Implementation of a web-scale data fabric
First Claim
1. A system for processing business operations transactions and associated augmented customer data, the system comprising:
- a plurality of computer servers interconnected with a software defined network (SDN) via a plurality of network switches, controllers, and network interfaces, and facilitated by an operating system (OS) comprising a network operating system (NOS), a distributed file system (DFS), a grid node operating system (GNOS), and a resource negotiator (RN), the plurality of computer servers configured for economical large scale computation and data storage with resilience despite underpinning commodity hardware failure and grow-shrink capacity changes of nodes and associated interconnectivity, wherein the plurality of computer servers are configured to;
implement commodity hardware for economy measured by ownership cost, andperform computation and store data within the computer grid;
direct attached storage (DAS) comprising just a bunch of disks (JBOD) configured for storage economy measured in total cost of ownership;
random access memory (RAM) coupled to the DAS to provide storage capacity for the plurality of computer servers;
a central processing unit (CPU);
a co-processor coupled to the CPU to provide computation capacity for the plurality of computer servers;
wherein;
the SDN is configured to connect to an external computer network (ECN) for external client input and output,the NOS and the RN are configured to interface with the SDN to perform a physical-to-virtual network connectivity mapping between the plurality of computer servers and the ECN for negotiated bandwidth and latency conducive to at least one of computation, data receipt, and storage,the DFS and the GNOS are configured to interface with the plurality of computer servers to maintain resilient storage of data received from the ECN or computationally derived from the received data,the RN and the GNOS are configured to interface with the plurality of computer servers to perform physical-to-virtual parallel computation with negotiated computational capacity on data that is stored on the DAS or cached in the RAM,the DFS is configured to implement a distributed file system (DFS),the NOS is configured to facilitate physical-to-virtual network connectivity with managed bandwidth and latency, andthe RN is configured to implement a resource-management platform.
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Accused Products
Abstract
Methods and systems for processing business operations transactions and associated augmented customer data using a Web-Scale Data Fabric (WSDF). According to embodiments, a plurality of computer servers are configured for economical large scale computation and data storage with resilience despite underpinning commodity hardware failure and grow-shrink capacity changes of nodes and associated interconnectivity. The servers communicate with direct attached storage (DAS) and include a co-processor coupled for computation capacity. The servers can connect to an external computer network (ECN) for external client input and output, as well as other functionalities such as physical-to-virtual network connectivity mapping and maintaining resilient storage of data received from the ECN or computationally derived from the received data.
68 Citations
11 Claims
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1. A system for processing business operations transactions and associated augmented customer data, the system comprising:
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a plurality of computer servers interconnected with a software defined network (SDN) via a plurality of network switches, controllers, and network interfaces, and facilitated by an operating system (OS) comprising a network operating system (NOS), a distributed file system (DFS), a grid node operating system (GNOS), and a resource negotiator (RN), the plurality of computer servers configured for economical large scale computation and data storage with resilience despite underpinning commodity hardware failure and grow-shrink capacity changes of nodes and associated interconnectivity, wherein the plurality of computer servers are configured to; implement commodity hardware for economy measured by ownership cost, and perform computation and store data within the computer grid; direct attached storage (DAS) comprising just a bunch of disks (JBOD) configured for storage economy measured in total cost of ownership; random access memory (RAM) coupled to the DAS to provide storage capacity for the plurality of computer servers; a central processing unit (CPU); a co-processor coupled to the CPU to provide computation capacity for the plurality of computer servers; wherein; the SDN is configured to connect to an external computer network (ECN) for external client input and output, the NOS and the RN are configured to interface with the SDN to perform a physical-to-virtual network connectivity mapping between the plurality of computer servers and the ECN for negotiated bandwidth and latency conducive to at least one of computation, data receipt, and storage, the DFS and the GNOS are configured to interface with the plurality of computer servers to maintain resilient storage of data received from the ECN or computationally derived from the received data, the RN and the GNOS are configured to interface with the plurality of computer servers to perform physical-to-virtual parallel computation with negotiated computational capacity on data that is stored on the DAS or cached in the RAM, the DFS is configured to implement a distributed file system (DFS), the NOS is configured to facilitate physical-to-virtual network connectivity with managed bandwidth and latency, and the RN is configured to implement a resource-management platform. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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Specification