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Everything about WAN optimization
Techniques for improving data transfer over wide area networks
WAN optimization is a collection of techniques for improving data transfer across wide area networks (WANs). In 2008, the WAN optimization market was estimated to be $1 billion, and was to grow to $4.4 billion by 2014 according to Gartner, a technology research firm. In 2015, Gartner estimated the WAN optimization market to be a $1.1 billion market. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: WAN optimizationA 5-minute orientation
- Skim a recent paper: Request delay and survivability optimization for software defined‐wide area networking (SD‐WAN) using multi‐agent deep reinforcement learningInfluential work since 2022
- Pick up a classic book: Private cloud computingThe most-reprinted book on the subject
- Read the landmark paper: Efficient parallel LAN/WAN algorithms for optimization. The mallba projectCited 48 times
- Go sideways: Traffic shapingA closely related topic
- Go sideways: SD-WANA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Efficient parallel LAN/WAN algorithms for optimization. The mallba project
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning
Modeling and optimization of packet forwarding performance in software-defined WAN
Parallel LAN/WAN heuristics for optimization
Research on performance optimization of virtual data space across WAN
WOCP: Controller Placement using Whale Optimization in SDN-WAN
WAN Optimization to Speed up Data Transfer
Performance Optimization in SD-WAN Using Bucket-Based Packet Aggregation Algorithm
🆕 Influential since 2022
Request delay and survivability optimization for software defined‐wide area networking (SD‐WAN) using multi‐agent deep reinforcement learning
MTEAL: Network routing optimization of SD-WAN traffic engineering integrating multi-dimensional QoS metrics
Performance Evaluation of Outgoing Interface Selection Method on Fortigate SD-WAN for Network Optimization
A Reinforcement Learning-Based Adaptive Routing Framework for Real-Time Optimization in SD-WAN Environments
SD-WAN SLA Optimization Using Fortigate NGFW Firewall Policy: A Case Study of XYZ Institution
📚 Books worth reading
Private cloud computingStephen R. Smoot · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Traffic shaping Traffic shaping is a bandwidth management technique used on computer networks which delays some or all datagrams to bring them into compliance with a desired…
- SD-WAN A software-defined wide area network (SD-WAN) is a wide area network (WAN) that uses software-defined networking technology, such as communicating over…
- Application delivery network An application delivery network (ADN) is a suite of technologies that, when deployed together, provide availability, security, visibility, and acceleration…
- Routing Routing is the process of selecting a path for traffic in a network or between or across multiple networks. Broadly, routing is performed in many types…
- Telecommunications network A telecommunications network is a group of nodes interconnected by telecommunications links that are used to exchange messages between the nodes. The links…
- Fast and Secure Protocol The Fast Adaptive and Secure Protocol (FASP) is a proprietary data transfer protocol. FASP is a network-optimized network protocol created by Michelle…
- Infineta Systems Infineta Systems was a company that made WAN optimization products for high performance, latency-sensitive network applications. The company advertised…
- Admission control Admission control is a validation process in communication systems where a check is performed before a connection is established to see if current resources…