CN104580440A - Product collaborative development system and method adopting optimum distribution of resources - Google Patents
Product collaborative development system and method adopting optimum distribution of resources Download PDFInfo
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- CN104580440A CN104580440A CN201410842355.5A CN201410842355A CN104580440A CN 104580440 A CN104580440 A CN 104580440A CN 201410842355 A CN201410842355 A CN 201410842355A CN 104580440 A CN104580440 A CN 104580440A
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- application server
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
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- Computer Networks & Wireless Communication (AREA)
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- Computer Hardware Design (AREA)
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- General Engineering & Computer Science (AREA)
- Computer And Data Communications (AREA)
Abstract
The invention relates to the technical field of a network, in particular to a product collaborative development system and method which adopt optimum distribution of resources and are safe, reliable, rapid in response and good in expansibility. The system is provided at least two computing modes and at least one application server, wherein the computing modes are connected with the application server through a network; the system is characterized in that the computing nodes are provided with CPU resource consumption rate computing units; the application server is provided with a resource consumption ranking unit and a resource selection unit. Compared with the prior art, the system has the advantages that the calculated amount is reasonable, the optimal configuration of storage resources and data processing resources in the network can be accomplished, the structure is simple, and the operation is convenient, safe and reliable.
Description
Technical field:
The present invention relates to networking technology area, specifically a kind of safe and reliable, be swift in response, the product collaborative development system and method being beneficial to most optimum distribution of resources of favorable expandability.
Background technology:
In the performance history of large-scale application software project, electric design automation, compiling or the comprehensive higher calculation resources of needs and working time usually, if cloud platform can be given by this part loaded down with trivial details task consuming time come, even if so use the portable equipments such as hand-written smart mobile phone, palm PC also can carry out research and development of products, eliminate the trouble carrying with computer, reduce personal device configuration needs, pooling of resources reduces the waste of personal resource simultaneously.
Cloud computing is a kind of IT infrastructure, refer to by network with as required, the mode of easily expansion obtains resource requirement, the core concept of cloud computing is by a large amount of computer resource unified management of connecting with network and scheduling, form a computational resource pond, then need to provide service to user according to user, there is provided the network of resource to be called as " cloud ", the resource in " cloud " can infinite expanding In the view of user, and can obtain at any time, uses as required, pays by use.Cloud computing is the product that the traditional computers such as grid computing, Distributed Calculation, parallel computation, effectiveness calculating, the network storage, virtual, load balancing and network technical development merge, in fact many cloud computing deployments depend on computer cluster, but far from each other with the composition of grid, architecture, object, working method, also absorb the feature that self-service calculating and effectiveness calculate.Cloud computing is more and more paid attention to its superiority, but how to optimize allocation of resources, and is the primary problem solved.
Summary of the invention:
The present invention is directed to prior art Problems existing, propose a kind of safe and reliable, be swift in response, the product collaborative development system and method being beneficial to most optimum distribution of resources of favorable expandability.
The present invention is reached by following measures:
A kind of product collaborative development system being beneficial to most optimum distribution of resources, be provided with at least two computing nodes and at least one application server, computing node is connected through network with application server, it is characterized in that computing node is provided with cpu resource occupancy computing unit, application server is provided with resource occupation sequencing unit, resource selection unit.
Computing node of the present invention is also provided with local data ciphering unit, and application server correspondence is provided with Key generating unit, decryption unit.
The invention allows for a kind of product collaborative development method being beneficial to most optimum distribution of resources, it is characterized in that comprising the following steps:
Step 1: subscriber computer sends session request to application server;
Step 2: application server receives this request by listening port, agrees to session and creates session connection;
Step 3: application server calls Key generating unit for user and creates data encryption key, and the encryption spatial parameter of preset subscriber computer is loaded by spaceencoding function, after the key version information of encryption application server current use and timestamp, key and enciphered message are sent to subscriber computer;
Step 4: subscriber computer is decrypted after obtaining the information that returns of application server, and treat communication data according to data decryption and be encrypted escape generating ciphertext;
Step 5: the ciphertext of generation is uploaded to application server by data upload unit by subscriber computer, application server receives the data uploaded and is stored in corresponding encryption space;
Step 6: application server processes the data be stored in corresponding encryption space, and be dispensed to corresponding computing node according to the demand of subscriber computer and carry out data processing.
Before application server creates encryption space in step 3 of the present invention, first need to calculate storage resources occupancy in current network, obtain idle storage space, and create the close encryption space of capacity according to size of data to be stored.
In step 6 of the present invention, the data in encryption space to be dispensed to before corresponding computing node carries out data processing according to the demand of subscriber computer by application server, obtain available computing node, obtaining available computing node adopts the method for the cpu resource occupancy calculating computing node in current network to obtain, after obtaining the cpu resource occupancy of computing node in current network, sort according to occupancy is high/low, select next step data processing of carrying out that occupancy is minimum.
In current network of the present invention, the cpu resource occupancy of computing node is obtained by following steps:
Step (1): choose task to be calculated;
Step (2): formulate sampling period T;
Step (3): obtain selected task accumulative time span t taking current computing node CPU in sampling period T described in step (2) in step (1);
Step (4): at the end of the sampling period, the CPU usage of calculation procedure (1) described task is that in the sampling period, described task adds up to take the time span t of CPU divided by described sampling T.T..
Compared with prior art, calculated amount is reasonable in the present invention, can complete distributing rationally of storage resources and data processing resources in network, have the significant advantages such as structure is simple, esy to use, safe and reliable.
Accompanying drawing illustrates:
Accompanying drawing 1 is structured flowchart of the present invention.
Reference numeral: computing node 1, application server 2, cpu resource occupancy computing unit 3, resource occupation sequencing unit 4, resource selection unit 5, local data ciphering unit 6, Key generating unit 7, decryption unit 8.
Embodiment:
Below in conjunction with accompanying drawing, the present invention is further illustrated.
The present invention proposes a kind of product collaborative development method being beneficial to most optimum distribution of resources, it is characterized in that comprising the following steps:
Step 1: subscriber computer sends session request to application server;
Step 2: application server receives this request by listening port, agrees to session and creates session connection;
Step 3: application server calls Key generating unit for user and creates data encryption key, and the encryption spatial parameter of preset subscriber computer is loaded by spaceencoding function, after the key version information of encryption application server current use and timestamp, key and enciphered message are sent to subscriber computer;
Step 4: subscriber computer is decrypted after obtaining the information that returns of application server, and treat communication data according to data decryption and be encrypted escape generating ciphertext;
Step 5: the ciphertext of generation is uploaded to application server by data upload unit by subscriber computer, application server receives the data uploaded and is stored in corresponding encryption space;
Step 6: application server processes the data be stored in corresponding encryption space, and be dispensed to corresponding computing node according to the demand of subscriber computer and carry out data processing.
Before application server creates encryption space in step 3 of the present invention, first need to calculate storage resources occupancy in current network, obtain idle storage space, and create the close encryption space of capacity according to size of data to be stored.
In step 6 of the present invention, the data in encryption space to be dispensed to before corresponding computing node carries out data processing according to the demand of subscriber computer by application server, obtain available computing node, obtaining available computing node adopts the method for the cpu resource occupancy calculating computing node in current network to obtain, after obtaining the cpu resource occupancy of computing node in current network, sort according to occupancy is high/low, select next step data processing of carrying out that occupancy is minimum.
In current network of the present invention, the cpu resource occupancy of computing node is obtained by following steps:
Step (1): choose task to be calculated;
Step (2): formulate sampling period T;
Step (3): obtain selected task accumulative time span t taking current computing node CPU in sampling period T described in step (2) in step (1);
Step (4): at the end of the sampling period, the CPU usage of calculation procedure (1) described task is that in the sampling period, described task adds up to take the time span t of CPU divided by described sampling T.T..
The invention allows for a kind of product collaborative development system being beneficial to most optimum distribution of resources, be provided with at least two computing nodes 1 and at least one application server 2, computing node 1 is connected through network with application server 2, it is characterized in that computing node 1 is provided with cpu resource occupancy computing unit 3, application server 2 is provided with resource occupation sequencing unit 4, resource selection unit 5.
Computing node 1 of the present invention is also provided with local data ciphering unit 6, and application server 2 correspondence is provided with Key generating unit 7, decryption unit 8.
Compared with prior art, calculated amount is reasonable in the present invention, can complete distributing rationally of storage resources and data processing resources in network, have the significant advantages such as structure is simple, esy to use, safe and reliable.
Claims (6)
1. be beneficial to a product collaborative development method for most optimum distribution of resources, it is characterized in that comprising the following steps:
Step 1: subscriber computer sends session request to application server;
Step 2: application server receives this request by listening port, agrees to session and creates session connection;
Step 3: application server calls Key generating unit for user and creates data encryption key, and the encryption spatial parameter of preset subscriber computer is loaded by spaceencoding function, after the key version information of encryption application server current use and timestamp, key and enciphered message are sent to subscriber computer;
Step 4: subscriber computer is decrypted after obtaining the information that returns of application server, and treat communication data according to data decryption and be encrypted escape generating ciphertext;
Step 5: the ciphertext of generation is uploaded to application server by data upload unit by subscriber computer, application server receives the data uploaded and is stored in corresponding encryption space;
Step 6: application server processes the data be stored in corresponding encryption space, and be dispensed to corresponding computing node according to the demand of subscriber computer and carry out data processing.
2. a kind of product collaborative development method being beneficial to most optimum distribution of resources according to claim 1, before it is characterized in that in described step 3 that application server creates encryption space, first need to calculate storage resources occupancy in current network, obtain idle storage space, and create the close encryption space of capacity according to size of data to be stored.
3. a kind of product collaborative development method being beneficial to most optimum distribution of resources according to claim 1, it is characterized in that the data in encryption space to be dispensed to before corresponding computing node carries out data processing according to the demand of subscriber computer by application server in described step 6, obtain available computing node, obtaining available computing node adopts the method for the cpu resource occupancy calculating computing node in current network to obtain, after obtaining the cpu resource occupancy of computing node in current network, sort according to occupancy is high/low, select next step data processing of carrying out that occupancy is minimum.
4. a kind of product collaborative development method being beneficial to most optimum distribution of resources according to claim 1, is characterized in that the cpu resource occupancy of computing node in described current network is obtained by following steps:
Step (1): choose task to be calculated;
Step (2): formulate sampling period T;
Step (3): obtain selected task accumulative time span t taking current computing node CPU in sampling period T described in step (2) in step (1);
Step (4): at the end of the sampling period, the CPU usage of calculation procedure (1) described task is that in the sampling period, described task adds up to take the time span t of CPU divided by described sampling T.T..
5. one kind is beneficial to the product collaborative development system of most optimum distribution of resources, be provided with at least two computing nodes and at least one application server, computing node is connected through network with application server, it is characterized in that computing node is provided with cpu resource occupancy computing unit, application server is provided with resource occupation sequencing unit, resource selection unit.
6. a kind of product collaborative development system being beneficial to most optimum distribution of resources according to claim 5, it is characterized in that described computing node is also provided with local data ciphering unit, application server correspondence is provided with Key generating unit, decryption unit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410842355.5A CN104580440A (en) | 2014-12-29 | 2014-12-29 | Product collaborative development system and method adopting optimum distribution of resources |
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| CN201410842355.5A CN104580440A (en) | 2014-12-29 | 2014-12-29 | Product collaborative development system and method adopting optimum distribution of resources |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114301987A (en) * | 2022-03-07 | 2022-04-08 | 天津市城市规划设计研究总院有限公司 | Dynamic scheduling method and system for virtualized network resources |
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| CN104065669A (en) * | 2014-07-08 | 2014-09-24 | 浪潮(山东)电子信息有限公司 | Method for encrypting spatial network |
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2014
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| US20080198925A1 (en) * | 2007-02-20 | 2008-08-21 | Pixar | Home-video digital-master package |
| CN102238143A (en) * | 2010-04-30 | 2011-11-09 | 鸿富锦精密工业（深圳）有限公司 | Master server and method for decoding multimedia data by using same |
| CN102232282A (en) * | 2010-10-29 | 2011-11-02 | 华为技术有限公司 | Method and apparatus for realizing load balance of resources in data center |
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| CN104065669A (en) * | 2014-07-08 | 2014-09-24 | 浪潮(山东)电子信息有限公司 | Method for encrypting spatial network |
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| CN114301987A (en) * | 2022-03-07 | 2022-04-08 | 天津市城市规划设计研究总院有限公司 | Dynamic scheduling method and system for virtualized network resources |
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Application publication date: 20150429 |