摘要:
Sampling rules for information dissemination are described which may be applied in a system containing a number of nodes arranged into groups. A target address is selected using one of two methods: selection of an address from the entire address space of the system and selection of an address from a part of the address space which corresponds to set of groups of nodes. The set of groups of nodes is updated when information is successfully disseminated to a node at a target address selected using the first of the two methods. Rules to determine which of the two methods are used for any particular selection operation are also described.
摘要:
Sampling rules for information dissemination are described which may be applied in a system containing a number of nodes arranged into groups. A target address is selected using one of two methods: selection of an address from the entire address space of the system and selection of an address from a part of the address space which corresponds to set of groups of nodes. The set of groups of nodes is updated when information is successfully disseminated to a node at a target address selected using the first of the two methods. Rules to determine which of the two methods are used for any particular selection operation are also described.
摘要:
A content distribution network (CDN) comprising content storage nodes (CSNs) or caches having storage space that preferentially stores more popular content objects.
摘要:
A dynamic capacity management policy for multi-paralleled computing resources (e.g., application servers, virtual application servers, etc.) that includes one or more of a state-change component, a load-balancing component, and a robustness-control component. The state-change component delays the release (e.g., powering down of a physical server, removal from a virtual-server lease, etc.) of each computing resource for a set amount of time. The load-balancing component can work in conjunction with the state-change component to reduce the number of idle computing resources by distributing incoming requests in a manner that keeps the already-processing computing resources as full of requests as possible. The robustness-control component scales capacity as a function of the current number of requests within the system of computing resources to account for variations other than request rate, such as request size, reduced processor frequency, network slowdowns, etc., that affect processing capacity.
摘要:
A dynamic capacity management policy for multi-paralleled computing resources (e.g., application servers, virtual application servers, etc.) that includes one or more of a state-change component, a load-balancing component, and a robustness-control component. The state-change component delays the release (e.g., powering down of a physical server, removal from a virtual-server lease, etc.) of each computing resource for a set amount of time. The load-balancing component can work in conjunction with the state-change component to reduce the number of idle computing resources by distributing incoming requests in a manner that keeps the already-processing computing resources as full of requests as possible. The robustness-control component scales capacity as a function of the current number of requests within the system of computing resources to account for variations other than request rate, such as request size, reduced processor frequency, network slowdowns, etc., that affect processing capacity.