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After we knew it: Empirical study and modeling of cost-effectiveness of exploiting prevalent known vulnerabilities across iaas cloud
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A flexible qos fortified distributed key-value storage system for the cloud
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Workload analysis of a large-scale key-value store
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Mica: A holistic approach to fast in-memory key-value storage
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ZHT: A light-weight reliable persistent dynamic scalable zero-hop distributed hash table
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Tonglin Li, Xiaobing Zhou, Kevin Brandstatter, Dongfang Zhao, Ke Wang, Anupam Rajendran, Zhao Zhang, and Ioan Raicu. ZHT: A light-weight reliable persistent dynamic scalable zero-hop distributed hash table. IPDPS '13.
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Exploring distributed hash tables in highend computing
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Tonglin Li, Raman Verma, Xi Duan, Hui Jin, and Ioan Raicu. Exploring distributed hash tables in highend computing. SIGMETRICS Performance Evaluation Review, 2011.
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A convergence of key-value storage systems from clouds to supercomputers
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Fusionfs: Towards supporting data-intensive scientific applications on extreme-scale high-performance computing systems
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Optimizing load balancing and data-locality with data-aware scheduling
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Ke Wang, Xiaobing Zhou, Tonglin Li, Michael Lang, and Ioan Raicu. Optimizing load balancing and data-locality with data-aware scheduling. IEEE BigData'14.
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Overcoming Hadoop scaling limitations through distributed task execution
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Ke Wang, Ning Liu, Iman Sadooghi, Xi Yang, Xiaobing Zhou, Tonglin Li, Michael Lang, Xian-He Sun, and Ioan Raicu. Overcoming Hadoop scaling limitations through distributed task execution. IEEE Cluster'15, 2015.
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Load-balanced and locality-aware scheduling for data-intensive workloads at extreme scales
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Fabriq: Leveraging distributed hash tables towards distributed publish-subscribe message queues
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GRAPH/Z: A key-value store based scalable graph processing system
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