Network Performance (CloudMonk.io)

Network Performance



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Network performance refers to the network efficiency and network reliability of a network in delivering data between network devices, network servers, and network services. It is measured through various network metrics such as network latency, network throughput, network bandwidth, packet loss, and network jitter. A high-performing network ensures smooth communication between devices, supports high data transfer rates, and maintains low network delays even under high traffic conditions. Achieving optimal network performance is crucial for network applications such as real-time video conferencing, online gaming, and cloud computing services. The related RFC is RFC 791, which defines the Internet Protocol (IP), a critical element in ensuring efficient and scalable networking and communication across networks.
https://en.wikipedia.org/wiki/Internet_Protocol
https://tools.ietf.org/html/rfc791

Latency, one of the key metrics of network performance, refers to the time it takes for a data packet to travel from its source to its destination. Low latency is essential for time-sensitive applications like VoIP and video conferencing, where even small delays can degrade the user experience. RFC 1122 addresses the importance of minimizing latency in the design of internet hosts, providing guidelines for managing delays and improving TCP/IP performance.
https://en.wikipedia.org/wiki/Latency_(engineering)
https://tools.ietf.org/html/rfc1122

Throughput measures the amount of data successfully transmitted over a network within a given time period. High throughput is critical for bandwidth-intensive applications like video streaming and file transfers. Network performance can be optimized by using techniques such as load balancing and traffic shaping, which allocate resources efficiently and prevent bottlenecks. The related RFC is RFC 793, which defines the Transmission Control Protocol (TCP) and provides mechanisms for optimizing throughput in TCP/IP networks.
https://en.wikipedia.org/wiki/Throughput
https://tools.ietf.org/html/rfc793

Packet loss occurs when one or more data packets fail to reach their destination. High packet loss can severely impact network performance, causing delays, jitter, and degraded application performance. Reducing packet loss involves optimizing network infrastructure, managing congestion, and implementing error correction mechanisms. The related RFC is RFC 792, which defines the Internet Control Message Protocol (ICMP), used to diagnose network issues, including packet loss.
https://en.wikipedia.org/wiki/Packet_loss
https://tools.ietf.org/html/rfc792

Bandwidth refers to the maximum rate at which data can be transmitted over a network connection. While bandwidth is often associated with high network performance, it must be managed effectively to avoid congestion. Techniques such as Quality of Service (QoS) and traffic prioritization ensure that bandwidth is allocated to critical applications, improving overall performance. The related RFC is RFC 2475, which defines the Differentiated Services (DiffServ) architecture for providing scalable QoS in IP networks.
https://en.wikipedia.org/wiki/Bandwidth_(computing)
https://tools.ietf.org/html/rfc2475

Jitter refers to the variation in packet arrival times, which can cause disruptions in real-time applications like voice and video. Minimizing jitter is crucial for maintaining a consistent and smooth user experience, especially in VoIP and live streaming services. The related RFC is RFC 3550, which defines the Real-time Transport Protocol (RTP), a protocol used for delivering audio and video over networks with minimized jitter and delay.
https://en.wikipedia.org/wiki/Jitter
https://tools.ietf.org/html/rfc3550

Congestion is a common issue that negatively impacts network performance. When too many devices or applications attempt to use the network simultaneously, congestion can cause delays, packet loss, and degraded throughput. Techniques such as congestion control and traffic shaping are used to manage and alleviate congestion, ensuring that the network continues to perform efficiently. The related RFC is RFC 2581, which defines TCP congestion control algorithms designed to optimize performance in congested networks.
https://en.wikipedia.org/wiki/Congestion_control
https://tools.ietf.org/html/rfc2581

Network performance can also be influenced by the physical and logical layout of the network. Network architecture plays a crucial role in determining how data flows through the network, and the use of technologies such as hierarchical network design and software-defined networking (SDN) can enhance performance by improving traffic management and reducing bottlenecks. The related RFC is RFC 7426, which discusses the architectural principles of SDN and its impact on modern network performance.
https://en.wikipedia.org/wiki/Network_architecture
https://tools.ietf.org/html/rfc7426

Another important factor in optimizing network performance is the use of load balancing to distribute traffic across multiple servers or network paths. Load balancing ensures that no single device or link becomes overloaded, preventing performance degradation and increasing network reliability. The related RFC is RFC 7938, which discusses the use of BGP in large-scale data centers to achieve scalable and efficient network traffic management.
https://en.wikipedia.org/wiki/Load_balancing_(computing)
https://tools.ietf.org/html/rfc7938

Quality of Service (QoS) mechanisms are essential for maintaining high network performance in environments where different types of traffic have varying performance requirements. By prioritizing certain types of traffic, such as real-time voice or video, over less time-sensitive data, QoS ensures that critical applications maintain high performance even during periods of congestion. The related RFC is RFC 4594, which provides guidelines for configuring QoS policies to improve network reliability and performance.
https://en.wikipedia.org/wiki/Quality_of_service
https://tools.ietf.org/html/rfc4594

Security also plays a role in network performance. Security mechanisms such as firewalls, encryption, and intrusion detection systems can introduce delays, but they are essential for protecting the network from attacks and unauthorized access. To balance performance and security, network architects must optimize these mechanisms to minimize their impact on throughput and latency. The related RFC is RFC 5246, which defines the Transport Layer Security (TLS) protocol for secure, low-latency communication over networks.
https://en.wikipedia.org/wiki/Transport_Layer_Security
https://tools.ietf.org/html/rfc5246

Another critical element of network performance is monitoring and troubleshooting. Network administrators use tools such as Simple Network Management Protocol (SNMP) and ICMP-based tools like ping and traceroute to monitor the performance of devices and identify issues that may affect overall network health. Effective monitoring allows for early detection of performance issues, ensuring that problems can be resolved before they impact users. The related RFC is RFC 3411, which defines the architecture of SNMP-based management frameworks.
https://en.wikipedia.org/wiki/Simple_Network_Management_Protocol
https://tools.ietf.org/html/rfc3411

With the rise of cloud services, network performance in virtualized and cloud environments has become increasingly important. Cloud networks must be designed to provide high availability, low latency, and scalable performance across geographically distributed data centers. Virtualization technologies such as Network Function Virtualization (NFV) enable the dynamic allocation of resources, improving network flexibility and performance. The related RFC is RFC 8172, which provides guidelines for NFV and its impact on network efficiency.
https://en.wikipedia.org/wiki/Network_function_virtualization
https://tools.ietf.org/html/rfc8172

In addition to traditional metrics, network performance can be enhanced through traffic engineering, which involves the optimization of data flow across the network. Traffic engineering techniques, such as Multiprotocol Label Switching (MPLS), allow network administrators to define explicit paths for traffic, reducing congestion and improving overall efficiency. The related RFC is RFC 3031, which defines the MPLS architecture for efficient traffic management.
https://en.wikipedia.org/wiki/Traffic_engineering_(telecommunications)
https://tools.ietf.org/html/rfc3031

Network automation is becoming increasingly important in maintaining optimal network performance. Automated systems can monitor traffic patterns, detect anomalies, and dynamically adjust configurations to ensure that performance remains high even as conditions change. Automation reduces the need for manual intervention, allowing networks to self-optimize and scale more efficiently. The related RFC is RFC 6241, which defines the NETCONF protocol, used for automating network device configurations and improving performance management.
https://en.wikipedia.org/wiki/Network_automation
https://tools.ietf.org/html/rfc6241

The design of network protocols also plays a significant role in determining network performance. Protocols such as TCP and UDP have different characteristics that affect how data is transmitted across the network. TCP provides reliable, connection-oriented communication with flow control and error correction, while UDP offers faster, connectionless transmission with minimal overhead. The choice of protocol depends on the application's performance requirements. The related RFC is RFC 768, which defines UDP and highlights its use in low-latency applications.
https://en.wikipedia.org/wiki/User_Datagram_Protocol
https://tools.ietf.org/html/rfc768

Conclusion



The title of this RFC is "Internet Protocol." Network performance is a critical factor in ensuring the efficiency, reliability, and scalability of modern networks. By optimizing key metrics such as latency, throughput, packet loss, and jitter, network architects can design systems that meet the needs of a wide range of applications, from real-time communication to large-scale data transfers. Technologies such as QoS, load balancing, and network automation play an essential role in maintaining high performance, while tools such as SNMP and ICMP are used for monitoring and troubleshooting. As networks continue to grow and evolve, the principles outlined in RFC 791, RFC 7426, and RFC 8172 remain crucial in achieving and maintaining optimal performance.

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Network Performance Topics



Network performance encompasses topics in areas such as flow control, network congestion and network bandwidth.

Subcategories

This category has the following 7 subcategories, out of 7 total.

F

Forward proxy‎ (4 P)

N

Network scheduling algorithms‎ (24 P)

Q

Quality of service‎ (6 P)

Queueing theory‎ (3 C, 59 P)

R

Reverse proxy‎ (18 P)

T

Teletraffic‎ (1 C, 62 P)

W

WAN optimization‎ (10 P)

Pages in category "Network performance"

The following 99 pages are in this category, out of 99 total. This list may not reflect recent changes (learn more).


Network performance

A


* Active queue management
* Adaptive quality of service multi-hop routing
* AiScaler
* ALTQ
* Application-layer framing
* Application-Layer Protocol Negotiation
* Argus – Audit Record Generation and Utilization System
* Autonomic networking


B



* Bandwidth (computing)
* Bandwidth guaranteed polling
* Bandwidth management
* Bandwidth-delay product
* Best-effort delivery
* Bit error rate
* Blue (queue management algorithm)
* Bottleneck (engineering)
* Bottleneck (network)
* Broadband bonding
* Broadcast storm
* Bufferbloat
* Burstable billing
* BWPing


C



* CFosSpeed
* CoDel
* Committed information rate
* Cross-layer interaction and service mapping
* Customer Service Assurance



D



* Delay-gradient congestion control


E



* Edge computing
* Elephant flow
* Erlang (unit)
* Errored second
* Explicit Congestion Notification


F



* Flow control (data)
* Flowgrind
* Fully switched network


G



* Game theory in communication networks
* Goodput


H


* Hierarchical fair-service curve


I



* Intorel
* Iperf
* Iproute2


L



* Layered queueing network
* Link aggregation
* Load balancers, Load balancing
* Low-latency queuing



M



* Measuring network throughput
* Metrics (networking)
* Micro-bursting (networking) - Micro-bursting
* Mod qos
* Mouse flow


N



* NetEqualizer
* Netperf
* NetPIPE
* Network calculus
* Linear network coding
* Network congestion
* Network scheduler
* Network traffic control
* Network utility


O



* OpenNMS


P



* Packeteer
* Palm–Khintchine theorem
* Peak information rate
* List of performance analysis tools
* Performance tuning
* Performance-enhancing proxy
* PingER Project
* Proxy server


Q



* Quality of service
* Queueing theory


R



* Random early detection
* Robust random early detection
* Rate limiting
* Rendezvous delay


S



* Science DMZ Network Architecture
* Service assurance
* Sparrowiq
* Spatial capacity
* Spectral efficiency
* Speedof.me
* Speedtest.net
* Supernetwork
* Switching loop


T



* Tacit Networks
* TCP congestion control
* TCP pacing
* TCP tuning
* Telecom network protocol analyzer
* Throughput
* Time to first byte
* Token bucket
* Traffic classification
* Traffic policing (communications)
* Traffic shaping
* Ttcp


W



* WAN optimization
* Weighted random early detection
* Wide area application services
* Wireless intelligent stream handling


Categories: Network management, Information theory, Performance management