The Meizo RD588 series Dual SIM 4G Ethernet wireless router is designed to offer a backup 3G/4G network when the primary network fails. The router is using Broadcom chipset, integrated with WAN, LAN, SIM, VPN, VRRP, WiFi, and Serial port services, product line supporting the following radio access technologies: LTE, HSPA+, HSPA, UMTS, EDGE, CDMA2000, GPRS . By owning automatic connection monitoring and heartbeat detection, make sure the router to be always online.
The router is using Industrial Grade equipment design standards, passed CE and EMC test, stable and reliable. External antenna connectors make it possible to attach desired antennas and to easily find the best signal location. Multiple encryption protocols as L2TP, IPSec, PPTP and GRE are owned, making it ideal solution for applications in which high data bandwidth and strong stability is required.
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Main Features |
Hardware Specifications |
Software Functions |
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● Support public and private APN network |
CPU |
VPN |
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Model |
Frequency Band |
Bandwidth(UL/DL) |
Consumption |
WiFi (-W) |
Serial(-S) |
Power |
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RD58A |
● FDD-LTE: 2100MHz(B1),1900MHz(B2), 1800MHz(B3), AWS(B4), 850MHz(B5), 2600MHz(B7),700MHz(B12),700MHz(B13), 800MHz(B20), 1900MHz(B25), 850MHz(B26), 700MHz(B29), 2300MHz(B30), |
FDD-LTE:50Mbps/300Mbps |
Work:0.46A@12V DC |
802.11n 300Mbps Option |
RS232/RS485 Option |
US/EU standard Option |
|
RD58C |
● FDD-LTE: 2100MHz(B1), 1800MHz(B3), 900MHz(B8) |
FDD-LTE:50Mbps/150Mbps |
Work:0.41A@12V DC |
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RD58E (Europe Asia network) |
● FDD-LTE: 2100MHz(B1), 1800MHz(B3), 850MHz(B5), 2600MHz(B7), 900MHz(B8), 800MHz(B20) |
FDD-LTE:50Mbps/150Mbps |
Work:0.41A@12V DC |
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|
RD58J |
● FDD-LTE: 2100MHz(B1), 1800MHz(B3), 850MHz(B5), 2600MHz(B7), 900MHz(B8), 800MHz(B18), 800MHz(B19), 1500MHz(B21), 700MHz(B28), |
FDD-LTE:50Mbps/300Mbps |
Work:0.46A@12V DC |
What does "failover" mean?
In computing and related technologies such as networking, failover is switching to a redundant or standby computer server, system, hardware component or network upon the failure or abnormal termination of the previously active application,[1] server, system, hardware component, or network. Failover and switchover are essentially the same operation, except that failover is automatic and usually operates without warning, while switchover requires human intervention.
Systems designers usually provide failover capability in servers, systems or networks requiring near-continuous availability and a high degree of reliability.
At the server level, failover automation usually uses a "heartbeat" system that connects two servers, either through using a separate cable (for example, RS-232serial ports/cable) or a network connection. As long as a regular "pulse" or "heartbeat" continues between the main server and the second server, the second server will not bring its systems online. There may also be a third "spare parts" server that has running spare components for "hot" switching to prevent downtime. The second server takes over the work of the first as soon as it detects an alteration in the "heartbeat" of the first machine. Some systems have the ability to send a notification of failover.
Certain systems, intentionally, do not failover entirely automatically, but require human intervention. This "automated with manual approval" configuration runs automatically once a human has approved the failover.
Failback is the process of restoring a system, component, or service previously in a state of failure back to its original, working state, and having the standby system go from functioning back to standby.
The use of virtualization software has allowed failover practices to become less reliant on physical hardware through the process referred to as migration in which a running virtual machine is moved from one physical host to another, with little or no disruption in service.
Computer scientists talk about active and passive replication in systems that replicate data or services:
· active replication is performed by processing the same request at every replica.
· passive replication involves processing each single request on a single replica and then transferring its resultant state to the other replicas.
If at any time one master replica is designated to process all the requests, then we are talking about the primary-backup scheme (master-slave scheme) predominant in high-availability clusters. On the other side, if any replica processes a request and then distributes a new state, then this is a multi-primaryscheme (called multi-master in the database field). In the multi-primary scheme, some form of distributed concurrency control must be used, such as distributed lock manager.
Load balancing differs from task replication, since it distributes a load of different (not the same) computations across machines, and allows a single computation to be dropped in case of failure. Load balancing, however, sometimes uses data replication (especially multi-master replication) internally, to distribute its data among machines.
Backup differs from replication in that it saves a copy of data unchanged for a long period of time.[3] Replicas, on the other hand, undergo frequent updates and quickly lose any historical state. Replication is one of the oldest and most important topics in the overall area of distributed systems.
Whether one replicates data or computation, the objective is to have some group of processes that handle incoming events. If we replicate data, these processes are passive and operate only to maintain the stored data, reply to read requests, and apply updates. When we replicate computation, the usual goal is to provide fault-tolerance. For example, a replicated service might be used to control a telephone switch, with the objective of ensuring that even if the primary controller fails, the backup can take over its functions. But the underlying needs are the same in both cases: by ensuring that the replicas see the same events in equivalent orders, they stay in consistent states and hence any replica can respond to queries.
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