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It's Time to Replace TCP in the Datacenter (2210.00714v2)

Published 3 Oct 2022 in cs.NI

Abstract: In spite of its long and successful history, TCP is a poor transport protocol for modern datacenters. Every significant element of TCP, from its stream orientation to its expectation of in-order packet delivery, is wrong for the datacenter. It is time to recognize that TCP's problems are too fundamental and interrelated to be fixed; the only way to harness the full performance potential of modern networks is to introduce a new transport protocol into the datacenter. Homa demonstrates that it is possible to create a transport protocol that avoids all of TCP's problems. Although Homa is not API-compatible with TCP, it should be possible to bring it into widespread usage by integrating it with RPC frameworks.

Citations (3)

Summary

  • The paper critiques TCP’s design for datacenters, highlighting inefficiencies in message orientation, connection handling, and sender-driven congestion control.
  • It introduces Homa, a message-based, connectionless protocol that uses receiver-driven congestion control to optimize performance in high-density environments.
  • Homa demonstrates potential to lower latency, increase throughput for short messages, and improve resource utilization, addressing modern datacenter demands.

Evaluating "It's Time to Replace TCP in the Datacenter"

The position paper by John Ousterhout argues for the replacement of the Transmission Control Protocol (TCP) within datacenters, highlighting its fundamental unsuitability in meeting the demands of modern computing environments. The paper thoroughly examines TCP's limitations and offers a compelling alternative by introducing Homa, a protocol designed specifically for datacenter requirements.

Critique of TCP in Datacenters

The paper outlines a robust critique of TCP, highlighting several core aspects that render it inappropriate for datacenter applications:

  • Stream Orientation: TCP's stream-based design is at odds with the discrete message-oriented nature of datacenter applications, which primarily rely on remote procedure calls (RPCs). This misalignment introduces inefficiencies, particularly in managing message boundaries and software load balancing.
  • Connection Orientation: The paper emphasizes the overhead associated with maintaining TCP connections which demand significant resources. In high-density environments like datacenters, where applications may communicate with thousands of peers, the scalability of such a connection-heavy protocol is severely constrained.
  • Bandwidth Sharing: Ousterhout critiques TCP's fairness-based bandwidth sharing, which can lead to inefficiencies under load. Specifically, short messages—which are critical in datacenter environments—experience undue latency compared to longer messages.
  • Sender-driven Congestion Control: TCP's sender-centric approach to congestion control is inadequate because it relies on indirect signals of congestion, which cannot effectively prevent packet queueing and subsequent latency issues.
  • In-order Packet Delivery: The requirement for in-order packet delivery leads to inefficiencies like flow-consistent routing, resulting in network hot spots and elevated tail latencies due to non-optimal load distribution.

The paper concludes that these problems are so embedded within the design of TCP that incremental improvements are unlikely to provide satisfactory solutions. Instead, a complete overhaul is necessary.

Homa: An Alternative Protocol

Ousterhout presents Homa as a solution, designed with modern datacenter requirements in mind and intentionally addressing each identified shortcoming of TCP:

  • Message-based Architecture: Homa avoids the issues of stream orientation by implementing a message-based protocol, allowing for more effective load balancing and scheduling mechanisms like Shortest Remaining Processing Time (SRPT).
  • Connectionless Design: Homa operates without TCP's cumbersome connection setup and maintenance, thus reducing overhead and scaling more effectively within high-density environments.
  • Receiver-driven Congestion Control: By shifting congestion control to the receiver, Homa enables more precise management of downlink congestion, favoring short message latencies through the strategic use of priority queues.
  • Tolerance for Out-of-order Packets: Homa's ability to handle out-of-order packet arrivals facilitates more efficient network load balancing, including packet-level load distribution techniques that minimize latency spikes.

Implications and Future Directions

The paper proposes a methodical pathway for integrating Homa, suggesting its embedding into major RPC frameworks. This approach would allow for incremental adoption across large-scale datacenter applications. The adoption strategy is realistic given RPC frameworks’ prominence in dictating communication patterns.

The introduction of Homa could have profound practical implications by drastically reducing the inefficiencies often termed the "datacenter tax." The protocol's design promises lower latencies, higher throughput for small messages, and better utilization of network and processing resources.

Theologically, the approach exemplifies a shift in how transport protocols are conceptualized and implemented in computing environments where performance and scalability are paramount. Homa’s ability to be integrated with existing frameworks hints at a future where datacenter efficiency matches its rapidly evolving workloads.

Conclusion

The paper offers a detailed and critical perspective on TCP's inadequacies in datacenters, articulating a coherent case for its replacement by Homa. Given the significant improvements Homa proposes in terms of latency, throughput, and resource utilization, further research and real-world implementation trials could be pivotal in establishing this or a similar protocol as a new standard in datacenter transport.

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