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adaptation scheme, an adaptive network-based fuzzy inference system (ANFIS) [8]
together with particle swarm optimization (PSO) approach [9], which has employed
for tuning seamless handoff and control traffic flow between different data
centers.The experimental results of remote data center backup using HBase and
Cassandra will show the assessment of their effectiveness and efficiency based on
cost-performance ratio [10].
2
Large-Scale Database in Data Center
This paper will realize remote data center backup for the two distributed databases
HBase and Cassandra. Both designs achieved two of the three characteristics that are
consistency (C), availability (A), and partition tolerance (P) in C.A.P theory [11].
HBase, a distributed database, works under the master-slave [12] framework, where
the master node assigns information to the slave node to realize the distributed data
storage, meanwhile emphasizing on consistency and partition tolerance
characteristics. Regarding remote data center backup, a certain data center with
HBase has the following advantages: (1) retain data consistency, (2) activate instant
reading or writing of massive information, (3) access to large-scale unstructured data,
(4) expand new slave nodes, (5) provide computing resources, and (6) prevent a
single-node failure problems in the cluster.
Cassandra, a distributed database, works under the peer-to-peer (P2P) [13]
framework, where each node contains totally identical backup information to realize
the distributed data storage with uninterrupted services, at the same time emphasizing
on availability and partition tolerance characteristics. As for remote data center
backup, a certain data center with Cassandra has the following advantages: (1) each
node shares equal information, (2) cluster setup is quick and simple, (3) dynamically
expand new nodes, (4) each node has the equal priority of its precedence, and (5)
cluster does not have a single-node failure problem.
3
Remote Data Center Backup
3.1
Remote HBase and Cassandra Data Centers Backup
In remote HBase data center backup architecture [14], the master cluster and slave
cluster must possess its own independent Zookeeper in a cluster [15]. The master
cluster will establish a copy code for the data center, and designate the location of the
replication, so to achieve offsite or remote data center backup between different sites.
In remote Cassandra data center backup architecture [16], Cassandra is of peer-to-peer
(P2P) framework connects all nodes together. When information is written into data
center A, a copy of the data is immediately backed up into a designated data center B,
as well, each node can designate a permanent storage location in a rack [17].
This paper expands the application of a single-cluster replication mechanism to the
replication of data center level. Through adjusting the replication mechanism between
data center and nodes, the corresponding nodes from two independent data centers are
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