The SCION (Scalability, Control, and Isolation on Next-generation Networks) inter-domain network architecture was proposed to address the availability, scalability, and security shortcomings of the current Internet. This paper presents a retrospective of the SCION goals and design decisions, its attacker model and limitations, and research highlights of work conducted in the 5 years following SCION's initial publication.
Serval @cite_29 proposes name-based service discovery and routing, and introduces a new service-access layer that enables late binding of a service to its location. Late binding provides flexibility in migrating and distributing services, yet it attempts to optimize networking for special application-services (especially in data-center network) built on top of the current Internet.
@cite_29
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Internet services run on multiple servers in different locations, serving clients that are often mobile and multihomed. This does not match well with today's network stack, designed for communication between fixed hosts with topology-dependent addresses. As a result, online service providers resort to clumsy and management-intensive work-arounds--forfeiting the scalability of hierarchical addressing to support virtual server migration, directing all client traffic through dedicated load balancers, restarting connections when hosts move, and so on. In this paper, we revisit the design of the network stack to meet the needs of online services. The centerpiece of our Serval architecture is a new Service Access Layer (SAL) that sits above an unmodified network layer, and enables applications to communicate directly on service names. The SAL provides a clean service-level control data plane split, enabling policy, control, and in-stack name-based routing that connects clients to services via diverse discovery techniques. By tying active sockets to the control plane, applications trigger updates to service routing state upon invoking socket calls, ensuring up-to-date service resolution. With Serval, end-points can seamlessly change network addresses, migrate flows across interfaces, or establish additional flows for efficient and uninterrupted service access. Experiments with our high-performance in-kernel prototype, and several example applications, demonstrate the value of a unified networking solution for online services. With the fast development of the Internet, more and more distributed applications will require guaranteed quality of service and maintain minimum network resource during their running sessions. Reservation in advance provides a solution for the need of reserving the network resource for future use like we make reservations in advance in our daily business. Routing has a critical effect on the network reservation process. In this paper, we propose a hierarchical data structure, the bandwidth tree, which records the intervals of available link bandwidth instead of unit time slot. The storage space and searching time complexity under this data structure are independent of the size of the time slots. This overcomes the difficulty in previously proposed research in which larger time slot size loses routing accuracy while smaller time slot size significantly increases routing complexity. The new data structure significantly improves the running time complexity for routing procedures under a variety of QoS requirements. Internet service provider faces a daunting challenge in provisioning network efficiently. We introduce a proactive multipath routing scheme that tries to route traffic according to its built-in properties. Based on mathematical analysis, our approach disperses incoming traffic flows onto multiple paths according to path qualities. Long-lived flows are detected and migrated to the shortest path if their QoS could be guaranteed there. Suggesting nondisjoint path set, four types of dispersion policies are analyzed, and flow classification policy which relates flow trigger with link state update period is investigated. Simulation experiments show that our approach outperforms traditional single path routing significantly. We consider the stochastic on-time arrival (SOTA) problem of finding the optimal routing strategy for reaching a given destination within a pre-specified time budget and provide the first results on using preprocessing techniques for speeding up the query time. We start by identifying some properties of the SOTA problem that limit the types of preprocessing techniques that can be used in this setting, and then define the stochastic variants of two deterministic shortest path preprocessing techniques that can be adapted to the SOTA problem, namely reach and arc-flags. We present the preprocessing and query algorithms for each technique, and also present an extension to the standard reach based preprocessing method that provides additional pruning. Finally, we explain the limitations of this approach due to the inefficiency of the preprocessing phase and present a fast heuristic preprocessing scheme. Numerical results for San Francisco, Luxembourg and a synthetic road network show up to an order of magnitude improvement in the query time for short queries, with even larger gains expected for longer queries.