NeTS: Small: New Directions in Routing and Traffic Engineering
NeTS: Small: New Directions in Routing and Traffic Engineering
批准号:
1117161
负责人:
Scott Shenker
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2014-08-31
中文摘要
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英文摘要
Routing is arguably the most fundamental aspect of networking, since it answers the basic question: how do you place the appropriate state in routers or switches so that packets can travel from source to destination? There is a huge literature on routing, covering many topics (intradomain and interdomain, wireline and wireless, convergence and policy oscillations, etc.), and the router vendors have been honing their routing implementations for many years. After all this academic and commercial work, one might expect that there would be little new of fundamental importance to say about routing, and that all current work would involve small, incremental improvements to algorithms and implementations.However, there are two conflicting trends that are changing the context in which routing is being used, and which necessitate a new round of routing research:Reliability requirements: Because networks are being increasingly used for critical services (hospitals, financial institutions, etc.), the reliability expectations for networks are becoming more stringent i.e., 'five nines' of reliability). Routing is responsible for directing traffic around failures (i.e., failure recovery) and avoiding hotspots (i.e., load distribution), so the required increases in reliability must come from improving the failure recovery and load distribution mechanisms embedded in routing protocols.Network size: Networks are growing at a rapid pace, and a new class of networks - datacenters, which can have hundreds of thousands of hosts and millions of VMs - are pushing the scaling limits as never before. In all routing algorithms, because they are essentially distributed consistency algorithms, the convergence times (for responding to failures and hotspots) and/or the routing overhead (in terms of the number and size of routing messages) increase with size. The upshot of these two developments is that routing algorithms are being asked to do a better job (in terms of reliability) on a harder task (because of the increases in network size and complexity). As a result, both the commercial world and the academic community have embarked on a new round of routing research. These efforts first produced several ad hoc rerouting methods (such as MPLS Fast Reroute and ECMP) and then concentrated on developing multipath routing methods (such as Path Splicing and a variety of other approaches). However, all of these developments are retrofitted on top of the traditional approach to routing, which builds a single path from the source to the destination. These mechanisms significantly improve the reliability of networking, but they do not tell us how to incorporate more effective failure recovery and load distribution into the core foundation of routing algorithms.More recently, we (along with others) have proposed a new routing paradigm, one that changes the basic output of routing from a path to a directed acyclic graph (DAG). This new approach, which here will be called Routing Along DAGs (RAD), automatically provides multiple paths for local failure recovery and load distribution. This allows RAD to, without any global route recomputations in response to failures or hotspots, guarantee connectivity (as long as the graph is connected) and provide optimal load distribution (in a simple single-destination traffic model). This project is investigating the RAD approach from many angles: design, simulation, implementation, and theory. The goal is to have a put this new routing paradigm on a firm scientific footing.Broader Impacts: There is a pressing commercial and governmental need for increased reliability and easy-to-manage routing algorithms. This proposed project will produce prototypes of new routing and traffic engineering approaches built on commercial routing hardware (using the OpenFlow interface) that could be used to test these ideas in commercial settings. This could have a significant impact on how datacenter networking is done, and more generally improve network reliability. Promising preliminary discussions have already been held with router vendors in this regard.
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