Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

A network is a typical expressive form of representing complex systems in terms of vertices
and links, in which the pattern of interactions amongst components of the network is intricate …

Low-level criminals, who do the legwork in a criminal organization, are the most likely to be
arrested, whereas the high-level ones tend to avoid attention. But crippling the work of …

Because communities are the fundamental component of big data/large data network
graphs, community detection in large-scale graphs is an important area to study …

Our objective will be to integrate ML into Fermilab accelerator operations and furthermore
provide an accessible framework which can also be used by a broad range of other …

针对Storm 存在低效率, 高能耗的问题, 通过分析Storm 平台的基本框架与拓扑结构,
设计了资源约束模型, 最优线程数据重组原则和节点降压原则, 并在此基础上提出了基于Storm …

The continuous occurrence of blackouts due to cascading failures and voltage instability
which has the effect of damaging several components within the grid has of recent been …

The development of scalable, representative, and widely adopted benchmarks for graph
data systems have been a question for which answers has been sought for decades. We …

Importance of nodes and tie strength are necessary elements to characterize and analyze
networks, as well as to study the processes that occur in their interior. We believe that it is …

Recent work on graph generative models has made remarkable progress towards
generating increasingly realistic graphs, as measured by global graph features such as …