Workflow missions are utilized to counter threats such as criminal and terrorist activity. A workflow mission includes multiple instances of an application or types of applications working towards a common set of goals. In a typical workflow mission a collection of sensors, often of different types, provides raw data to computing resources. The computing resources process the raw data to produce a result which is more useful to human beings or other applications. Unless the sensors have large memory capacity to store data, and the raw data is manually retrieved, a communication network transports data and commands between devices.
Allocation of network resources to support workflow mission is a complex, manual process that requires technical expertise. The process is similar to network planning in the telecommunications field, where subject matter experts determine resource requirements and plan an appropriate deployment of those resources by mental estimate, manual calculation, or a combination of both. However, unlike planning a telecommunications network, planning a workflow mission may be acutely time-constrained, have greater risks associated with failure, and be in competition with other missions for scarce resource. Further complicating matters, a workflow mission is more likely to be subjected to dynamically changing conditions and requirements due to, for example, reduced offered load due to moisture, smoke, interference temperature, and jamming. A failure in resource allocation planning or a failure to adapt to changing conditions during a mission can manifest itself as missed targets resulting in cascading of risks, poor reaction to a mission's evolving circumstances, under- or mis-utilization of key resources, and performance degradation or partial failures which go unnoticed until a more complete failure occurs.
In accordance with one embodiment of the invention, apparatus for facilitating adaptation of at least one software-controllable communications network comprises: a translation module operative to translate at least one mission goal statement to a policy statement; a controller operative in response to the policy statement to configure the software-controllable network; a first workflow-locked loop between the translation module and the controller for processing mission level exceptions; and a second workflow-locked loop between the controller and the software-controllable network for processing network level exceptions.
In accordance with another embodiment of the invention, a method for facilitating adaptation of at least one software-controllable communications network comprises the steps of: translating, with a translation module, at least one mission goal statement to a policy statement; in response to the policy statement, configuring the software-controllable network with a controller; processing mission level exceptions via a first workflow-locked loop between the translation module and the controller; and processing network level exceptions via a second workflow-locked loop between the controller and the software-controllable network.
A first, upper workflow-locked loop (106) is operative to handle mission level exceptions. The controllers (102) communicate with one another in order to coordinate responses to changing conditions. For example, during the planning stage a new or modified mission goal statement may be provided to the goal to service translation module. Similarly, after a mission has commenced there may be need to update the mission goal statement, e.g., a recognition that the number of anticipated targets or value of the targets is significantly different than originally anticipated. In response to a new mission goal statement (110), the goal to service translation module (100) produces an updated policy statement or statements (112). The updated policy statement may be pushed to the controllers, or provided in response to request. Since the updated policy statement may not directly affect all of the missions or portions thereof, the updated policy statement may also be selectively transmitted to only those controllers that are directly affected, or controllers that are not directly affected may take no initial response to the updated policy statement. In the case where the updated policy statement is provided in response to request, the loop is workflow-locked because only those portions of the updated policy statement which affect a particular workflow are requested and provided.
In another scenario, the subset of controllers that are affected by policy statement update may determine that their software-controlled network is unable to be dynamically updated in a manner which enables compliance with the updated policy statement. In that case, the subset of controllers broadcast an indication of the resource difficulty to the other controllers to prompt a tender bid process as described in U.S. patent application Ser. No. 11/469,404, entitled TIME-VALUE CURVES TO PROVIDE DYNAMIC QOS FOR TIME SENSITIVE FILE TRANSFERS, by Franco Travostino, Bruce Schoefield, and Inder Monga, filed contemporaneously with this application, which is incorporated by reference. The goal to service translation module may be employed to arbitrate the tender bid process by issuing further updated policy statements, e.g., to reallocate resources from one controller to another based on priority. The first workflow-locked loop (106) is comprised of the communications between at least one of the coordinated controllers and the goal to service translation module that facilitate dynamic reallocation of network resources based on mission level exceptions, accomplished by updating the policy statement in response to information from the controllers.
A series of second, lower workflow-locked loops (1081 through 108n), one for each mission or mission segment, is employed to dynamically adapt to changes in the field. The lower loops (108) deal with network level exceptions such as faults, fades, and changing conditions, as well as mission-related data feedback to the controller, e.g., location information, to adjust network priority, policies, and network resource allocation to meet changing conditions while meeting mission goals. Each controller prompts its software-controlled network to provide information regarding changing network conditions related to the workflow being supported. For example, network congestion and outright failures of links and nodes that upset the workflow of the software-controlled network are reported back to the controller via the workflow-locked loop. Similarly, an unexpectedly large or small number or frequency of targets may be reported. The software-controlled network may also report what remedial actions will be taken, if any. Some aspects of the software-controlled network may be protected by backup resources in the network itself, e.g., protection switching, protection links, backup cards. The controller is operative to filter the reports from the software-controlled network such that problems that will not have a deleterious affect on the mission relative to a predetermined threshold, e.g., in units of time or dropped data. The remaining reports of changes in the software-controlled network are reported from the controller to the goal to service translation module so that the policy statements may be updated. For example, a loss of resources dedicated to a relatively high value mission in one software-controlled network can be lead to an updated policy statement that causes reallocation of resources from a relatively lower value mission in another software-controlled network.
In view of the description above it will be appreciated by those skilled in the art that the inventive concept generally provides a closed loop system for enhanced adaptive network capabilities in support of workflow missions, including a coordinated approach that reallocates resources between missions. It should also be appreciated that the different workflow-locked loops may have different sample rates and response times. In one embodiment the second, lower workflow-locked loops have a slower sample rate than an anticipated network element response to faults.
While the invention is described through the above exemplary embodiments, it will be understood by those of ordinary skill in the art that modification to and variation of the illustrated embodiments may be made without departing from the inventive concepts herein disclosed. Moreover, while the preferred embodiments are described in connection with various illustrative structures, one skilled in the art will recognize that the system may be embodied using a variety of specific structures. Accordingly, the invention should not be viewed as limited except by the scope and spirit of the appended claims.
A claim of priority is made to U.S. Provisional Patent Application 60/721,757, filed Sep. 29, 2005, entitled MISSION-GRADE WORKFLOWS, which is incorporated herein by reference.
The U.S. Government has a paid-up license in this invention and the right in limited circumstances to require the patent owner to license others on reasonable terms as provided for by the terms of contract No. HR0011-05-c-0120 awarded by DARPA/CMO.
Number | Name | Date | Kind |
---|---|---|---|
5889953 | Thebaut et al. | Mar 1999 | A |
6212649 | Yalowitz et al. | Apr 2001 | B1 |
6446123 | Ballantine et al. | Sep 2002 | B1 |
6542075 | Barker et al. | Apr 2003 | B2 |
6578076 | Putzolu | Jun 2003 | B1 |
6694362 | Secor et al. | Feb 2004 | B1 |
6720990 | Walker et al. | Apr 2004 | B1 |
6771661 | Chawla et al. | Aug 2004 | B1 |
6856942 | Garnett et al. | Feb 2005 | B2 |
6909695 | Lee et al. | Jun 2005 | B2 |
6912574 | Scifres et al. | Jun 2005 | B2 |
6990518 | Secer | Jan 2006 | B1 |
7055052 | Chalasani et al. | May 2006 | B2 |
7058712 | Vasko et al. | Jun 2006 | B1 |
7113990 | Scifres et al. | Sep 2006 | B2 |
7194445 | Chan et al. | Mar 2007 | B2 |
7210073 | Landwehr et al. | Apr 2007 | B1 |
7228429 | Monroe | Jun 2007 | B2 |
7260743 | Fellenstein et al. | Aug 2007 | B2 |
7340654 | Bigagli et al. | Mar 2008 | B2 |
7363195 | Yetter et al. | Apr 2008 | B2 |
7490095 | Labadie et al. | Feb 2009 | B2 |
7502854 | Luo et al. | Mar 2009 | B2 |
7525421 | Levesque et al. | Apr 2009 | B2 |
7526541 | Roese et al. | Apr 2009 | B2 |
7539739 | Murakami et al. | May 2009 | B2 |
7555528 | Rezvani et al. | Jun 2009 | B2 |
7617304 | Devarakonda et al. | Nov 2009 | B2 |
7634361 | Levesque et al. | Dec 2009 | B2 |
7636919 | Choudhary et al. | Dec 2009 | B2 |
7644006 | Casati et al. | Jan 2010 | B2 |
7739372 | Roese et al. | Jun 2010 | B2 |
7752287 | Routray et al. | Jul 2010 | B2 |
7788534 | Akiyama et al. | Aug 2010 | B2 |
7814404 | Shenfield | Oct 2010 | B2 |
7840856 | Apte et al. | Nov 2010 | B2 |
7840857 | Breiter et al. | Nov 2010 | B2 |
7843822 | Paul et al. | Nov 2010 | B1 |
7859396 | Monroe | Dec 2010 | B2 |
7996353 | Chan et al. | Aug 2011 | B2 |
8055607 | Chan et al. | Nov 2011 | B2 |
8279874 | Lu et al. | Oct 2012 | B1 |
8296412 | Secor et al. | Oct 2012 | B2 |
20020178252 | Balabhadrapatruni et al. | Nov 2002 | A1 |
20030115204 | Greenblatt et al. | Jun 2003 | A1 |
20030225905 | Scifres et al. | Dec 2003 | A1 |
20030235158 | Lee et al. | Dec 2003 | A1 |
20030236689 | Casati et al. | Dec 2003 | A1 |
20040015599 | Trinh et al. | Jan 2004 | A1 |
20040059966 | Chan et al. | Mar 2004 | A1 |
20040103195 | Chalasani et al. | May 2004 | A1 |
20040103339 | Chalasani et al. | May 2004 | A1 |
20040122950 | Morgan et al. | Jun 2004 | A1 |
20040131226 | Poolla | Jul 2004 | A1 |
20040236845 | Murakami et al. | Nov 2004 | A1 |
20040243692 | Arnold et al. | Dec 2004 | A1 |
20040243699 | Koclanes et al. | Dec 2004 | A1 |
20040267865 | Cuervo | Dec 2004 | A1 |
20050027837 | Roese et al. | Feb 2005 | A1 |
20050027845 | Secor et al. | Feb 2005 | A1 |
20050091356 | Izzo | Apr 2005 | A1 |
20060048142 | Roese et al. | Mar 2006 | A1 |
20060075093 | Frattura et al. | Apr 2006 | A1 |
20060092861 | Corday et al. | May 2006 | A1 |
20060117113 | Elliott et al. | Jun 2006 | A1 |
20060236061 | Koclanes | Oct 2006 | A1 |
20070067452 | Fung et al. | Mar 2007 | A1 |
20070106541 | Raisanen | May 2007 | A1 |
20070131822 | Stallard | Jun 2007 | A1 |
20070150565 | Ayyagari et al. | Jun 2007 | A1 |
20070268516 | Bugwadia et al. | Nov 2007 | A1 |
20080034080 | Chamaraj et al. | Feb 2008 | A1 |
20080133982 | Rawlins et al. | Jun 2008 | A1 |
20100023604 | Verma et al. | Jan 2010 | A1 |
20100094981 | Cordray et al. | Apr 2010 | A1 |
Number | Date | Country |
---|---|---|
WO 03036899 | May 2003 | WO |
Entry |
---|
Camorlinga, et al., Modeling of Workflow-Engaged Networks on Radiology Transfers Across a Metro Network, IEEE Transactions on Information Technology in Biomedicine, vol. 10, No. 2, Apr. 2006. pp. 275-281. |
Lavian, et al., DWDM-RAM: A Data Intensive Gird Service Architecture Enabled by Dynamic Optical Networks, 2004 IEEE International Symposium on Cluster Computing and the Grid, pp. 762-764. |
Lavian, et al., An Extensible, Programmable, Commercial-Grade Platform for Internet Service Architecture, IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews, vol. 34, No. 1, Feb. 2004, pp. 58-68. |
Hollingsworth, Workflow Management Coalition, The Workflow Reference Model, Jan. 19, 1995, pp. 1-68. |
The Workflow Management Coalition, Workflow Management Coalition Workflow Standard Workflow Process Definition, Oct. 25, 2002, Version 1.0, pp. 1-114. |
Hayes, et al., Workflow Interoperabiltiy Standards for the Internet, IEEE Internet Computing, May. Jun. 2000, pp. 37-45. |
Hagen, et al., Exception Handling in Workflow Management Systems, IEEE Transactions on Software Engineering, vol. 26, No. 10, Oct. 2000, pp. 943-958. |
Cao, et al., GridFlow: Workflow Management for Grid Computing, Proceedings of the 3rd IEEE/ACM Internation Symposium on Cluster Computing and the Grid, 2003, pp. 1-8. |
Deelman, et al., Mapping Abstract Complex Workflows onto Grid Environments, Journal of Grid Computing, 2003, pp. 25-39. |
Simeonidou, et al., Optical Network Infrastructure for Grid, Global Grid Forum 2002, pp. 1-55. |
Von Laszewski, et al., GridAnt: A Client-Controllable Grid Workflow System., Argonne National Laboratory Preprint ANL/MCS-P1098-1003, Jan. 2004, pp. 1-10. |
Arnaud, et al., Customer Controlled and Managed Optical Networks, Jan. 15, 2003, pp. 1-11. |
Mambretti , et al., The Photonic TeraStream: enabling next generation applications through intelligent optical networking at iGRID2002, Elsevier Science B.V, 2003, pp. 897-908. |
Number | Date | Country | |
---|---|---|---|
20080034069 A1 | Feb 2008 | US |
Number | Date | Country | |
---|---|---|---|
60721757 | Sep 2005 | US |