System and method for adjusting the distribution of an asset over a multi-tiered network

• US 7,430,610 B2
• Filed: 09/04/2001
• Issued: 09/30/2008
• Est. Priority Date: 09/01/2000
• Status: Expired due to Term

• Current Assignee: Op40 Holdings, Inc.
• Original Assignee: OPYO Incorporated
• Inventors: Pace, Charles P., Chen, Shuang, Pizzorni, Paolo R.
• Primary Examiner(s): Etienne; Ario
• Assistant Examiner(s): Todd; Gregory G
• Application Number:
  US09/947,095
• Publication Number:
  US 20030140111A1
• Time in Patent Office: 2,583 Days
• Field of Search: 709/220, 709/223, 709/225, 709/242, 709/248, 709/217, 709/232, 709/238, 709/233, 717/136, 717/177, 717/172, 707/10, 707/100, 719/328
• US Class Current: 709/233
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: G06F 2209/549 Remote execution
• CPC Class Codes: G06F 2216/15 Synchronised browsing
• CPC Class Codes: G06F 8/60 Software deployment
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06F 9/5088 involving task migration
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 2463/102 applying security measure for e-commerce data processing systems or methods, specially adapted for e-commerce G06Q30/00
• CPC Class Codes: H04L 63/0428 wherein the data content is protected, e.g. by encrypting or encapsulating the payload
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 63/0823 using certificates cryptographic mechanisms or cryptographic arrangements for entity authentication involving certificates H04L9/3263
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/101 Access control lists [ACL]
• CPC Class Codes: H04L 63/12 Applying verification of the received information cryptographic mechanisms or cryptographic arrangements for data integrity or data verification H04L9/32
• CPC Class Codes: H04L 63/168 above the transport layer
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1095 Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/288 Distributed intermediate devices, i.e. intermediate devices for interaction with other intermediate devices on the same level
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04L 67/564 : Enhancement of application control based on intercepted application data
• CPC Class Codes: H04L 67/565 : Conversion or adaptation of application format or content adding application control or application functional data H04L67/561
• CPC Class Codes: H04L 67/5651 : Reducing the amount or size of exchanged application data
• CPC Class Codes: H04L 67/568 : Storing data temporarily at an intermediate stage, e.g. caching
• CPC Class Codes: H04L 67/5682 : Policies or rules for updating, deleting or replacing the stored data
• CPC Class Codes: H04L 69/329 : in the application layer [OSI layer 7]
• CPC Class Codes: H04L 69/40 : for recovering from a failure of a protocol instance or entity, e.g. service redundancy protocols, protocol state redundancy or protocol service redirection management of faults, events, alarms or notifications in data switching networks H04L41/06
• CPC Class Codes: Y10S 707/99943 : Generating database or data structure, e.g. via user interface

Abstract

A system and method for adjusting the distribution of an asset over a multi-tiered network is provided. An asset may represent network and/or application components (e.g., data, objects, applications, program modules, etc.) that may be distributed among the various resources of the network. In an embodiment, a performance metric is received and input to a performance model. The model determines a network optimization and at least one change requirement based on the metric. A package specification is changed to reflect the requirement, which may specify that at least one asset should be packaged in at least one package. The change requirement is implemented and the package is distributed over the network.

Claims

1. A method for adjusting the distribution of an asset over a multi-tiered network, comprising the steps of:

receiving at least one metric;

determining a network optimization and at least one associated change requirement based on the metric and at least one model, the metric being input to the model;

changing a package specification to a changed package specification based on the change requirement, the changed package specification having at least one asset that is a component of an application;

wherein the at least one asset contains a logic/data part and an extended environment part and the at least one asset is determined by an asset boundary such that the asset boundary of at least one asset determines a changed package boundary;

packaging the changed package specification into at least one package having the changed package boundary;

implementing the change requirement;

translating the asset(s) comprising the changed package to perform one or more asset functions in at least one target base environment of at least one target computer having one or more of an operating environment, hardware or software different from a source computer associated with the asset(s); and

distributing the changed package over the multi-tiered network to the one or more target computers via a Distributed Internet Services system.

2. The method according to claim 1, wherein said receiving includes a synchronization process.

3. The method according to claim 1, wherein the metric includes at least one of:

a data transfer between a plurality of agents, a transaction per second for computational environments, a condition of a secure network connection, a number of clients per second that have been accessing a distribution server, a number of router hops between nodes, a bandwidth provisioning cost of the links between nodes, and a physical distance of at least one asset from a target node.

4. The method according to claim 1, wherein the model includes at least one of:

a load balancing model, a QoS model, a security model, a performance model, a distribution model, a routing model, and a target node location model.

5. The method according to claim 1, wherein the change requirement includes at least one of:

a re-location of at least one asset, a movement of at least one asset, a re-routing of at least one asset, a re-direction of at least one asset, a re-location of at least one computational request, a movement of at least one computational request, a re-routing of at least one computational request, a re-direction of at least one computation request, moving at least one asset to a cache, moving at least one asset closer to a target node, moving at least one asset to an alternate target environment, and a selection of an alternate computational environment in which to fulfill a request for execution.

6. The method according to claim 1, wherein the model is a load-balancing model and the metric includes at least one statistic associated with how a network node handles requests.

7. The method according to claim 1, wherein the model is a service level agreement model and the metric includes a “

quality of service”

token.

8. The method according to claim 1, wherein the model is a network routing optimization model and the metric includes at least one statistic associated with how the asset is distributed.

9. The method according to claim 1, wherein the change requirement includes changing the physical distance between at least one asset and a target network node.

10. The method according to claim 1, wherein the model is a network routing optimization model and the metric includes at least one statistic associated with how the asset is deployed.