Application Layer Traffic Optimization Research Articles

Content delivery network for secure of software defined networking by using IPv4, OpenFlow, and ALTO

Software defined networking is a programmability function network by easiness for maintenance and configuration. The administrators of network can change the traffic rules during the commuting process. SDN is an arising network structure with programmability and centralization and this leads to introduce potential security concerns. Though the TLS ability support secure for control plane but computationally aggravating and complex to configure as well as not compatible with OpenFlow protocol. For this reason, a content delivery network can be used to increase the ability of network services dynamically and automatically. In order that relieve the threat we proposed architecture for SDN depending on CDN. In our proposed architecture, we use application layer traffic optimization (ALTO) protocol to be as servers enable mapping for the network to produce a summarized vision. We also hide the identity of the forwarding devices by take advantage of IPv4 and OpenFlow transaction identification fields into the control packets through implement of two authentication structures via efficient Salsa20 stream cipher. Finally, the work results explain the proposed architecture can efficiently eliminate of attack types and provide more detectability to attackers.

P2P Traffic Optimization Based on Dynamic Network Information Aware

Peer-to-Peer (P2P) service may damage the interests of Internet Service Provider (ISP) because P2P traffic usually takes a lot of network link bandwidth and even overwhelms some network links. Aimed at the problem, mainstream solutions are usually optimizing P2P traffic through the interaction between applications and underlying network. However, current solutions still have two aspects of defects: one is that the interacted underlying network status information is immutable and can’t reflect the real-time dynamic changes because it is usually configured by ISP. The other is that some solutions may cause excessive traffic localization, which may greatly influence other services in the local network. In order to improve the above two defects and provide P2P users with better service experience, we propose an enhanced application layer traffic optimization scheme, in which more valuable network status information of underlying network is dynamically calculated and provided to P2P application. Extensive simulations demonstrate that our P2P traffic optimization scheme is superior to other solutions in terms of available bandwidth, resource transmission delay and user service experience.

New Technique to Improve BitTorrent Performance Based on Application Layer Traffic Optimization

New Technique to Improve BitTorrent Performance Based on Application Layer Traffic Optimization

Experiences with large-scale operational trials of ALTO-enhanced P2P filesharing in an intra-ISP scenario

Application Layer Traffic Optimization (ALTO) has recently gained attention in the research and standardisation community as a way for a network operator to guide the peer selection process of distributed applications by providing network layer topology information. In particular P2P applications are expected to gain from ALTO, due to the many connections peers form among each other, often without taking network layer topology information into account. In this paper, we present results of an extensive intra-ISP trial with an ALTO-enhanced P2P filesharing software. In summary, our results show that—depending on the concrete setting and on the distribution of upload capacity in the network—ALTO enables an ISP to save operational costs significantly while not degrading application layer performance noticeably. In addition, based on our experience we are able to give advice to operators on how to save costs with ALTO while not sacrificing application layer performance at all.

Topology control strategies on P2P live video streaming service with peer churning

The research community and Internet Service Providers (ISPs) are interested in designing locality-aware P2P applications, which balance the trade-off between localizing traffic and satisfying the quality of service requirements of the application. To this aim, taking into account the architecture considered by the Application Layer Traffic Optimization (ALTO) IETF Working Group, the paper proposes a study on the control of the P2P topology in a single operator intra-domain scenario, based on the K-Minimum Spanning Tree (K-MST) algorithm. In particular, the paper contribution can be summarized as follows: (i) the definition of a lower and an upper bound of the locality parameter of a P2P topology, (ii) the proposal of a heuristic, denoted as K-Better-Neighbors (KBN), for controlling the P2P topology in presence of peer churning, (iii) the discussion of different solutions based on periodic topology optimization to manage the P2P system in presence of peer churning, and (iv) the comparison of the system performance obtained by the proposed solutions and some reference strategies in a dynamic scenario, from both the ISP and user perspective.

Characterization of BitTorrent swarms and their distribution in the Internet

The optimization of overlay traffic resulting from applications such as BitTorrent is a challenge addressed by several recent research initiatives. However, the assessment of such optimization techniques and their performance in the real Internet remains difficult. Despite a considerable set of works measuring real-life BitTorrent swarms, several characteristics of those swarms relevant for the optimization of overlay traffic have not yet been investigated. In this work, we address this lack of realistic swarm statistics by presenting our measurement results. In particular, we provide a statistical characterization of the swarm sizes, the distribution of peers over autonomous systems (AS’s), the fraction of peers in the largest AS, and the size of the shared files. To this end, we consider different types of shared content and identify particular characteristics of regional swarms. The selection of the presented data is inspired by ongoing discussions in the IETF working group on application layer traffic optimization (ALTO). Our study is intended to provide input for the design and the assessment of ALTO solutions for BitTorrent, but the applicability of the results is not limited to that purpose.

A survey of research on the application-layer traffic optimization problem and the need for layer cooperation

A significant part of Internet traffic today is generated by peer-to-peer applications, used traditionally for file sharing, and more recently for real-time communications and live media streaming. Such applications discover a route to each other through an overlay network with little knowledge of the underlying network topology. As a result, they may choose peers based on information deduced from empirical measurements, which can lead to suboptimal choices. We refer to this as the application layer traffic optimization (ALTO) problem and present a survey of existing literature. We summarize and compare existing approaches, identify open research issues, and state the need for layer cooperation as a solution to the ALTO problem.