Software-Driven and Virtualized Architectures for Scalable 5G Networks

In this dissertation, we argue that it is essential to rearchitect 4G cellular core networks–sitting between the Internet and the radio access network–to meet the scalability, performance, and flexibility requirements of 5G networks. Today, there is a growing consensus among operators and research community that software-defined networking (SDN), network function virtualization (NFV), and mobile edge computing (MEC) paradigms will be the key ingredients of the next-generation cellular networks. Motivated by these trends, we design and optimize three core network architectures, SoftMoW, SoftBox, and SkyCore, for different network scales, objectives, and conditions. SoftMoW provides global control over nationwide core networks with the ultimate goal of enabling new routing and mobility optimizations. SoftBox attempts to enhance policy enforcement in statewide core networks to enable low-latency, signaling-efficient, and customized services for mobile devices. Sky- Core is aimed at realizing a compact core network for citywide UAV-based radio networks that are going to serve first responders in the future. Network slicing techniques make it possible to deploy these solutions on the same infrastructure in parallel. To better support mobility and provide verifiable security, these architectures can use an addressing scheme that separates network locations and identities with self-certifying, flat and non-aggregatable address components. To benefit the proposed architectures, we designed a high-speed and memory-efficient router, called Caesar, for this type of addressing schemePHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/146130/1/moradi_1.pd

FISE: A Forwarding Table Structure for Enterprise Networks

This is the author accepted manuscript. The final version is available from IEEE via the DOI in this recordWith increasing demands for more flexible services, the routing policies in enterprise networks become much richer. This has placed a heavy burden to the current router forwarding plane in support of the increasing number of policies, primarily due to the limited capacity in TCAM, which further hinders the development of new network services and applications. The scalable forwarding table structures for enterprise networks have therefore attracted numerous attentions from both academia and industry. To tackle this challenge, in this paper we present the design and implementation of a new forwarding table structure. It separates the functions of TCAM and SRAM, and maximally utilizes the large and flexible SRAM. A set of schemes are progressively designed, to compress storage of forwarding rules, and maintain correctness and achieve line-card speeds of packet forwarding. We further design an incremental update algorithm that allows less access to memory. The proposed scheme is validated and evaluated through a realistic implementation on a commercial router using real datasets. Our proposal can be easily implemented in the existing devices. The evaluation results show that the performance of forwarding tables under the proposed scheme is promising.National Key R&D Program of ChinaNational Natural Science Foundation of China (NSFC)Scientific Research Foundation for Young Teachers of Shenzhen Universit

Past Before Future: A Comprehensive Review on Software Defined Networks Road Map

Software Defined Networking (SDN) is a paradigm that moves out the network switch2019;s control plane (routing protocols) from the switch and leaves only the data plane (user traffic) inside the switch. Since the control plane has been decoupled from hardware and given to a logically centralized software application called a controller; network devices become simple packet forwarding devices that can be programmed via open interfaces. The SDN2019;s concepts: decoupled control logic and programmable networks provide a range of benefits for management process and has gained significant attention from both academia and industry. Since the SDN field is growing very fast, it is an active research area. This review paper discusses the state of art in SDN, with a historic perspective of the field by describing the SDN paradigm, architecture and deployments in detail

A MULTI-GIGABIT NETWORK PACKET INSPECTION AND ANALYSIS ARCHITECTURE FOR INTRUSION DETECTION AND PREVENTION UTILIZING PIPELINING AND CONTENT-ADDRESSABLE MEMORY

Increases in network traffic volume and transmission speeds have given rise to the need for extremely fast packet processing. Many traditional processor-based network devices are no longer sufficient to handle tasks such as packet analysis and intrusion detection at multi-Gigabit rates. This thesis proposes two novel pipelined hardware architectures to relieve the computational load of a processor within network switches and routers. First, the Embedded Protocol Analyzer Pre-Processor (ePAPP) is capable of taking an unclassified packet byte stream directly off of a network cable at line speed and separating the data into individually classified protocol fields. Second, the CAM-Assisted Signature-Matching Architecture (CASMA) uses ternary content-addressable memory to perform the task of stateless intrusion detection signature-matching. The Snort open-source software network intrusion detection system is used as a model for intrusion detection functionality. Structured ASIC synthesis results show that ePAPP supports speeds of 2.89 Gb/s using less than 1% of available logic cells. CASMA is shown to support 1.25 Gb/s using less than 6% of available logic cells. The CASMA architecture is demonstrated to be able to implement 1729 of 1993 or 86.8% of the attack signatures, or rules, packaged with Snort version 2.1.2