Networking Overview - Concepedia

Principles

Definition

Networking is a research concept focused on the analysis of relationships, connections, and interactions between entities within a system or network structure. It investigates the formation, dynamics, and impact of these ties, serving as a foundational approach for understanding communication, information flow, and collective behavior across diverse academic disciplines.

Ontological type

Analytical Methods

Core Theories

Applications

Key developments

Key Figures

Scalable Data Delivery era

Sally Floyd [1] anchored critical work at University of California, Berkeley [3] and University of Arizona [4] during the Scalable Data Delivery era. Her key contribution is the paper Wide area traffic: the failure of Poisson modeling [6], which critiqued Poisson modeling for wide-area traffic and helped motivate scalable congestion-control approaches. Vern Paxson [2] is associated with University of California, Berkeley [3] and Cornell University [5] during the Scalable Data Delivery era. His key contributions in this era center on the same Wide area traffic: the failure of Poisson modeling [6], where analysis of traffic patterns and the limits of Poisson modeling informed end-to-end congestion management and scalable group communication.

Programmable Information Networking era

Van Jacobson [1] is a foundational figure in the Programmable Information Networking era, with ties to the University of California, Los Angeles [3] and the University of Glasgow [4]. In Networking named content [6] and Named Data Networking (NDN) Project [7], he helped articulate content-centric networking concepts that enabled name-based retrieval and in-network caching, foundational to the era's emphasis on data-plane programmability. James D. Thornton [2] is linked to Ahlia University [5] during this era. As a co-author on Networking named content [6] and Named Data Networking (NDN) Project [7], he helped advance content-centric networking concepts that enabled scalable, name-based information delivery, a core driver of the programmable networking paradigm.

Autonomous Knowledge-Driven Networking era

Raj Jain [1], a renowned figure in networking research, has been associated with Washington University in St. Louis [3] and UCLouvain [4] during the Autonomous Knowledge-Driven Networking era (2017–2023). His co-authored paper Network Slicing for 5G: Challenges and Opportunities [7] highlighted network slicing as a principled mechanism to partition resources for diverse services, enabling policy-aware automation and orchestration across programmable data planes, which was essential for delivering low-latency, multi-tenant, SLA-conscious networks in this era. Deval Bhamare [2], whose affiliations include University of Surrey [5] and Qatar University [6], contributed to advancing network slicing concepts for 5G in this era via Network Slicing for 5G: Challenges and Opportunities [7]. Together with Raj Jain [1] and Deval Bhamare [2], the Network Slicing for 5G: Challenges and Opportunities [7] paper demonstrated how automated, policy-driven resource partitioning enables autonomous orchestration across edge and cloud, aligning with the core aims of the Autonomous Knowledge-Driven Networking era.