RESOURCE SHARING-AWARE ONLINE TASK UNLOADING METHOD

Disclosed in the present invention is a resource sharing-aware online task unloading method. The method comprises: sorting stations, so as to obtain a station sequence; pre-allocating users to the stations by means of solving a modeled user allocation problem, wherein the optimization objectives of the user allocation problem are meeting the delay requirement of each user, and maximizing a resource sharing opportunity; and for each station, by means of solving a modeled server loading problem, determining, for user tasks in an obtained user set, servers to be subjected to task loading, wherein the optimization objectives of the server loading problem are loading, by using the fewest servers, the tasks of the users pre-allocated to each station, and meeting resource capacity limitations of the servers. By using the present invention, a task unloading problem of a plurality of instances of a single application can be solved, the delay requirement of each user in the instances can be met, and the cost of the ser