Technology advantages of BMSs

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Technology advantages of BMSs:
1. Hybrid Deployment and Flexible Networking
BMSs within an AZ can communicate with each other through an internal network. VPCs can be used to connect BMSs and external resources. You can also use BMSs together with other services, such as ECS, to achieve hybrid deployment and offer flexible networking to meet requirements in complex application scenarios.
2. High Stability and Reliability, and Optimal Performance
The BMS service provides dedicated BMSs for tenants. The tenants can exclusively enjoy stable performance provided by physical servers, meeting such service requirements as high-performance, stability, data security, and regulation.
3. High Throughput and Low Latency
The BMS provides tenants with a high-throughput and low-latency network in an AZ. The BMS service can provide a maximum bandwidth of 10 Gbit/s and a minimum latency of 25 μs. This network can be used in scenarios requiring high throughput and low latency. For example, you can use the network on the Oracle RAC heartbeat network plane.

Other related questions:
Application scenarios of BMSs
BMSs are used in the following scenarios: 1. Security- and Monitoring-Demanding Scenario Financial and securities industries have compliance requirements on service deployment, and some customers have strict data security requirements. The BMS service ensures exclusive, dedicated resource use, data isolation, as well as operation monitoring and tracking. 2. High-Performance Computing Scenario High-performance computing, such as the supercomputer center and genome sequencing, needs to process a large amount of data. Therefore, these scenarios require high computing performance, stability, and timeliness. BMSs can meet your high-performance computing requirements for performance overheads caused by virtualization and hyperthreading have few impacts on BMSs. 3. Core Database Scenario Some key database services cannot be deployed on VMs and must be deployed on physical servers that have dedicated resources, isolated networks, and assured performance. The BMS service provides high-performance servers dedicated for individual users, meeting user requirements in this scenario.

Advantages of Spark
1. Spark improves the data processing capability by as much as 10 to 100 times over the capabilities of MapReduce. It does this by using distributed memory computing and a Directed Acyclic Graph (DAG) engine. 2. Spark supports multiple development languages including Scala, Java, and Python. It supports dozens of highly abstract operators. This flexibility facilitates the construction of distributed data processing applications. 3. Spark provides one-stop data processing capability by working with SQL, Streaming, MLlib, and GraphX to form data processing stacks. 4. Spark can run in standalone, Mesos, or Yarn mode. It can access HDFS, HBase, and Hive data sources. It supports smooth swift from MapReduce. All of these functions allow Spark to easily fit into the Hadoop ecosystem.

Advantages of IGMP Snooping
When there are multicast services, IGMP Snooping used on Layer 2 devices brings the following advantages: Saves network bandwidth. Improves information security because packet services are independently forwarded using VLANs. Reduces interruption time of multicast services and enhances reliability because network topology changes can be sensed in a timely manner.

Related services
Related Services: Virtual Private Cloud (VPC) VPC enables you to configure a logically isolated network for your BMSs and to configure security groups, VPN, IP address segments, and bandwidth. With a VPC, you can manage and configure internal networks and change network configurations in a safe and swift way. You can also customize access rules to control BMS access within a security group and across different security groups to enhance BMS security. Elastic Volume Service (EVS) EVS enables you to attach EVS disks to a BMS and expand their capacity. Image Management Service (IMS) IMS enables you to use public images to create BMSs, improving BMS deployment efficiency.

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