Survey on Some Optimization Possibilities for Data Plane Applications

By programming both the data plane and the control plane, network operators can customize their networks based on their needs, regardless of the hardware manufacturer. Control plane programming, a major component of the SDN (Software Defined Network) concept, has been developed for more than 10 years and successfully implemented in real networks. Efforts to develop reconfigurable data planes and high-level network programming languages make it truly possible to program data planes. Therefore, the programmable data planes and SDNs offer great flexibility in network customization, allowing many innovations to be introduced on the network. The general focus of research on the data plane is data-plane abstractions, languages and compilers, data plane algorithms, and applications. This paper outlines some emerging applications on the data plane and offers opportunities for further improvement and optimization.

Established Digital Model of Fruit Body Growth of Agrocybe cylindracea Based on Network Programming

Agricultural information technology is an emerging technology based on the cross-fertilization of information technology and agricultural science, which has caused the rapid development of digital agriculture and smart agriculture. Crop growth models, as one of their core components, can dynamically simulate the crop growth and development process and its relationship with climate factors, soil properties, and management techniques, thus effectively overcoming the strong spatial and temporal limitations in traditional agricultural production management research and providing quantitative tools for early warning and effect assessment of crop productivity prediction under different conditions. This study focuses on the general technical approach, the latest research progress, and future development thinking developed by the authors in the construction and application of the tea mushroom growth model. Based on the fitting method of the data model curve of the Internet laboratory, this study is proposed to use network programming technology to digitally fit the growth curve of cap diameter and stalk diameter of the fruiting body in the process of Agrocybe cylindracea growth. The fitting system adopted the development mode of PHP + MYSQL and took the MYSQL database as the core, which made the curve fitting of the final experimental data fast, convenient, and more intelligent. This study laid a preliminary foundation for the effective establishment and improvement of laboratory Agrocybe cylindracea, fruiting body growth data statistics and analysis, and graphical output network sharing.

What is the Food Network feeding us? : questioning the Food Network's representation of the food industry

Today, the television Food Network is one of the most popular sources of food knowledge. Although it may be perceived simplistically as a recipe resource for aspiring home chefs it represents much more. Through analyses of the Food Network programming this work examines the network's representations of our food ways. More specifically, portrayals of the food industry are explored. It is argued that the network is steeped in nostalgic longing for a traditional value system which emphasizes family and home. This focus on family, community and small scale food preparation eliminates problematic aspects of our food production, distribution and consumption systems.

I2BN: Intelligent Intent Based Networks

Intent based network management reduces the complexity of network programming from a growing set of deeply technical APIs to context-free high-level objectives that the network should autonomously achieve and keep. The practical implementation of an intent based network requires substantial automation technology embedded in the network. Automation should cover the entire lifecycle of intents, from their ingestion to fulfillment and assurance. This article investigates the feasibility of automatically assembling interworking implementation units into intent specific automation pipelines, where units are reusable self-learning closed loop micro-services with self-declared capabilities. Each closed loop may gain knowledge and respond to dynamically changing network conditions, thereby enabling network autonomy in reaching the declared intent objectives. The human-network intent interface for expressing intents is proposed to be based on the aggregation of the deployed network and service automation capabilities, rather than a formalism decoupled from the actual network implementation. This principle removes the ambiguity and compatibility gap between human intent definition and machine intent fulfillment, while retaining the flexibility and extendibility of the intents offered by any specific system via onboarding additional micro-services with novel capabilities. The concepts discussed by the article fit into the architecture and closed loop work items already defined by ETSI ZSM and provides considerations towards new areas such as intent driven autonomous networks and enablers for automation.

What is the Food Network feeding us? : questioning the Food Network's representation of the food industry

Today, the television Food Network is one of the most popular sources of food knowledge. Although it may be perceived simplistically as a recipe resource for aspiring home chefs it represents much more. Through analyses of the Food Network programming this work examines the network's representations of our food ways. More specifically, portrayals of the food industry are explored. It is argued that the network is steeped in nostalgic longing for a traditional value system which emphasizes family and home. This focus on family, community and small scale food preparation eliminates problematic aspects of our food production, distribution and consumption systems.

Comparison of Software Defined Networking with Traditional Networking

The Internet has caused the advent of a digital society; wherein almost everything is connected and available from any place. Thus, regardless of their extensive adoption, traditional IP networks are yet complicated and arduous to operate. Therefore, there is difficulty in configuring the network in line with the predefined procedures and responding to the load modifications and faults through network reconfiguring. The current networks are likewise vertically incorporated to make matters far more complicated: the control and data planes are bundled collectively. Software-Defined Networking (SDN) is an emerging concept which aims to change this situation by breaking vertical incorporation, promoting the logical centralization of the network control, separating the network control logic from the basic switches and routers, and enabling the network programming. The segregation of concerns identified between the policies concept of network, their implementation in hardware switching and data forwarding is essential to the flexibility required: SDN makes it less complicated and facilitates to make and introduce new concepts in networking through breaking the issue of the network control into tractable parts, simplifies the network management and facilitate the development of the network. In this paper, the SDN is reviewed; it introduces SDN, explaining its core concepts, how it varies from traditional networking, and its architecture principles. Furthermore, we presented the crucial advantages and challenges of SDN, focusing on scalability, security, flexibility, and performance. Finally, a brief conclusion of SDN is revised.