SYSTEM AND METHODOLOGY FOR AUTOMATICALLY DETERMINING AND IMPLEMENTING OPTIMIZED DATA REPLICATION ACROSS CLOUD STORAGE NODES
20170336982 · 2017-11-23
Assignee
Inventors
Cpc classification
G06F3/0632
PHYSICS
G06F2201/84
PHYSICS
G06F3/0607
PHYSICS
G06F3/067
PHYSICS
International classification
Abstract
A system and method for implementing optimized data replication across cloud storage nodes, the system comprising a cluster of computer system devices. The system comprises one or more memory devices and a plurality of processors. The one or more memory devices, stores a set of program modules. A processor among the plurality of processor executes the set of program modules. The set of program modules comprises an input module and a data transfer module. The input module receives a first instruction to add a first computer system device to the cluster, wherein the first computer system device comprises a first memory device. The data transfer module copies data in at least one memory device in the cluster of computer system devices, to the first memory device, based on number of computer system devices in the cluster being lesser than a predefined number.
Claims
1. A system for implementing optimized data replication across cloud storage nodes, the system comprising: a cluster of computer system devices; one or more memory devices, comprised in one or more computer system devices of the cluster of computer system devices, wherein each memory device among the one or more memory devices stores: a set of program modules; a plurality of processors, a processor among the plurality of processor being comprised in a computer system device of the cluster of computer system devices, wherein at least one processor executes the set of program modules, the set of program modules comprising: an input module, executed by the at least one processor, configured to: receive a first instruction to add a first computer system device to the cluster, wherein the first computer system device comprises a first memory device; and a data transfer module, executed by the processor, configured to copy data in at least one memory device in the cluster of computer system devices, to the first memory device, based on number of computer system devices in the cluster being lesser than a predefined number.
2. The system of claim 1, wherein the input module receives the first instruction from at least one of a user and at least one computer system device in the cluster.
3. The system of claim 1, wherein data in the at least one memory device is at least one of images, videos, documents, computer instructions, and databases.
4. The system of claim 1, wherein each computer system device in the cluster of computer system device is at least one of a laptop, a server, a network hardware device, a personal computer, and a smart phone, or any combination thereof.
5. The system of claim 1, wherein each computer system device in the cluster of computer system device is connected to each other via a network.
6. The system of claim 1, wherein the network is at least one of Bluetooth, WI-FI, mobile networks, and a WiMax network.
7. A method of implementing optimized data replication across cloud storage nodes, the method comprising: receiving by at least one processor via an input module, a first instruction to add a first computer system device to the cluster, wherein the first computer system device comprises a first memory device; and copying by the at least one processor via a data transfer module, data in at least one memory device in the cluster of computer system devices, to the first memory device, based on number of computer system devices in the cluster being lesser than a predefined number.
8. The method of claim 7, wherein the input module receives the first instruction from at least one of a user and at least one computer system device in the cluster.
9. The method of claim 7, wherein data in the at least one memory device is at least one of images, videos, documents, computer instructions, and databases.
10. The method of claim 7, wherein each computer system device in the cluster of computer system device is at least one of a laptop, a server, a network hardware device, a personal computer, and a smart phone, or any combination thereof.
11. The method of claim 7, wherein each computer system device in the cluster of computer system device is connected to each other via a network.
12. The method of claim 7, wherein the network is at least one of Bluetooth, WI-FI, mobile networks, and a WiMax network.
Description
BRIEF DESCRIPTION OF DRAWINGS
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DETAILED DESCRIPTION
[0017] A description of embodiments of the present invention will now be given with reference to the Figures. It is expected that the present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The described embodiments are to be considered in all respects only as illustrative and not restrictive. The scope of the invention is, therefore, indicated by the appended claims rather than by the foregoing description. All changes that come within the meaning and range of equivalency of the claims are to be embraced within their scope.
[0018]
[0019] At least one of the first memory device 125 and the second memory device 135 stores a set of program modules. The set of program modules comprises an input module and a data transfer module. At least one processor among the first processor 130, the second processor 140, and the third processor 145 executes the set of program modules. The at least one processor executes the set of program modules. In one example, the set of program modules are executed by a combination of multiple processors among the first processor 130, the second processor 140, and the third processor 145.
[0020] Referring to
[0021] The first computer system device comprises a first memory device. The data transfer module 215, executed by the processor 205, is configured to copy data in at least one memory device in the cluster of computer system devices, to the first memory device, based on number of computer system devices in the cluster being lesser than a predefined number.
[0022] In one embodiment of the present invention, the input module 210 receives the first instruction from at least one of a user and at least one computer system device in the cluster. The data in the at least one memory device is at least one of images, videos, documents, computer instructions, and databases. Each computer system device in the cluster of computer system device is at least one of a laptop, a server, a network hardware device, a personal computer, and a smart phone, or any combination thereof. Each computer system device in the cluster of computer system device is connected to each other via a network 220. The network 220 is at least one of Bluetooth, WI-FI, mobile networks, and a WiMax network. The network can also be a wired copper or fiber network as well (e.g., ethernet).
[0023]
[0024] At step 310, each of the first memory device and the second memory device stores a set of program modules comprising an input module, and a data transfer module. At least one processor among the first processor, the second processor, and the third processor executes the set of program modules.
[0025] At step 315, an input module, executed by the processor receives via an input module, a first instruction to add a first computer system device to the cluster, wherein the first computer system device comprises a first memory device.
[0026] At step 320, a data transfer module executed by the processor copies data in at least one memory device in the cluster of computer system devices, to the first memory device, based on number of computer system devices in the cluster being lesser than a predefined number.
[0027] The method 300 ends at step 325.
[0028] In one example,
[0029] Such optimization is accomplished as each node initially replicates data on itself when the cluster is deemed of insufficient size. When a node is added, as is the case when a single node cluster becomes a two node cluster, data is replicated as between the node, which data is then self-replicated internally to the node. When a third node is added, data is replicated to the third node.
[0030] Referring now specifically to
[0031] At some point in time, additional storage nodes are likely to be added to the cluster. Accordingly, in step 4000, a storage node is added to the cloud cluster. Step 4000 is the same in each of
[0032] Referring now specifically to
[0033] Referring now specifically to
[0034] The foregoing description comprises illustrative embodiments of the present invention. Having thus described exemplary embodiments of the present invention, it should be noted by those skilled in the art that the within disclosures are exemplary only, and that various other alternatives, adaptations, and modifications may be made within the scope of the present invention. Merely listing or numbering the steps of a method in a certain order does not constitute any limitation on the order of the steps of that method. Many modifications and other embodiments of the invention will come to mind to one skilled in the art to which this invention pertains having the benefit of the teachings presented in the foregoing descriptions. Although specific terms may be employed herein, they are used only in generic and descriptive sense and not for purposes of limitation. Accordingly, the present invention is not limited to the specific embodiments illustrated herein.