The proliferation of cloud computing allows scientists to deploy computation and data intensive applications without infrastructure investment, where large generated datasets can be flexibly stored with multiple cloud...
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The proliferation of cloud computing allows scientists to deploy computation and data intensive applications without infrastructure investment, where large generated datasets can be flexibly stored with multiple cloud service providers. Due to the pay-as-you-go model, the total application cost largely depends on the usage of computation, storage and bandwidth resources, and cutting the cost of cloud-based data storage becomes a big concern for deploying scientific applications in the cloud. In this paper, we propose a novel algorithm that can automatically decide whether a generated dataset should be 1) stored in the current cloud, 2) deleted and re-generated whenever reused or 3) transferred to cheaper cloud service for storage. The algorithm finds the trade-off among computation, storage and bandwidth costs in the cloud, which are three key factors for the cost of storing generated application datasets with multiple cloud service providers. Simulations conducted with popular cloud service providers' pricing models show that the proposed algorithm is highly cost-effective to be utilised in the cloud.
A robust approach for extracting template from images with relatively poor quality is presented in this paper. The approach combines fast Fourier transformation algorithm and weighted normalized cross correlation algo...
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For large amount of computation in elliptic curve cryptography, we combined with Message Linkage Recovery Based on Elliptic Curve and proposed a new signcryption scheme with message link recovery by signcryption equat...
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With the development of Internet, e-learning becomes a new modern teaching mode. Educational evaluation is an important part of network teaching system and an important means to improve the teaching quality. PSK-means...
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Association rules mining algorithm based on Rough Set theory is put forward using the idea of Rough Set theory, which applies the improved Apriori algorithm in association rules mining on the basis of Decision Table. ...
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In order to support generating crowd animation roles automatically based on a 3D animation prototype, an evolutionary modeling approach was proposed. The approach could generate a great deal of 3D animation modelings ...
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Authentication is the most basic prerequisite for secure communications. Authentication theory and technology play a key role in the application of modern cryptography. Cross-domain authentication among entities of di...
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The knowledge structure of the enterprise in cluster causes the difference among cognitive perspectives. In order to overcome the deficiency that the existing researches couldn't describe well the knowledge struct...
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Task assignment problem is one of the important research topics in a multi-agent system. It is desired to assign each task to a suited agent with a minimum total cost. For the advantages of memory, multi-character, lo...
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E-learning which uses the modern information technology method, realizes one kind of ideal learning environment and a new brand and fully manifesting students' main body function learning way, through the effectiv...
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