为解决上述矛盾问题，提出了一种轻量级的、能量有效的、基于无损聚合的层次分簇数据收集机制(QTBDC)。
To solve the contradiction problem, a lightweight, energy efficient, in-network lossless aggregation and hierarchical cluster was proposed based on data collecting mechanism (QTBDC).
另外的解决方案，取决于具体的错误，可能是手工重建非聚簇索引，如果数据是静态的手工扔掉和重新载入表，诸如此类。
Additional solutions, depending on the errors, may be to manually rebuild non-clustered indexes, manually drop and reload a table if the data is static, and so on.
Peerset从数百万计的网站、档案、状态消息中提取数据，并整理成一系列关键词簇。
Peerset scrapes data from millions of sites, profiles and status messages and compiles a series of word clusters.
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