CN109062694B - Method for migrating application program to cloud platform - Google Patents
Method for migrating application program to cloud platform Download PDFInfo
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- CN109062694B CN109062694B CN201810858019.8A CN201810858019A CN109062694B CN 109062694 B CN109062694 B CN 109062694B CN 201810858019 A CN201810858019 A CN 201810858019A CN 109062694 B CN109062694 B CN 109062694B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
- G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
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Abstract
The invention discloses a method for migrating an application program to a cloud platform, which comprises the following steps: executing a cloud migration application discovery tool on at least one or more computers being used by an application, obtaining a plurality of user-defined objectives for application cloud migration, and filtering a set of predetermined cloud risk probability categories based on the user-defined objectives; determining, by a scoring engine, respective weights on separate computers to associate with each set of predetermined cloud risk probability categories for each application to be evaluated for migration to the cloud; generating a cloud risk probability score by the weight; and determining a respective application accessory score for each application in the application inventory data based on the generated cloud risk probability score and the historical application cloud migration data.
Description
Technical Field
The invention relates to the technical field of data migration, in particular to a method for migrating an application program to a cloud platform.
Background
Mass data storage with high reliability and expandability is a great challenge for internet companies, the traditional database is often difficult to meet the requirement, most of the retrieval of a specific system is based on the query of a main key, and the use of the relational database in the condition causes low efficiency and the expansion becomes a great problem in the future. In such a case, using storage would be a good choice. For a storage system deployed in a cloud environment, data migration is a key technology for realizing dynamic node expansion and elastic load balancing, and mainly includes core contents of migration plan (migrationlan) formulation, routing information synchronization, user request forwarding, data consistency management and the like. A large amount of state synchronization accompanied in the data migration process may bring certain influence on system performance, and therefore, how to effectively reduce the migration overhead is a problem that cloud service providers need to address. However, the statefulness of storage systems, new virtualization environments, stringent low latency requirements of users, and unpredictability and temporal variability of access loads present new challenges to data migration.
In order to solve the problems of time and system resource consumption of data migration, the existing algorithms have the following methods: 1) aiming at the problem of QoS guarantee in the process of storage service data migration, authors propose a method based on feedback control, periodically solving the optimal migration rate satisfying QoS constraints, and mainly focusing on the control problem of migration bandwidth. 2) A data migration strategy based on a greedy method mainly aims at the data migration problem of a Key/Value storage system, and the basic idea is that a statistical method is adopted to monitor hot partitions on line, partial data of the hot partitions are preferentially migrated to neighbor nodes with lighter loads, and in order to simplify the complexity of migration operation, a Hash algorithm can keep the precedence order between Key values.
For a cloud storage system, data migration is a key technology for realizing node dynamic expansion and elastic load balancing. How to reduce the system overhead is the problem that the cloud service provider needs to be focused on solving
Disclosure of Invention
The invention provides a method for migrating an application program to a cloud platform, which comprises the following steps:
executing a cloud migration application discovery tool on at least one or more computers being used by an application, wherein the cloud migration application discovery tool is configured by a first program to capture application inventory data associated with the application and store the captured application inventory data in an evaluation database;
analyzing, on a separate computer unused by the application, a plurality of user-defined goals for application cloud migration obtained via a user interface and filtering a set of predetermined cloud risk probability categories based on the user-defined goals;
determining, by a scoring engine, respective weights on separate computers to associate with each set of predetermined cloud risk probability categories for each application to be evaluated for migration to the cloud;
generating a cloud risk probability score by applying the determined weights for each set of predetermined cloud risk probability categories included in the application manifest data; and
determining a respective application accessory score for each application in the application inventory data based on the generated cloud risk probability score and the historical application cloud migration data.
The method of (a), further comprising defining, on the separate computer, at least one rule for a cloud code analysis tool based on the plurality of user-defined goals for applying cloud migration; and
executing a cloud code analysis tool on a separate computer to determine any inconsistencies of cloud migration for each application based on at least one rule.
The method of executing the cloud code analysis tool further comprises determining a time required to resolve the inconsistency of the cloud migration for each application based on the at least one rule.
The method of executing the cloud code analysis tool further comprises correcting inconsistencies of cloud migration for each application based on the at least one rule.
The method further includes receiving non-functional requirements of the application based on the application manifest data and/or any other application that performs cloud migration via the user interface
The method of (a) further comprising capturing any commercial off-the-shelf applications not discovered by the first program.
The method further includes storing the captured commercial off-the-shelf application in an evaluation database.
The method of (a), further comprising receiving at least one cloud reference architecture based at least on the plurality of user-defined goals for application cloud migration and/or the set of predetermined cloud risk probability categories.
The method of (a), further comprising receiving a key success criterion based at least on the set of predetermined cloud risk probability categories and/or a plurality of user-defined goals for application cloud migration.
The method further includes determining a current operating environment of the application.
The beneficial technical effects obtained by the invention are as follows: the existing mobile terminal or computer equipment can be migrated to the cloud platform for data backup, dependence on hardware equipment is reduced, storage space of the hardware equipment is relieved, and data loss caused by damage of the hardware equipment is prevented. Meanwhile, data can be conveniently checked through the cloud platform at any time.
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The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. In the drawings, like reference numerals designate corresponding parts throughout the different views.
FIG. 1 is a schematic diagram of the method for migrating an application to a cloud platform according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to embodiments thereof; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Other systems, methods, and/or features of the present embodiments will become apparent to those skilled in the art upon review of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the detailed description that follows.
As shown in fig. 1, a method for migrating an application to a cloud platform is provided for the present invention, and the method includes the following steps:
executing a cloud migration application discovery tool on at least one or more computers being used by an application, wherein the cloud migration application discovery tool is configured by a first program to capture application inventory data associated with the application and store the captured application inventory data in an evaluation database;
analyzing, on a separate computer unused by the application, a plurality of user-defined goals for application cloud migration obtained via a user interface and filtering a set of predetermined cloud risk probability categories based on the user-defined goals;
determining, by a scoring engine, respective weights on separate computers to associate with each set of predetermined cloud risk probability categories for each application to be evaluated for migration to the cloud;
generating a cloud risk probability score by applying the determined weights for each set of predetermined cloud risk probability categories included in the application manifest data; and
determining a respective application accessory score for each application in the application inventory data based on the generated cloud risk probability score and the historical application cloud migration data.
The method of (a), further comprising defining, on the separate computer, at least one rule for a cloud code analysis tool based on the plurality of user-defined goals for applying cloud migration; and
executing a cloud code analysis tool on a separate computer to determine any inconsistencies of cloud migration for each application based on at least one rule.
The method of executing the cloud code analysis tool further comprises determining a time required to resolve the inconsistency of the cloud migration for each application based on the at least one rule.
The method of executing the cloud code analysis tool further comprises correcting inconsistencies of cloud migration for each application based on the at least one rule.
The method further includes receiving non-functional requirements of the application based on the application manifest data and/or any other application that performs cloud migration via the user interface
The method of (a) further comprising capturing any commercial off-the-shelf applications not discovered by the first program.
The method further includes storing the captured commercial off-the-shelf application in an evaluation database.
The method of (a), further comprising receiving at least one cloud reference architecture based at least on the plurality of user-defined goals for application cloud migration and/or the set of predetermined cloud risk probability categories.
The method of (a), further comprising receiving a key success criterion based at least on the set of predetermined cloud risk probability categories and/or a plurality of user-defined goals for application cloud migration.
The method further includes determining a current operating environment of the application.
The beneficial technical effects obtained by the invention are as follows: the existing mobile terminal or computer equipment can be migrated to the cloud platform for data backup, dependence on hardware equipment is reduced, storage space of the hardware equipment is relieved, and data loss caused by damage of the hardware equipment is prevented. Meanwhile, data can be conveniently checked through the cloud platform at any time.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. It is therefore intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is the following claims, including all equivalents, that are intended to define the spirit and scope of this invention. The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (1)
1. A method of migrating an application to a cloud platform, the method comprising the steps of:
executing a cloud migration application discovery tool on at least one or more computers being used by an application, wherein the cloud migration application discovery tool is configured by a first program to capture application inventory data associated with the application and store the captured application inventory data in an evaluation database;
analyzing, on a separate computer unused by the application, a plurality of user-defined goals for application cloud migration obtained via a user interface and filtering a set of predetermined cloud risk probability categories based on the user-defined goals;
determining, by a scoring engine, respective weights on separate computers to associate with each set of predetermined cloud risk probability categories for each application to be evaluated for migration to the cloud;
generating a cloud risk probability score by applying the determined weights for each set of predetermined cloud risk probability categories included in the application manifest data; and determining a respective application accessory score for each application in the application inventory data based on the generated cloud risk probability score and the historical application cloud migration data;
wherein further comprising defining at least one rule for a cloud code analysis tool based on the plurality of user-defined goals for application cloud migration on the separate computer; and executing a cloud code analysis tool on the separate computer to determine any inconsistencies of the cloud migration for each application based on the at least one rule;
wherein executing the cloud code analysis tool further comprises determining a time required to resolve the inconsistency of the cloud migration for each application based on the at least one rule;
wherein executing the cloud code analysis tool further comprises correcting inconsistencies of cloud migration for each application based on the at least one rule;
and the method further comprises receiving non-functional requirements of the application based on the application manifest data and/or any other application that performs cloud migration via the user interface;
wherein further comprising capturing any commercial off-the-shelf applications not discovered by the first program and storing the captured applications in an evaluation database;
and the method further comprises receiving at least one cloud reference architecture based at least on the plurality of user-defined goals for application cloud migration and/or the set of predetermined cloud risk probability categories, and further comprising receiving key success criteria based at least on the plurality of user-defined goals for application cloud migration and/or the set of predetermined cloud risk probability categories; and further comprising determining a current operating environment of the application.
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| US9680696B1 (en) * | 2016-07-18 | 2017-06-13 | Capital One Financial Corporation | Cloud migration and maintenance controls |
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