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authorManish Kumar <manishjpiet@gmail.com>2019-01-25 14:47:15 +0530
committerManish Kumar <manishjpiet@gmail.com>2019-01-25 14:48:44 +0530
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treedb1212f18ecd83132d9311b01f233b50c4b1cf92 /docs/architecture.rst
parent29056ff8d72d4f50073f6993ee6bd1b7ee7caf91 (diff)
Updated:Typo
Issue-ID: DOC-389 Change-Id: I32e5b934056b85f5e94ca299492a4bbedf3713fb Signed-off-by: Manish Kumar <manishjpiet@gmail.com>
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Project Description
-------------------
-To achieve 5 9s of availability on 3 9s or lower software and infrastructure in a cost-effective manner, ONAP components need to work in a reliable, active-active manner across multiple sites (platform-maturity resiliency level 3). A fundamental aspect of this is state management across geo-distributed sites in a reliable, scalable, highly available and efficient manner. This is an important and challenging problem because of three fundamental reasons:
+To achieve five 9s of availability on three 9s or lower software and infrastructure in a cost-effective manner, ONAP components need to work in a reliable, active-active manner across multiple sites (platform-maturity resiliency level 3). A fundamental aspect of this is state management across geo-distributed sites in a reliable, scalable, highly available and efficient manner. This is an important and challenging problem because of three fundamental reasons:
- Current solutions for state-management of ONAP components like MariaDB clustering, that work very effectively within a site, may not scale across geo-distributed sites (e.g., Beijing, Amsterdam and Irvine) or allow partitioned operation (thereby compromising availability). This is mainly because WAN latencies are much higher across sites and frequent network partitions can occur.