WO2018150316A1

WO2018150316A1 - A computational resource network to prioritize nodes in a network

Info

Publication number: WO2018150316A1
Application number: PCT/IB2018/050861
Authority: WO
Inventors: Shally Vijayendra GUPTA; Ashish Anand; Vijayendra Kumar GUPTA
Original assignee: Gupta Shally Vijayendra
Priority date: 2017-02-17
Filing date: 2018-02-13
Publication date: 2018-08-23

Abstract

A computational resource network to prioritize nodes in a network. A computational resource network (100) comprises a plurality of nodes (A-N) and at least one database (104). The nodes (A-N) are interconnected to form the network (102). Each of the nodes (A-N) is configured to receive resource from at least one other node (A-N) in the network (102) or share resource with at least one other node (A-N) in the network (102). The database (104) records, for each of the nodes (A-N), information corresponding to resources received from and shared with other nodes in the network (102) and prioritises nodes (A-N) in the network (102) at least based on said information associated with each of the nodes (A-N) corresponding to the resources received from and shared with other nodes (A-N) in the network (102).

Description

A COMPUTATIONAL RESOURCE NETWORK TO PRIORITIZE NODES IN

A NETWORK

BACKGROUND

[0001] Unless otherwise indicated herein, the materials described in this section are not prior art to the claims in this application and are not admitted to being prior art by inclusion in this section.

Field of the invention:

[0002] The subject matter in general relates to the field of network systems. More particularly, but not exclusively, the subject matter relates to recording resources of a node shared with and received from other nodes in a computational resource network, and prioritising the nodes based on the recording.

Discussion of the related art:

[0003] A computational resource network is an interconnection of entities engaged in sharing resources with each other. Each entity can be represented as a node in the network, wherein nodes are connected to each other by a common attribute. The computational resource networks provide a platform for the nodes to provide and receive computing resources. The computational resource network measures concrete attributes such as computing capacity, solutions to problems, performance, network throughput of the nodes among others.

[0004] Conventionally, computational resource networks provide two nodes that are in communication with each other within the network to provide recommendations to each other. These recommendations are not always genuine and are exchanged based on benefits the nodes may gain from each other. These inauthentic recommendations may result in dubious priorities of the nodes and may adversely affect the priority of nodes within the network that have obtained genuine recommendations.

[0005] Also, a node that has become self-sufficient over a period of time after obtaining resources from another capable node may not necessarily provide the resources back to the node it obtained the resources from. The node may tend to provide its resources to other nodes based on some mutual association. Even though the node has not given back the resources to the node it obtained the resources from, the priority of the node may improve just because it has shared the resources with a different node. This may result in lack of reliance between nodes within the network, adversely affecting the communication between nodes within the network.

[0006] In light of the foregoing discussion, there is a need for an improved technique to provide a computational resource network which can measure the resources being shared or received at each node so that prioritizing the nodes becomes unerring and dependable.

SUMMARY

[0007] In an embodiment, a computational resource network comprising a plurality of nodes and at least one database is provided. The nodes are interconnected to form the network. The nodes are in communication with the database via a communication network. Each of the nodes is configured to receive resource from at least one other node in the network or share resource with at least one other node in the network. For each of the nodes, the database records information corresponding to resources received from and shared with other nodes in the network. The computational resource network prioritizes the nodes in the network at least based on said information associated with each of the nodes corresponding to the resources received from and shared with other nodes in the network.

BRIEF DESCRIPTION OF DIAGRAMS

[0008] This disclosure is illustrated by way of example and not limitation in the accompanying figures. Elements illustrated in the figures are not necessarily drawn to scale, in which like references indicate similar elements and in which:

[0009] FIG. 1A illustrates a computational resource network 100 comprising a network 102 of plurality of nodes A-N in communication with a database 104, in accordance with an embodiment;

[0010] FIG. IB illustrates a computational resource network 200 comprising a plurality of networks 102, 108 in communication with a database 104, in accordance with an embodiment;

[0011] FIG. 2 illustrates an embodiment of the computational resource network 100;

[0012] FIG. 3A illustrates a network 102B of nodes, in accordance with an embodiment; [0013] FIG. 3B illustrates a network 102C of nodes, in accordance with an embodiment;

[0014] FIG. 4A illustrates a network 102D of nodes, in accordance with an embodiment;

[0015] FIG. 4B illustrates a network 102E of nodes, in accordance with an embodiment;

[0016] FIG. 5A illustrates a network 102F of nodes, in accordance with an embodiment; and [0017] FIG. 5B illustrates a network 102G of nodes, in accordance with an embodiment.

DETAILED DESCRIPTION OF THE INVENTION

[0018] The following detailed description includes references to the accompanying drawings, which form part of the detailed description. The drawings show illustrations in accordance with example embodiments. These example embodiments are described in enough detail to enable those skilled in the art to practice the present subject matter. However, it may be apparent to one with ordinary skill in the art that the present invention may be practised without these specific details. In other instances, well-known methods, procedures and components have not been described in detail so as not to unnecessarily obscure aspects of the embodiments. The embodiments can be combined, other embodiments can be utilized, or structural and logical changes can be made without departing from the scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense.

[0019] In this document, the terms "a" or "an" are used, as is common in patent documents, to include one or more than one. In this document, the term "or" is used to refer to a nonexclusive "or", such that "A or B" includes "A but not B", "B but not A", and "A and B", unless otherwise indicated.

[0020] It should be understood, that the capabilities of the invention described in the present disclosure and elements shown in the figures may be implemented in various forms of hardware, firmware, software, recordable medium or combinations thereof.

OVERVIEW

[0021] Disclosed is a computational resource network 100 comprising a plurality of nodes A-N to form a network 102 and a database 104. The nodes A-N may be interconnected to form the network 102. The nodes A-N may be in communication with the database 104 via a communication network 106. Each of the nodes A-N may be configured to receive resource from at least one other node A-N in the network 102 or share resource with at least one other node A-N in the network 102. For each of the nodes A-N, the database 104 may be configured to record information corresponding to the resources received from and shared with the nodes A-N in the network 102. The information associated with the nodes A-N may correspond to the resources received from and shared with the nodes A-N in the network 102. The database 104 may also record summation of resources received from and shared with other nodes A-N for each of the nodes A-N in the network 102. In addition, the nodes A-N in the network 102 may view the resources shared with and received from the nodes A-N.

[0022] In an embodiment, the database 104 may be configured to prioritise the nodes A- N in the network 102 based on the recorded information. The computational resource network 100 may be configured to prioritize the nodes A-N when nodes A-N provide resources to other nodes A-N and receives the resources from the nodes A-N in the network 102. The network 102 may be configured to positively influence the priority of the nodes A-N, if the nodes A-N share resources with the nodes A-N from which it had received the resources. The resources shared and received by the nodes A-N in the network 102 may be measured based on certain parameters.

COMPUTATIONAL RESOURCE NETWORK 100

[0023] Referring to the figures, and more particularly to FIG. 1A a computational resource network 100 is provided. The computational resource network 100 may comprise a plurality of nodes A-N and a database 104. The nodes A-N may be interconnected to form a network 102. The network 102 may be in communication with the database 104 via a communication network 106.

[0024] The computational resource network 100 may be a network platform providing access to share and receive networking resources using internet based access technologies. The computational resource network 100 may be a website that can be accessed by a web browser or a mobile application accessed by access devices in the computational resource network 100.

[0025] In an embodiment, the computational resource network 100 may include a plurality of networks 102 interconnected to each other. The network 102 may be a computer network, a social network, an online social network but not limited to the mentioned network. Each network 102 may be configured to provide various means to the nodes A-N to communicate with each other. The network 102 may be configured to provide means to the nodes A-N to communicate resources with each other. There may be multiple networks 102 interacting in the computational resource network 100.

[0026] In an embodiment, the nodes A-N may be interconnected to form the network 102. The nodes A-N may be one or more computing-resources which may include hardware, software or priority service which can be further upgraded, but not limited to them. The nodes A-N may also be a rack space providing the resource, accessing the resource within the network 102. In an embodiment, the nodes A-N may be an individual entity, a group of entities, institution(s), or any such entity that may be a part of the computational resource network 100, but not limited to them. In the network 102, nodes A-N may share its own resources with or receive resources from other nodes A-N. The resources shared or received may include data files, software solutions, storage solutions, processing solutions, or any other resources that may be required by the nodes A-N within the network 102. In an embodiment, the resources shared or received within the network 102 may include services.

[0027] The communication network 106 may include a wired network, a wireless network, or a combination of wired and wireless network. For example, the communication network 106 may include local area network, wide area network, and metropolitan area network, among others. The communication network 106 may include devices supporting both wired and wireless protocols. Data in the form of electronic, electromagnetic and optical signal, among other signals may be transferred via the communication network 106. Further, the communication network 106 may be compatible with different technologies including WLAN, USB and GPS, among others. The communication network 106 may provide means for the network 102 and the database 104 to communicate with each other in the computational resource network 100.

[0028] The database 104 may be a computer server that may be used to record, store and retrieve shared resources between the nodes A-N. The database 104 may include record of each of the nodes A-N and their connection with the other nodes A-N within the network 102. The recorded information may correspond to information of each of the nodes A-N, resources communicated between each of the nodes A-N, priority of each of the nodes A-N within the network 102. Upon requests from the nodes A-N, the database 104 may communicate the recorded information corresponding to the resources to the nodes A-N within the network 102. [0029] In an embodiment, capability of each of the nodes A-N may be stored in the database 104. The capability of each of the nodes A-N may correspond to the limit to which the node A-N can receive or share the resources.

[0030] Referring to the FIG. IB a computational resource network 200 is provided. The computational resource network 200 may comprise a plurality of networks 102, 108 in communication with each other and a database 104 using the communication network 106. The nodes A-N may be interconnected to form the network 102 and the nodes O-Y may be interconnected to form the network 108.

[0031] Now different embodiments of the computational resource network 100 may be discussed in detail. [0032] In an embodiment, the database 104 of the computational resource network 100 may be configured to record information corresponding to summation of resources received from and shared with other nodes A-N within the network 102.

[0033] Referring to FIG. 2, an embodiment of the computational resource network 100 is provided. The computational resource network 100 may comprise a plurality of nodes A, B, C, D and E interconnected to each other to form a network 102A that is in communication with the database 104 using a communication network 106. The computational resource network 100 may be configured to record information corresponding to summation of resources received from and shared with the nodes A, B, C, D and E in the network 102A.

[0034] As an example, consider the node A in the network 102A. In an embodiment, the resources received by a particular node may be represented as positive and the resources shared by a particular node may be represented as negative. The node A may receive resource 100BA from the node B. The node A may share the received resource 100BA with the nodes C, D and E. The node A may share resource -40AC of the resource 100BA received, with the node C. Similarly, the node A may share resource -40AD with the node D and resource -20AE with the node E. Also, the node A may share resource -40AB back to the node B from which it may have received the resource 100BA.

[0035] The summation of the resources shared with and received by the node A with the nodes B, C, D and E may be represented as: ∑ 100B A-40AC-40AD-20AE-40AB

[0036] The information corresponding to the summation A_SUm of the resources communicated between the node A and other nodes in the network 102A may be recorded in the database 104. Likewise, the information corresponding to the summation of the resources shared with and received from each of the nodes A-N in the network 102 may be recorded against the respective nodes A-N in the database 104.

[0037] In an embodiment, the database 104 of the computational resource network 100 may further be configured to record information corresponding to the summation of resources received from or shared with a particular node within the network 102 and the identity of the particular node with which the node received or shared the resources. Referring to the FIG. 2, the node A receives resource 100BA from the node B and gives back -40AB of the resource it received from the node B, back to the node B. The summation of the resources that node A received from and shared with the node B may be represented as follows:

A_B=∑100BA-40AB

[0038] The summation A_B and the identity of node B (with which the node A has received or shared the resource with) may be stored in the database against the node A.

[0039] The summation of the resources that node A received from and shared with the node C may be represented as follows:

Ac=∑-40AC

[0040] The summation Ac and the identity of node C (with which the node A has received or shared the resource with) may be stored in the database against the node A.

[0041] The summation of the resources that node A received from and shared with the node D may be represented as follows:

A_D=∑-40AD

[0042] The summation A_D and the identity of node D (with which the node A has received or shared the resource with) may be stored in the database against the node A.

[0043] The summation of the resources that node A received from and shared with the node E may be represented as follows:

A_E=∑-20AE

[0044] The summation A_E and the identity of node E (with which the node A has received or shared the resource with) may be stored in the database against the node A.

[0045] In an embodiment, the summation of the resources received and shared by node B with node A may be represented as follows:

BA=∑40AB-100BA

[0046] The summation BA and the identity of node A (with which the node B has received or shared the resource with) may be stored in the database against the node B .

[0047] Likewise, the summation of resources received and shared individually by nodes

C, D and E with individual nodes and the identity of the individual nodes with which the nodes (C, D and E) have individually shared or received the resources, may be stored in the database 104.

[0048] In an embodiment, the information corresponding to the summation of the resources at the node A which was discussed earlier may be recorded in the database 104. This information may be viewable to each of the nodes B, C, D and E of the network 102A. Likewise, the information corresponding to each of the nodes B, C, D and E may be viewable by the node A. The nodes A, B, C, D and E in the network 102A may view the resources communicated with each other.

[0049] In an embodiment, a part of the total resources that may be received or shared within the nodes A-N of the network 102 may be stored in the database 104. This resource may be utilized by the computational resource network 100 to manage the network 102.

[0050] In another embodiment, the part of the total resources may be used to share with the nodes A-N that may not have received the resources from any other nodes A-N or may have received very less resources compared to the capability of the nodes A-N. As an example, referring to FIG. 1A, the node A may have shared the resource to node D. The capability of the node D to receive the resource may be greater than what the node A has shared with the node

D. In a scenario like this, the part of the total resources received and shared within the network 102 may be utilized to share with the node D.

[0051] In an embodiment, the information corresponding to the summation of resources received from and shared with each of other nodes A-N in the network 102 may be viewable by one or more nodes A-N in the network 102. Further, the identity of the nodes A-N with which the resources are received from and shared with each of other nodes A-N may be viewable by one or more nodes A-N in the network 102. As an example, referring to the FIG. 1, the node B may be able view the resources the node A has shared with or received from other nodes. The node A may have shared resources with the node C, D and E. The node B may be able to view the identity (i.e., the nodes C, D and E) and the resources the node A has shared with each of the nodes C, D and E. [0052] In an embodiment, the computational resource network 100 may be able to prioritise the nodes A-N within the network 102, based on the information stored in the database 104. The information may correspond to the resources received from and shared with other nodes A-N within the network 102.

[0053] In an embodiment the network 102 is configured to positively influence the priority of a node if the node has shared the resources back to the node where it obtained the resources from. That is, if a node is sharing the resources to a node other than the node it received the resources from, that node will have lesser priority when compared to the node that is sharing the resources back to the node where it received the resources from. In an embodiment, the database 104 may be configured to record the priority of the nodes. Various embodiments corresponding to prioritizing the nodes in the network 102 are discussed in detail.

[0054] Referring to the FIG. 3A, a network 102B of nodes is provided. The node A may receive resource 100BA from the node B. The node A may share the received resource 100BA with a plurality of nodes C, D and E. The resource 100BA received from the node B may be shared as -50AC with the node C. Likewise, the node A may share resource -10AD with the node D and -40AE with the node E.

[0055] Referring to the FIG. 3B, a network 102C of nodes is provided. The node A may receive resource 100BA from the node B. The node A may share the received resource 100BA with a plurality of nodes C, D and E. The resource 100BA received from the node B may be shared as -20 AC with the node C. Likewise, the node A may share resource -20 AD with the node D and -20AE with the node E. In addition to sharing the resource 100BA with the nodes C, D and E, the node A may also give back to the node B, from which it had received the resource 100BA, a resource -40AB.

[0056] The node A of the network 102B may share resource 100BA to the nodes C, D and E but may not share the resource back to the node B from which the node A may have received the resource 100BA. However, the node A of the network 102B may share resource 100BA back with the node B, from which it may have received the resource, along with sharing the resource with the nodes C, D and E. In a scenario like this, even though the summation of the resources shared at the node A of networks 102B and 102C may be same, the priority of node A of network 102C may be higher than that of the network 102B. This may be due to the node A of network 102C sharing the resources to the node it received the resources from. [0057] Referring to the FIG. 4A, a network 102D of nodes is provided. The node B may share resource 100BA to the node A. The node A may share the received resource 100BA back to the node B and to a plurality of nodes C and D.

[0058] Referring to the FIG. 4B, a network 102E of nodes is provided. The node B may share resource 100BA to the node A. The node A may share the received resource 100BA to a plurality of nodes C and D.

[0059] In an embodiment, even though the summation of resources shared at the node A of the network 102E may be higher than the summation of the resources shared at the node A of the network 102D, the priority of the node A of the network 102D may be higher than that of the node A of the network 102E. This may be due to the node A of network 102D sharing the resources back to the node B where it received the resources from.

[0060] In another embodiment, even though the node A of the network 102D is giving back the resource to the node B where it received the resource from when compared to the node A of the network 102E (where it does not give back the resource to the node B it received the resource from), the node A of the network 102E may have a higher priority when compared to the node A of the network 102D, due to the summation of the resources shared at the node A of the network 102E being more than the summation of resources shared at the node A of the network 102D.

[0061] Referring to the FIG. 5A, a network 102F of nodes is provided. Node G may receive resource 100FG from a node F. The node G may share resource 150GH to a node H. It may be noted that, the resource 150GH shared by the node G is greater than the resource 100FG received from the node F.

[0062] Referring to the FIG. 5B, a network 102G of nodes is provided. Node G may receive resource 150FG from a node F. The node G may share resource 150GH to a node H.

[0063] In an embodiment, the node G of network 102F may have higher priority as compared to the node G of the network 102G even though the resource shared at the node G of both the networks 102F and 102G are the same. This may be due to the node G of the network 102F sharing more resource than it received from the node F than the node G of the network 102G.

[0064] In an embodiment, if one of the nodes A-N is capable of sharing resources to the other nodes A-N within the network 102, but the node A-N is not sharing the resources, then the priority of the node A-N may be affected. As an example, referring to FIG. 1A, the node J may receive resources from a node I. The node I may be capable of sharing resources but the node I may not share resources to any of the nodes A-N within the network 102. This may affect the priority of the node I in the network 102. [0065] In an embodiment, the priority of a node within the computational network may be higher, if one of the nodes within the network has shared the resources with the nodes of the same network, where it obtained the resources from, than the priority of a node that may have shared the resources with the node of another network.

[0066] As an example, referring to FIG. 2, the node H in the network 102 may receive resources from the node G. In one scenario, the node H may give the resources received back to the node G, wherein the node G is within the same network 102 as that of the node H. In another scenario, the node H after receiving the resources from the node G, may share the resources with a node S in the network 108. The priority of the node H in the first scenario may be higher as compared to the priority of the node H in the second scenario. As the node H in the network 102 shares the received resources to the node G within the same network 102 whereas in the second scenario, the node H shares the received resources to the node S in the different network 108.

[0067] In an embodiment, the computational resource network 100, 200 may be configured to lower the priority of a node if the node is capable of sharing the resources with other nodes, but instead is not sharing the resources.

[0068] In another embodiment, a node may not share the resources with other nodes, when the node is capable of sharing the resources with other nodes. In a scenario like this, the computational resource network 100, 200 may be configured to not lower the priority of the node if the node is capable of providing the computational resource network 100, 200 with a validity of not being able to share the resources to other nodes.

[0069] The computational resource network 100 may measure the resources shared or received by the nodes A-N within the network 102 in accordance with parameters. In an embodiment, the predetermined parameter may be, but not limited to, the data storage solutions shared or received by the plurality of nodes A-N, or the processing solutions shared or received by the plurality of nodes A-N, software solutions shared or received by the plurality of nodes A-N, data files shared or received by the plurality of nodes A-N, among others.

[0070] In an embodiment, the computational resource network 100 may measure the resources shared or received by the plurality of nodes A-N within the network 102 based on the single parameter (parameters that were previously discussed). In another embodiment, the computational resource network 100 may measure the resources shared or received by the plurality of nodes A-N within the network 102 based on plurality of parameters.

[0071] In an embodiment, the one or more nodes A-N within the network 102 may be virtual. The virtual node may be a node that may not have a physical presence but may be implemented using network virtualization. As an example, the virtual node may be a cloud based compute resource provider which may not exist in real but may be able to communicate resources with other nodes within the network 102.

[0072] In another embodiment, the one or more nodes A-N within the network 102 may be physical. The physical node may be a node that may have a physical presence within the network 102 and may be capable of sharing and receiving resources with other nodes within the network 102. The physical nodes in data communications may include, but not limited to, host computers like routers, servers, workstations, among others.

[0073] In yet another embodiment, the network 102 of the computational resource network 100 may comprise a combination of virtual and physical nodes. [0074] In an embodiment, the one or more nodes A-N within the network 102 may become self-sufficient by receiving the services from the one or more nodes A-N within the network.

[0075] The processes described above is described as a sequence of steps, this was done solely for the sake of illustration. Accordingly, it is contemplated that some steps may be added, some steps may be omitted, the order of the steps may be re-arranged, or some steps may be performed simultaneously.

[0076] The example embodiments described herein may be implemented in an operating environment comprising software installed on a computer, in hardware, or in a combination of software and hardware.

[0077] Although embodiments have been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the system and method described herein. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense.

[0078] Many alterations and modifications of the present invention will no doubt become apparent to a person of ordinary skill in the art after having read the foregoing description. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. It is to be understood that the description above contains many specifications, these should not be construed as limiting the scope of the invention but as merely providing illustrations of some of the personally preferred embodiments of this invention.

Claims

CLAIMS I claim:

1. A computational resource network (100) comprising a plurality of nodes (A-N) and at least one database (104), wherein,

the nodes (A-N) are interconnected to form the network (102);

each of the nodes (A-N) is configured to receive resource from at least one other node (A-N) in the network (102) or share resource with at least one other node (A- N) in the network (102);

the database (104) records, for each of the nodes (A-N), information corresponding to resources received from and shared with other nodes (A-N) in the network (102); and

prioritise nodes (A-N) in the network (102) at least based on said information associated with each of the nodes (A-N) corresponding to the resources received from and shared with other nodes (A-N) in the network (102).

2. The computational resource network (100) according to the claim 1, wherein the

database (104) records, for each of the nodes (A-N), information corresponding to: summation of resources received from and shared with other nodes (A-N) in the network (102); and

identity and summation of resources received from and shared with each of other nodes (A-N) in the network (A-N).

3. The computational resource network (100) according to the claim 2, wherein the

information corresponding to said summation of resources received from and shared with other nodes (A-N) in the network (102), is viewable by one or more nodes (A-N) in the network (102).

4. The computational resource network (100) according to the claim 2, wherein the

information corresponding to said identity and summation of resources received from and shared with each of other nodes (A-N) in the network (102), is viewable by one or more nodes (A-N) in the network (102). The computational resource network (100) according to the claim 1, wherein the network (102) is configured to positively influence priority of a node (A-N), if said node (A-N) has shared resources with another node (A-N) from which said node has received resources.

The computational resource network (100) according to the claim 1, wherein the resources shared or received within the network (102) is measurable in accordance with a single parameter.

The computational resource network (100) according to the claim 1, wherein the resources shared or received within the network (102) is measurable in accordance with a plurality of parameters.

The computational resource network (100) according to the claim 1, wherein one or more nodes (A-N) of the network (102) is virtual.

The computational resource network (100) according to the claim 1, wherein one or more nodes (A-N) of the network (102) is a physical entity.

The computational resource network (100) according to the claim 1, wherein network (102) comprises a combination of virtual and physical nodes.