Separating data and control transfer in distributed operating systems

  • Authors:

  • Chandramohan A. Thekkath;Henry M. Levy;Edward D. Lazowska

  • Affiliations:

  • DEC Systems Research Center, 130 Lytton Avenue, Palo Alto, CA;Department of Computer Science and Engineering, FR-35, University of Washington, Seattle, WA;Department of Computer Science and Engineering, FR-35, University of Washington, Seattle, WA

  • Venue:
  • ASPLOS VI Proceedings of the sixth international conference on Architectural support for programming languages and operating systems
  • Year:
  • 1994

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Abstract

Advances in processor architecture and technology have resulted in workstations in the 100+ MIPS range. As well, newer local-area networks such as ATM promise a ten- to hundred-fold increase in throughput, much reduced latency, greater scalability, and greatly increased reliability, when compared to current LANs such as Ethernet.We believe that these new network and processor technologies will permit tighter coupling of distributed systems at the hardware level, and that distributed systems software should be designed to benefit from that tighter coupling. In this paper, we propose an alternative way of structuring distributed systems that takes advantage of a communication model based on remote network access (reads and writes) to protected memory segments.A key feature of the new structure, directly supported by the communication model, is the separation of data transfer and control transfer. This is in contrast to the structure of traditional distributed systems, which are typically organized using message passing or remote procedure call (RPC). In RPC-style systems, data and control are inextricably linked—all RPCs must transfer both data and control, even if the control transfer is unnecessary.We have implemented our model on DECstation hardware connected by an ATM network. We demonstrate how separating data transfer and control transfer can eliminate unnecessary control transfers and facilitate tighter coupling of the client and server. This has the potential to increase performance and reduce server load, which supports scaling in the face of an increasing number of clients. For example, for a small set of file server operations, our analysis shows a 50% decrease in server load when we switched from a communications mechanism requiring both control transfer and data transfer, to an alternative structure based on pure data transfer.