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Ashok Anand

Ashok Anand, Madison, WI US

Patent application numberDescriptionPublished
20090138881Prevention of Deadlock in a Distributed Computing Environment - A method for preventing deadlock in a distributed computing system includes the steps of: receiving as input a sorted set of containers defining a unique global sequence of containers for servicing process requests; populating at least one table based at least in part on off-line analysis of call graphs defining corresponding transactions for a given order of the containers in the sorted set; storing within each container at least a portion of the table; and allocating one or more threads in a given container according to at least a portion of the table stored within the given container.05-28-2009
20090138882Prevention of Deadlock in a Distributed Computing Environment - A system for preventing deadlock in a distributed computing system includes a memory and at least one processor coupled to the memory. The processor is operative: to receive as input a sorted set of containers defining a unique global sequence of containers for servicing process requests; to populate at least one table based at least in part on off-line analysis of call graphs defining corresponding transactions for a given order of the containers in the sorted set; to store within each container at least a portion of the at least one table; and to allocate one or more threads in a given container according to at least a portion of the at least one table stored within the given container.05-28-2009
20090138885Prevention of Deadlock in a Distributed Computing Environment - A method for preventing deadlock in a distributed computing system includes the steps of: receiving as input a sorted set of containers defining a unique global sequence of containers for servicing process requests; populating at least one table based at least in part on off-line analysis of call graphs defining corresponding transactions for a given order of the containers in the sorted set; storing within each container at least a portion of the table; and allocating one or more threads in a given container according to at least a portion of the table stored within the given container.05-28-2009
20090138886Prevention of Deadlock in a Distributed Computing Environment - A system for preventing deadlock in a distributed computing system includes a memory and at least one processor coupled to the memory. The processor is operative: to receive as input a sorted set of containers defining a unique global sequence of containers for servicing process requests; to populate at least one table based at least in part on off-line analysis of call graphs defining corresponding transactions for a given order of the containers in the sorted set; to store within each container at least a portion of the at least one table; and to allocate one or more threads in a given container according to at least a portion of the at least one table stored within the given container.05-28-2009
20100254377Network Routing System Providing Increased Network Bandwidth - A network employing multiple redundancy-aware routers that can eliminate the transmission of redundant data is greatly improved by steering redundant data preferentially into common data paths possibly contrary to other routing paradigms. By collecting redundant data in certain pathways, the effectiveness of the redundancy-aware routers is substantially increased.10-07-2010
20100254378NETWORK ROUTING SYSTEM PROVIDING INCREASED NETWORK BANDWIDTH - A network employing multiple redundancy-aware routers that can eliminate the transmission of redundant data is greatly improved by steering redundant data preferentially into common data paths possibly contrary to other routing paradigms. By collecting redundant data in certain pathways, the effectiveness of the redundancy-aware routers is substantially increased.10-07-2010
20100329256ARCHITECTURE AND SYSTEM FOR COORDINATED NETWORK-WIDE REDUNDANCY ELIMINATION - A network employing redundancy-aware hardware may actively allocate decompression tasks among different devices along a single path to improve data throughput. The allocation can be performed by a hash or similar process operating on a header of the packets to distribute caching according to predefined ranges of hash values without significant additional communication overhead. Decompression of packets may be similarly distributed by marking shim values to match the earlier caching of antecedent packets. Nodes may use coordinated cache sizes and organizations to eliminate the need for separate cache protocol communications.12-30-2010

Ashok Anand, Purandaha IN

Patent application numberDescriptionPublished
20100281455DETERMINING SYSTEM LEVEL DEPENDENCIES - Techniques for co-relating at least one of a functional design and at least one implementation artifact of a solution with at least one infrastructure component of a target deployment environment for the solution are provided. The techniques include obtaining at least one of a functional design and at least one implementation artifact of a solution, obtaining at least one infrastructure component of a target deployment environment for the solution, and co-relating at least one of a functional design and at least one implementation artifact of a solution with at least one infrastructure component of a target deployment environment for the solution, wherein co-relating comprises discovering at least one system level dependency among the at least one of a functional design and at least one implementation artifact and the at least one infrastructure component.11-04-2010

Ashok Anand, New Delhi IN

Patent application numberDescriptionPublished
20090019222METHOD AND SYSTEM FOR PLACEMENT OF LOGICAL DATA STORES TO MINIMIZE REQUEST RESPONSE TIME - Logical data stores are placed on storages to minimize store request time. The stores are sorted. A store counter and a storage counter are each set to one. (A), (B), and (C) are repeated until the storage counter exceeds the number of storages within the array. (A) is setting a load for the storage specified by the storage counter to zero. (B) is performing (i), (ii), and (iii) while the load for the storage specified by the storage counter is less an average determined load over all the storages. (i) is allocating the store specified by the store counter to the storage specified by the storage counter; and, (ii) is incrementing the load for this storage by this storage's request arrival rate multiplied by an expected service time for the requests of this store. (iii) is incrementing the store counter by one. (C) is incrementing the storage counter by one.01-15-2009

Patent applications by Ashok Anand, New Delhi IN