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Modeling virtualized applications using machine learning techniques
TLDR
We propose and refine the use of two machine learning techniques to model the performance of a VM-hosted application as a function of the resources allocated to the VM and the resource contention it experiences. Expand
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World Wide Wait: A Study of Internet Scalability and Cache-Based Approaches to Alleviate It
TLDR
The Internet is growing rapidly in terms of both use and infrastructure. Expand
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Proxy-based acceleration of dynamically generated content on the world wide web: an approach and implementation
TLDR
In this paper, we present an approach and an implementation of a dynamic proxy caching technique which combines the benefits of both proxy-based and back end caching approaches, yet does not suffer from their above-mentioned limitations. Expand
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Dynamic Price Prediction for Amazon Spot Instances
TLDR
We provide a novel algorithm for spot price prediction for dynamic pricing of cloud resources in the data centers across the globe. Expand
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Application performance modeling in a virtualized environment
TLDR
We identify a key set of virtualization architecture independent parameters that influence application performance in a virtualized environment and demonstrate that these are sufficient to create accurate performance models. Expand
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Identifying Fake Profiles in LinkedIn
TLDR
We identify the minimal set of profile data that are necessary for identifying fake profiles in LinkedIn and identify the appropriate data mining approach for such task. Expand
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Modeling of financial supply chain
TLDR
We study the flow of money in supply chain from the viewpoint of a supply chain partner who receives money from the downstream partners and makes payments to the upstream partners. Expand
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Building a Scalable Database-Driven Reverse Dictionary
TLDR
In this paper, we describe the design and implementation of a reverse dictionary. Expand
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