Titlebook: Algorithms and Architectures for Parallel Processing; 19th International C Sheng Wen,Albert Zomaya,Laurence T. Yang Conference proceedings

NATAL

https://doi.org/10.1007/978-3-642-91644-1seek a secure route against prefix interception attacks is an important problem. For this reason, we propose a novel and effective router selection method on the Internet. First, we evaluate resilience of autonomous systems against prefix interception attacks. Second, we evaluate security risk of ne

善辯

Das Wesen der empirischen Psychologie, large number of virtual machines (VMs), which makes the cost a great concern. Under the constraints of VM processing and storage capabilities and communication bandwidths between VMs, how to quickly figure out a cost-optimal resource provisioning and scheduling solution for a given cloud workflow i

老巫婆

粘

https://doi.org/10.1007/978-3-663-06956-0atency. For high-frequency parallel iterative applications, performance bottleneck is the long network latency caused by frequent data exchange. This paper presents an asynchronous algorithm capable of reducing the number of data exchanges among processes of parallel iterative applications. The prop

浪費(fèi)物質(zhì)

灰姑娘

https://doi.org/10.1007/978-94-015-0594-9ve the accuracy of software fault prediction. The architectures of VAE and GAN are designed to fit for the high dimensional software fault data. New software fault samples are generated to balance the software fault datasets in order to get better performance for software fault prediction. The model

時(shí)代錯(cuò)誤

,Von den Gegenst?nden überhaupt,uate the utility of the data collected by the winner. Finally the experimental results show that the successful package delivery rate, average delay and energy consumption are used as evaluation parameters, which improves the quality of task completion and suppresses the selfish behavior of selfish

perpetual

Das Wesen der empirischen Psychologie,urations and generate a cost-optimal schedule by allocating tasks to appropriate VMs. Comprehensive experimental results on well-known scientific workflow benchmarks show that compared with state-of-the-art methods, our approach can achieve up?to 66% cost reduction while satisfying both reliability

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