{"title":"Named Data Networking for Content Delivery Network Workflows.","authors":"Rama Krishna Thelagathoti, Spyridon Mastorakis, Anant Shah, Harkeerat Bedi, Susmit Shannigrahi","doi":"10.1109/cloudnet51028.2020.9335806","DOIUrl":"https://doi.org/10.1109/cloudnet51028.2020.9335806","url":null,"abstract":"<p><p>In this work we investigate Named Data Networking's (NDN's) architectural properties and features, such as content caching and intelligent packet forwarding, in the context of Content Delivery Network (CDN) workflows. More specifically, we evaluate NDN's properties for PoP (Point of Presence) to PoP and PoP to device connectivity. We use the Apache Traffic Server (ATS) platform to create a CDN-like caching hierarchy in order to compare NDN with HTTP-based content delivery. Overall, our work demonstrates that several properties inherent to NDN can benefit content providers and users alike through in-network caching of content, fast retransmission, and stateful hop-by-hop packet forwarding. Our experimental results demonstrate that HTTP delivers content faster under stable conditions due to a mature software stack. However, NDN performs better in the presence of packet loss, even for a loss rate as low as 0.1%, due to packet-level caching in the network and fast retransmissions from close upstreams. We further show that the Time To First Byte (TTFB) in NDN is consistently lower than HTTP (~ 100<i>ms</i> in HTTP vs. ~ 50<i>ms</i> in NDN), a vital requirement for CDNs. Unlike HTTP, NDN also supports transparent failover to another upstream when a failure occurs in the network. Finally, we present implementation-agnostic (implementation choices can be Software Defined Networking, Information Centric Networking, or something else) network properties that can benefit CDN workflows.</p>","PeriodicalId":93367,"journal":{"name":"Proceedings. IEEE International Conference on Cloud Networking","volume":"2021 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/cloudnet51028.2020.9335806","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39292459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring Computation Offloading in Vehicular Clouds","authors":"A. Souza, P. Rego, J. Souza","doi":"10.1109/CloudNet47604.2019.9064133","DOIUrl":"https://doi.org/10.1109/CloudNet47604.2019.9064133","url":null,"abstract":"VANETs (Vehicular Ad Hoc Networks) aim to provide safety and comfort services for drivers on roads and highways. Among these services, there are computation-intensive tasks in real-time applications that need to be executed as quickly as possible. Using VCC (Vehicular Cloud Computing) paradigm, where vehicles offer their underutilized computing resources as a service and with the goal of reducing the execution time of tasks, this paper investigates how the computation offloading technique can be leveraged to speed up the execution of tasks under different conditions and in varied scenarios. We present an offloading decision algorithm and several simulations results that show we can achieve better processing times than to execute locally and better success rates than random algorithm.","PeriodicalId":93367,"journal":{"name":"Proceedings. IEEE International Conference on Cloud Networking","volume":"159 2","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CloudNet47604.2019.9064133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72385700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}