Abstract: A single sign-on facility providing access across multiple application instances is described. The facility receives sign-in data from a user that includes a sign-in name and password. The facility generates a modified sign-in name by adding information identifying a particular application instance to the received sign-in name. The facility then acts on behalf of the user based upon the generated modified sign-in name and the received password.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

Abstract: A request for a webpage or a service of a website server is sent from a user computing device to a proxy website server. The proxy website server can receive information from a website server indicative of a usage level of the website server. The proxy website server can determine whether to send the request to the website server based on usage of the website server compared to a capacity threshold. The proxy website server can send a response to the user computing device which includes either the requested webpage or service from the website server or an error message.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

Abstract: A request for a webpage or a service of a website server is sent from a user computing device to a proxy website server. The proxy website server can receive information from a website server indicative of a usage level of the website server. The proxy website server can determine whether to send the request to the website server based on usage of the website server compared to a capacity threshold. The proxy website server can send a response to the user computing device which includes either the requested webpage or service from the website server or an error message.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.