Assured Cloud Computing by Charles A. Kamhoua & Kevin A. Kwiat & Roy H. Campbell

Author:Charles A. Kamhoua & Kevin A. Kwiat & Roy H. Campbell [Charles A. Kamhoua]
Language: eng
Format: epub
Publisher: Wiley-IEEE Computer Society Press
Published: 2018-10-01T16:00:00+00:00

6.3 State of the Art

Here, we summarize the state of the art for each of the individual challenges and systems covered in this chapter.

6.3.1 State of the Art: Reconfigurations in Sharded Databases/Storage

6.3.1.1 Database Reconfigurations

Research in distributed databases has focused on query optimization and load balancing [7], and orthogonally on using group communication for online reconfiguration [8]; however, that work has not solved the core algorithmic problems for efficient reconfiguration. Online schema change was targeted in Google [9], but the resultant availabilities were lower than those provided by Morphus and Parqua. In a parallel work, Elmore et al. [10] looked into the reconfiguration problem for a partitioned main memory database such as H-Store. Data placement in parallel databases has used hash-based and range-based partitioning [11,12], but optimality for reconfiguration has not been a goal.

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