1,633 research outputs found
Improving the Throughput of Distributed Hash Tables Using Congestion-Aware Routing
Advanced applications for Distributed Hash Tables (DHTs), such as Peer-to-Peer Information Retrieval, require a DHT to quickly and efficiently process a large number (in the order of millions) of requests. In this paper we study mechanisms to optimize the throughput of DHTs. Our goal is to maximize the number of route operations per peer per second a DHT can perform (given certain constraints on the lookup delay). Each peer receives congestion feedback from the DHT, which it uses to adjust its routing decisions. This way, peers can avoid routing through slow parts of the overlay network and hence increase the rate at which they insert new messages into the DHT.We provide a numerical analysis of congestion-aware routing in DHTs and show that considerable improvements in throughput are possible compared to DHTs with proximity neighbor selection and strictly greedy routing
SDN-BASED MECHANISMS FOR PROVISIONING QUALITY OF SERVICE TO SELECTED NETWORK FLOWS
Despite the huge success and adoption of computer networks in the recent decades, traditional network architecture falls short of some requirements by many applications. One particular shortcoming is the lack of convenient methods for providing quality of service (QoS) guarantee to various network applications. In this dissertation, we explore new Software-Defined Networking (SDN) mechanisms to provision QoS to targeted network flows. Our study contributes to providing QoS support to applications in three aspects. First, we explore using alternative routing paths for selected flows that have QoS requirements. Instead of using the default shortest path used by the current network routing protocols, we investigate using the SDN controller to install forwarding rules in switches that can achieve higher bandwidth. Second, we develop new mechanisms for guaranteeing the latency requirement by those applications depending on timely delivery of sensor data and control signals. The new mechanism pre-allocates higher priority queues in routers/switches and reserves these queues for control/sensor traffic. Third, we explore how to make the applications take advantage of the opportunity provided by SDN. In particular, we study new transmission mechanisms for big data transfer in the cloud computing environment. Instead of using a single TCP path to transfer data, we investigate how to let the application set up multiple TCP paths for the same application to achieve higher throughput. We evaluate these new mechanisms with experiments and compare them with existing approaches
P4TE: PISA Switch Based Traffic Engineering in Fat-Tree Data Center Networks
This work presents P4TE, an in-band traffic monitoring, load-aware packet
forwarding, and flow rate controlling mechanism for traffic engineering in
fat-tree topology-based data center networks using PISA switches. It achieves
sub-RTT reaction time to change in network conditions, improved flow completion
time, and balanced link utilization. Unlike the classical probe-based
monitoring approach, P4TE uses an in-band monitoring approach to identify
traffic events in the data plane. Based on these events, it re-adjusts the
priorities of the paths. It uses a heuristic-based load-aware forwarding path
selection mechanism to respond to changing network conditions and control the
flow rate by sending feedback to the end hosts. It is implementable on emerging
v1model.p4 architecture-based programmable switches and capable of maintaining
the line-rate performance. Our evaluation shows that P4TE uses a small amount
of resources in the PISA pipeline and achieves an improved flow completion time
than ECMP and HULA
Exploiting the power of multiplicity: a holistic survey of network-layer multipath
The Internet is inherently a multipath network: For an underlying network with only a single path, connecting various nodes would have been debilitatingly fragile. Unfortunately, traditional Internet technologies have been designed around the restrictive assumption of a single working path between a source and a destination. The lack of native multipath support constrains network performance even as the underlying network is richly connected and has redundant multiple paths. Computer networks can exploit the power of multiplicity, through which a diverse collection of paths is resource pooled as a single resource, to unlock the inherent redundancy of the Internet. This opens up a new vista of opportunities, promising increased throughput (through concurrent usage of multiple paths) and increased reliability and fault tolerance (through the use of multiple paths in backup/redundant arrangements). There are many emerging trends in networking that signify that the Internet's future will be multipath, including the use of multipath technology in data center computing; the ready availability of multiple heterogeneous radio interfaces in wireless (such as Wi-Fi and cellular) in wireless devices; ubiquity of mobile devices that are multihomed with heterogeneous access networks; and the development and standardization of multipath transport protocols such as multipath TCP. The aim of this paper is to provide a comprehensive survey of the literature on network-layer multipath solutions. We will present a detailed investigation of two important design issues, namely, the control plane problem of how to compute and select the routes and the data plane problem of how to split the flow on the computed paths. The main contribution of this paper is a systematic articulation of the main design issues in network-layer multipath routing along with a broad-ranging survey of the vast literature on network-layer multipathing. We also highlight open issues and identify directions for future work
A Survey on Off-chain Networks: Frameworks, Technologies, Solutions and Challenges
Blockchain has received increasing attention in academia and industry.
However, the increasing transaction volumes and limited on-chain storage
underscore scalability as a key challenge hindering the widespread adoption of
blockchain. Fortunately, off-chain networks that enable transactions outside
the blockchain show promising potential to mitigate the scalability challenge.
Off-chain solutions that address blockchain scalability hurdles, such as
payment channel networks, facilitate secure and fast off-chain transactions,
thus relieving the main chain's strain. In this article, we provide a
comprehensive review of key technologies, solutions, and challenges of
off-chain networks. First, we introduce the background of off-chain networks
encompassing design motivation, framework, overview, and application scenarios.
We then review the key issues and technologies associated with off-chain
networks. Subsequently, we summarize the mainstream solutions for the
corresponding key issues. Finally, we discuss some research challenges and open
issues in this area.Comment: 30 pages, 5 figure
An analytical framework for the performance evaluation of proximity-aware structured overlays
In this paper, we present an analytical study of proximity-aware structured peer-to-peer networks under churn. We use a master-equation-based approach, which is used traditionally in non-equilibrium statistical mechanics to describe steady-state or transient phenomena. In earlier work we have demonstrated that this methodology is in fact also well suited to describing structured overlay networks under churn, by showing how we can accurately predict the average number of hops taken by a lookup, for any value of churn, for the Chord system. In this paper, we extend the analysis so as to also be able to predict lookup latency, given an average latency for the links in the network. Our results show that there exists a region in the parameter space of the model, depending on churn, the number of nodes, the maintenance rates and the delays in the network, when the network cannot function as a small world graph anymore, due to the farthest connections of a node always being wrong or dead. We also demonstrate how it is possible to analyse proximity neighbour selection or proximity route selection within this formalism
Space Shuffle: A Scalable, Flexible, and High-Bandwidth Data Center Network
Data center applications require the network to be scalable and
bandwidth-rich. Current data center network architectures often use rigid
topologies to increase network bandwidth. A major limitation is that they can
hardly support incremental network growth. Recent work proposes to use random
interconnects to provide growth flexibility. However routing on a random
topology suffers from control and data plane scalability problems, because
routing decisions require global information and forwarding state cannot be
aggregated. In this paper we design a novel flexible data center network
architecture, Space Shuffle (S2), which applies greedy routing on multiple ring
spaces to achieve high-throughput, scalability, and flexibility. The proposed
greedy routing protocol of S2 effectively exploits the path diversity of
densely connected topologies and enables key-based routing. Extensive
experimental studies show that S2 provides high bisectional bandwidth and
throughput, near-optimal routing path lengths, extremely small forwarding
state, fairness among concurrent data flows, and resiliency to network
failures
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