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Distributed Systems Topologies: Part 1

by Nelson Minar
12/14/2001

The peer-to-peer explosion has reminded people of the power of decentralized systems. The promise of robustness, open-endedness, and infinite scalability have made many people excited about decentralization. But in reality, most systems we build on the Internet are largely centralized.

This two-part article develops a framework for comparing distributed system designs. In this first part, I boil down the design of many systems to their essential topologies and describe how hybrid topologies can be made by combining parts. In the second part, I will introduce seven criteria for evaluating a system design and discuss the relative merits of distributed system designs.

Looking at topology

The peer-to-peer trend has renewed interest in decentralized systems. The Internet itself is the largest decentralized computer system in the world. But ironically in the 1990s many systems built on the Internet were completely centralized. The growth of the Web meant most systems were single web servers running in fabulously expensive collocation facilities. Now with peer-to-peer, the pendulum has swung the other way to radically decentralized architectures such as Gnutella. In practice, extreme architectural choices in either direction are seldom the way to build a usable system.

With the Internet, we have 30 years of experience with distributed systems architectures. With all this experience, a high-level framework for understanding distributed systems is helpful for organizing what we have learned.

In this article, I focus on the topology of the distributed systems -- how the different computers in the system fit together. Four basic topologies are in use on the Internet: centralized and decentralized, but also hierarchical and ring systems. These topologies can be used by themselves, or combined into one system creating hybrid systems.

Reader beware: This article takes a very high-level view, trying to encompass 30 years of Internet development into a short article. By necessity, the following analysis is in terms of generalities and may not be accurate for any specific case. My hope is that this approach will help the reader look at system design from the top down, and thereby better evaluate choices, such as whether to use a centralized or decentralized approach for a specific application.

Basic distributed systems topologies

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The debate between centralized and decentralized systems is fundamentally about topology -- in other words, how the nodes in the system are connected. Topology can be considered at many different levels: physical, logical, connection, or organizational.

For this analysis, topology is considered in terms of the information flow. Nodes in the graph are individual computers or programs, links between nodes indicate that those nodes are sharing information regularly in the system. Typically, an edge implies that the two nodes are directly sharing bits across a network link. For simplicity, I do not consider the direction of information flow; edges are considered undirected.

Four common topologies will be explained here: centralized, ring, hierarchical, and decentralized. (A fifth distributed system pattern, group communication, is not considered in this article.)

Centralized

Centralized systems are the most familiar form of topology, typically seen as the client/server pattern used by databases, web servers, and other simple distributed systems. All function and information is centralized into one server with many clients connecting directly to the server to send and receive information. Many applications called "peer-to-peer" also have a centralized component. SETI@Home is a fully centralized architecture with the job dispatcher as the server. And the original Napster's search architecture was centralized, although the file sharing was not.

Ring

A single centralized server cannot handle high client load, so a common solution is to use a cluster of machines arranged in a ring to act as a distributed server. Communication between the nodes coordinates state-sharing, producing a group of nodes that provide identical function but have failover and load-balancing capabilities. Unlike the other topologies here, ring systems are generally built assuming the machines are all nearby on the network and owned by a single organization.

Hierarchical

Hierarchical systems have a long history on the Internet, but in practice are often overlooked as a distinct distributed systems topology. The best-known hierarchical system on the Internet is the Domain Name Service, where authority flows from the root name-servers to the server for the registered name and often down to third-level servers. NTP, the Network Time Protocol, creates another hierarchical system.

In NTP, there are root time servers that have authoritative clocks; other computers synchronize to root time servers in a self-organizing tree. NTP has over 175,000 hosts with most hosts being two or three links away from a root time source. Usenet is another large hierarchical system, using a tree-like structure to copy articles between servers. It is particularly interesting in that the underlying protocols are symmetric but in practice, articles propagate along tree-like paths with a relatively small set of hosts acting as the backbone.

Decentralized

The final topology we consider here is decentralized systems, where all peers communicate symmetrically and have equal roles. Gnutella is probably the most "pure" decentralized system used in practice today, with only a small centralized function to bootstrap a new host. Many other file-sharing systems are also designed to be decentralized, such as Freenet or OceanStore. Decentralized systems are not new; the Internet routing architecture itself is largely decentralized, with the Border Gateway Protocol used to coordinate the peering links between various autonomous systems.

Hybrid topologies

Distributed systems often have a more complex organization than any one simple topology. Real-world systems often combine several topologies into one system, making a hybrid topology. Nodes typically play multiple roles in such a system. For example, a node might have a centralized interaction with one part of the system, while being part of a hierarchy in another part.

Centralized + Ring

As mentioned above, serious web server applications often have a ring of servers for load balancing and failover. The server system itself is a ring, but the system as a whole (including the clients) is a hybrid: a centralized system where the server is itself a ring. The result is the simplicity of a centralized system (from the client's point of view) with the robustness of a ring.

Centralized + Centralized

The server in a centralized system is itself often a client of one or more other servers. Stacking multiple centralized systems is the core of n-tier application frameworks. For example, when a web browser contacts a server, the software on that server may just be formatting results into HTML for presentation and itself calling to servers hosting business logic or data. Web services intermediaries such as Grand Central Networks also create several layers of centralized system. Centralized systems are often stacked as a way to compose function.

Centralized + Decentralized

A new wave of peer-to-peer systems is advancing an architecture of centralized systems embedded in decentralized systems. This hybrid topology is realized with hundreds of thousands of peers in the FastTrack file-sharing system used in KaZaA and Morpheus. Most peers have a centralized relationship to a "supernode," forwarding all file queries to this server (much like a Napster client sends queries to the Napster server). But instead of supernodes being standalone servers, they band themselves together in a Gnutella-like decentralized network, propagating queries. Internet email also shows this kind of hybrid topology. Mail clients have a centralized relationship with a specific mail server, but mail servers themselves share email in a decentralized fashion.

Other topologies

There are limitless possibilities in combining various kinds of architectures. A centralized system could have a hierarchy of machines in the role of server. Decentralized systems could be built that span different rings or hierarchies. Systems could conceivably be built with three or more topologies combined, although the resulting complexity may be too difficult to manage. Topology is a useful simplifying tool in understanding the architecture of distributed systems.

Conclusion, and on to evaluation

In this article, I have introduced a way to think of distributed system design. By looking at systems in terms of their topology, it is possible to examine a wide spectrum of systems we have on the Internet today, from centralized to decentralized and with architectures in between. In the second part of this article, I will develop a framework for analyzing the strengths and weaknesses of distributed systems and apply it to the different topologies presented here.

Note: this article is based on a talk given by Nelson Minar at the O'Reilly Peer-to-Peer and Web Services Conference in November, 2001. The slides from that talk are also online.

Nelson Minar was co-founder of Popular Power.


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