![]() ![]() In this tutorial paper, we review the general architecture of datacenter networks, various topologies proposed for them, their traffic properties, general traffic control challenges in datacenters and general traffic control objectives. To this end, custom transport protocols and traffic management techniques have been developed to improve datacenter network performance. This includes user-generated interactive traffic, traffic with deadlines, and long-running traffic. Datacenter traffic is often a mix of several classes with different priorities and requirements. To provide quality access to the variety of applications and services hosted on datacenters and maximize performance, it deems necessary to use datacenter networks effectively and efficiently. A typical datacenter is made up of thousands of servers connected with a large network and usually managed by one operator. This allows EyeQ to enforce predictable network sharing completely at the end hosts, with minimum support from the physical network.ĭatacenters provide cost-effective and flexible access to scalable compute and storage resources necessary for today’s cloud computing needs. ![]() The key insight is that by leaving a headroom of (say) 10% of access link bandwidth, EyeQ simplifies dealing with potentially a global contention problem into one that is mostly local, at the sender and receiver. The enabler for EyeQ is the availability of high bisection bandwidth in data centers. In this paper, we motivate the design of our system called EyeQ, with the goal of providing predictable network performance to tenants. This problem is further exacerbated by the large number of competing entities in the cloud, and their volatile traffic patterns. Network performance isolation is particularly hard because of the distributed nature of the problem, and the short (few RTT) timescales at which they manifest themselves. Benign, or perhaps malicious traffic interference between tenants can cause significant performance degradation that hurts performance of applications, and hence, impacts their revenue. ![]() Of many shared resources like CPU, memory, etc., the network is pivotal for distributed applications. The shared multi-tenant nature of the cloud has raised serious concerns about its security and performance for high valued services. ![]()
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December 2022
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