(wǎng)絡(luò)公開(kāi)度

書(shū)目名稱Cloud Computing and Services Sciences網(wǎng)絡(luò)公開(kāi)度學(xué)科排名

書(shū)目名稱Cloud Computing and Services Sciences被引頻次

書(shū)目名稱Cloud Computing and Services Sciences被引頻次學(xué)科排名

書(shū)目名稱Cloud Computing and Services Sciences年度引用

書(shū)目名稱Cloud Computing and Services Sciences年度引用學(xué)科排名

書(shū)目名稱Cloud Computing and Services Sciences讀者反饋

書(shū)目名稱Cloud Computing and Services Sciences讀者反饋學(xué)科排名

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An Economic Model for Utilizing Cloud Computing Resources via Pricing Elasticity of Demand and Supplre demands. These variables are Pricing Elasticity of Demand (PEoD) and Pricing Elasticity of Provisioning (PEoP). To leverage the pricing elasticity of upcoming demand and supply, we employ financial option theory as a method to alleviate the risk in resource provisioning over future demands. Our a

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Reducing Complexity in Service Development and Integration reduce the learning requirements and complexity of building distributed systems. In this work we address reduction of complexity in service-oriented software development and present an approach and a toolkit for multi-language service development based on three building blocks: a simplified service

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A Scalable Monitor for Large Systemslobal state conditions, inability in guaranteeing persistence in service delivery, and the impossibility of monitoring multi-tenant applications. In this paper, we present a novel monitoring architecture that strives to address these problems. It integrates a hierarchical scheme to monitor the resou

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