Evaluation of ALTO-enhanced request routing for CDN interconnection

Arumaithurai, Mayutan; Seedorf, Jan; Paragliela, Giovanni; Pilarski, Marcin; Niccolini, Saverio

doi:10.1109/icc.2013.6655096

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…With the rapid increase in data traffic, CDN has been widely studied [6,7]. For instance, in [8], the authors proposed an edge cache-based intelligent content delivery solution to improve network performance in information-centric wireless networks.…”

Section: Edge User Allocationmentioning

confidence: 99%

Intelligent Video Streaming at Network Edge: An Attention-Based Multiagent Reinforcement Learning Solution

Tang

Chen

2023

Future Internet

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Video viewing is currently the primary form of entertainment for modern people due to the rapid development of mobile devices and 5G networks. The combination of pervasive edge devices and adaptive bitrate streaming technologies can lessen the effects of network changes, boosting user quality of experience (QoE). Even while edge servers can offer near-end services to local users, it is challenging to accommodate a high number of mobile users in a dynamic environment due to their restricted capacity to maximize user long-term QoE. We are motivated to integrate user allocation and bitrate adaptation into one optimization objective and propose a multiagent reinforcement learning method combined with an attention mechanism to solve the problem of multiedge servers cooperatively serving users. Through comparative experiments, we demonstrate the superiority of our proposed solution in various network configurations. To tackle the edge user allocation problem, we proposed a method called attention-based multiagent reinforcement learning (AMARL), which optimized the problem in two directions, i.e., maximizing the QoE of users and minimizing the number of leased edge servers. The performance of AMARL is proved by experiments.

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Section: Edge User Allocationmentioning

confidence: 99%

Intelligent Video Streaming at Network Edge: An Attention-Based Multiagent Reinforcement Learning Solution

Tang

Chen

2023

Future Internet

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“…In Fig. 3 the two ALTO maps in the ALTO server are shown which help to determine efficient routes [6][10] [14]. [14] However these networks hold the threat of getting more and more centralized and also therefore become a potential target for network attacks such as DDoS.…”

Section: Fig 1 Interconnected Content Delivery Networkmentioning

confidence: 99%

An efficient defense mechanism for spoofed IP attack in SDN based CDNi

Mowla

Doh

Chae

2015

2015 International Conference on Information Networking (ICOIN)

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In recent years enhancing the capability of network services automatically and dynamically through SDN and CDN/CDNi networks has become a new field of research. These future network architectures pose both a blessing and a threat in the network field. Such network architectures can optimize the overall network services by analyzing the topology, traffic paths, packet handling and so on and also can create a potential target for spoofed IP attacks. We, therefore, propose an architecture for an SDN based CDNi network to detect spoofed ip and create a defense against attacks created by them. We also propose ALTO like servers in our architecture which enable mapping a very big network to provide a summarized view. In the ALTO server we propose an additional map named the mark map as a mechanism to detect spoofed IP addresses. SDN switches are utilized to extract rules associated with the ALTO server mark map and follow a mechanism of spoofed IP detection fed to them by the SDN controller application layer.

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“…Also, the proximity and load on the servers are considered during these procedures. Similarly, [11] executes the CDN interconnection request routing with the help of Application-Layer Traffic Optimization. The article [12] solves the request mapping and routing problems at the same time with the distributed algorithm based on Gauss-Seidel to optimize the performance and cost.…”

Section: Related Workmentioning

confidence: 99%

Parametric-Decomposition Based Request Routing in Content Delivery Networks

Bilen

Kurnaz

Sevim

et al. 2018

Lecture Notes in Computer Science

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Content Delivery Networks (CDNs) enable the rapid web service access by meeting the client requests using the optimal surrogate server located at their nearby. However, the optimal surrogate server can suddenly be overloaded by the spiky characteristics of the highbandwidth client requests. This accumulates both the drop rates and response times of the client requests. To solve these problems and balance the load on surrogate servers, we propose a Parametric-Decomposition based request routing at the surrogate servers in CDNs. With the Parametric Decomposition method, we combine the high-bandwidth client requests on origin server with our proposed Superposition and Queuing procedures. Then, we split these requests into more than one surrogate server through proposed Splitting and Adjustment procedures. We model the origin and surrogate servers based on G/G/1 queuing system to determine the load status. In case of high congestion on the origin server, we split client requests to the different surrogate servers instead of selecting one. The split sizes of whole content are adjusted by defining a novel splitter index parameter based on the queuing load and waiting time of surrogate servers. The results reveal that the proposed strategy reduces the load on surrogate servers by 42% compared to the conventional approaches. Moreover, the latency and request drops are decreased by 44% and 57% compared to the conventional approaches, respectively.

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Evaluation of ALTO-enhanced request routing for CDN interconnection

Cited by 6 publications

References 10 publications

Intelligent Video Streaming at Network Edge: An Attention-Based Multiagent Reinforcement Learning Solution

Intelligent Video Streaming at Network Edge: An Attention-Based Multiagent Reinforcement Learning Solution

An efficient defense mechanism for spoofed IP attack in SDN based CDNi

Parametric-Decomposition Based Request Routing in Content Delivery Networks

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