摘要:
The claimed subject matter provides a system and/or a method that facilitates managing a number of active servers in a cluster. A forecast component can predict at least one of login rate or number of connections in the cluster at a future time. A dynamic load analysis component can evaluate dynamic behaviors in login rate and number of connections in the cluster as a result of load dispatching. Moreover, a provisioning component can determine a number of servers in the cluster needed based at least in part on the prediction and dynamic behavior analysis. In addition, the provisioning component can include an additional margin in the number of servers needed in accordance with multiplicative factors.
摘要:
The claimed subject matter provides a system and/or a method facilitates energy-aware connection distribution among a plurality of servers in a cluster. A set of busy servers in the cluster can be provided that each handle a high number of connections. In addition, a set of tail servers in the cluster can be managed that each maintain a low number of connections. A load skewing component gives priority to at least a subset of the set of busy servers when dispatching new connection requests from a plurality of users. In addition, the load skewing component controls the number of tail servers to maintain a sufficient number for energy-aware operation.
摘要:
The claimed subject matter provides a system and/or a method that facilitates managing a number of active servers in a cluster. A forecast component can predict at least one of login rate or number of connections in the cluster at a future time. A dynamic load analysis component can evaluate dynamic behaviors in login rate and number of connections in the cluster as a result of load dispatching. Moreover, a provisioning component can determine a number of servers in the cluster needed based at least in part on the prediction and dynamic behavior analysis. In addition, the provisioning component can include an additional margin in the number of servers needed in accordance with multiplicative factors.
摘要:
The claimed subject matter provides a system and/or a method facilitates energy-aware connection distribution among a plurality of servers in a cluster. A set of busy servers in the cluster can be provided that each handle a high number of connections. In addition, a set of tail servers in the cluster can be managed that each maintain a low number of connections. A load skewing component gives priority to at least a subset of the set of busy servers when dispatching new connection requests from a plurality of users. In addition, the load skewing component controls the number of tail servers to maintain a sufficient number for energy-aware operation.
摘要:
System and method of partitioning a plurality of data objects that are each represented by a respective high dimensional feature vector is described, including performing a hashing function on each high dimensional feature vector to generate a respective lower dimensional binary compact feature vector for the data object that is represented by the high dimensional feature vector; performing a further hashing function on each compact feature vector to assign a sub-index ID to the compact feature vector; and partitioning the compact feature vectors into respective partition groups that correspond to the sub-index IDs assigned to the compact feature vectors.
摘要:
System and method of generating an index structure for indexing a plurality of unstructured data objects, including: generating a set of compact feature vectors, the set including a compact feature vector for each of the data objects, the compact feature vector for each data object including a sequence of hashed values that represent the data object; generating a plurality of twisted compact feature vector sets for each of set of compact feature vectors, each of the twisted compact feature vector sets being generated by applying a respective random shuffling permutation to the set of compact feature vectors; and for each twisted compact feature vector set, generating an index for the data objects in which the data objects are slotted based on sequences of hashed values in the twisted compact feature vector set.
摘要:
A method and apparatus for alerting nodes of a malicious node in a mobile ad-hoc communication system is provided herein. Particularly, a method and apparatus for distributing an alert message to nodes surrounding a recently discovered malicious node is provided. This alert technique further leverages mobility to distribute the alert message to a large majority of nodes in the ad hoc wireless network within a reasonable amount of time.
摘要:
System and method of partitioning a plurality of data objects that are each represented by a respective high dimensional feature vector is described, including performing a hashing function on each high dimensional feature vector to generate a respective lower dimensional binary compact feature vector for the data object that is represented by the high dimensional feature vector; performing a further hashing function on each compact feature vector to assign a sub-index ID to the compact feature vector; and partitioning the compact feature vectors into respective partition groups that correspond to the sub-index IDs assigned to the compact feature vectors.
摘要:
System and method of generating an index structure for indexing a plurality of unstructured data objects, including: generating a set of compact feature vectors, the set including a compact feature vector for each of the data objects, the compact feature vector for each data object including a sequence of hashed values that represent the data object; generating a plurality of twisted compact feature vector sets for each of set of compact feature vectors, each of the twisted compact feature vector sets being generated by applying a respective random shuffling permutation to the set of compact feature vectors; and for each twisted compact feature vector set, generating an index for the data objects in which the data objects are slotted based on sequences of hashed values in the twisted compact feature vector set.