What Is A Google Dance? The name "Google Dance" is often used to describe the index update of the Google search engine. Google's index update occurs on average once per month. It can be identified by significant movement in search results and especially by Google's cache of all indexed pages reflecting the status of Google's last spidering. But the update does not proceed as a switch from one index to another at one point in time. In fact, it takes several days to complete the index update. During this period, the old and the new index alternate on www.google.com. At an early stage, the results from the new index occur sporadically. But later on, they appear more frequently. Google dances. Technical Background on Google The Google search engine pulls its results from more than 10,000 servers which are simple Linux PCs that are used by Google for reasons of cost. Naturally, an index update cannot be proceeded on all those servers at the same time. One server after the other has to be updated with the new index. Many webmasters think that, during the Google Dance, Google is in some way able to control if a server with the new index or a server with an old index responds to a search query. But, since Google's index is inverse, this would be very complicated. As we will show below, there is no such control within the system. In fact, the reason for the Google Dance is Google's way of using the Domain Name System (DNS). Google Dance and DNS Not only Google's index is spread over more than 10,000 servers, but also these servers are, as of now, placed in eight different data centers. These data centers are mainly located in the US (i.e. Santa Clara, California and Herndon, Virginia), indeed, in June 2002 Google's first European data center in Zurich, Switzerland went online. Very likely, there are more data centers to come, which will perhaps be spread over the whole world. However, in January and April 2003 Google has put two data centers on stream which are again located in the US. In order to direct traffic to all these data centers, Google could thoeretically record all queries centrally and then send them to the data centers. But this would obviously be inefficient. In fact, each data center has its own IP address (numerical address on the internet) and the way these IP addresses are accessed is managed by the Domain Name System. Basically, the DNS works like this: On the Internet, data transfers always take place in-between IP addresses. The information about which domain resolves to which IP address is provided by the name servers of the DNS. When a user enters a domain into his browser, a locally configured name server gets him the IP address for that domain by contacting the name server which is responsible for that domain. (The DNS is structured hierarchically. Illustrating the whole process would go beyond the scope of this paper.) The IP address is then cached by the name server, so that it is not necessary to contact the responsible name server each time a connection is built up to a domain. The records for a domain at the responsible name server constitute for how long the record may be cached by a caching name server. This is the Time To Live (TTL) of a domain. As soon as the TTL expires, the caching name server has to fetch the record for a domain again from the responsible name server. Quite often, the TTL is set to one or more days. In contrast, the Time To Live of the domain www.google.com is only five minutes. So, a name server may only cache Google's IP address for five minutes and has then to look up the IP address again. Each time, Google's name server is contacted, it sends back the IP address of only one data center. In this way, Google queries are always directed to different data centers by changing DNS records. On the one hand, the DNS records may be based on the load of the single data centers. In this way, Google would conduct a simple form of load balancing by its use of t