Adapting distributed real-time and embedded pub/sub middleware for cloud computing environments

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6452 LNCS, Issue , 2010, Pages 21-41

  Hoffert, Joe ^a   Schmidt, Douglas C ^a   Gokhale, Aniruddha ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Autonomic configuration; Cloud computing; DRE systems; Pub sub middleware

Indexed keywords

AUTONOMIC CONFIGURATION; COMPUTING ENVIRONMENTS; COMPUTING PLATFORM; COMPUTING RESOURCE; DISTRIBUTED REAL-TIME AND EMBEDDED; DRE SYSTEMS; MIDDLEWARE SERVICES; NETWORK BANDWIDTH; ON-DEMAND COMPUTING; PUB/SUB; PUBLISH/SUBSCRIBE; RESOURCE CONFIGURATIONS; SUPERVISED MACHINE LEARNING; TIME COMPLEXITY; TRANSPORT PROTOCOLS; CLOUD COMPUTING ENVIRONMENTS; CLOUD COMPUTING PLATFORMS; END-TO-END QUALITY OF SERVICE;

EMBEDDED SYSTEMS; INDUSTRY; LEARNING SYSTEMS; MIDDLEWARE; QUALITY OF SERVICE; REAL TIME SYSTEMS; ARTIFICIAL INTELLIGENCE; CLOUD COMPUTING; COMPLEX NETWORKS; INFORMATION MANAGEMENT; SUPERVISED LEARNING;

CLOUD COMPUTING; DISTRIBUTED COMPUTER SYSTEMS;

EID: 79956298197     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16955-7_2     Document Type: Conference Paper

References (23)

1. Global Information Grid. The National Security Agency, www.nsa.gov/ia/industry/gig.cfm?MenuID=10.3.2.2.
2. Net-Centric Enterprise Services. Defense Information Systems Agency, http://www.disa.mil/nces/.
3. Balakrishnan, M., Birman, K., Phanishayee, A., Pleisch, S.: Ricochet: Lateral Error Correction for Time-Critical Multicast. In: NSDI 2007: Fourth Usenix Symposium on Networked Systems Design and Implementation, Boston, MA (2007).
4. Balakrishnan, M., Pleisch, S., Birman, K.: Slingshot: Time-Critical Multicast for Clustered Applications. In: The IEEE Conference on Network Computing and Applications (2005).
5. Bu, X., Rao, J., Xu, C.Z.: A Reinforcement Learning Approach to Online Web Systems Auto-configuration. In: The 29th IEEE International Conference on Distributed Computing Systems., pp. 2-11. IEEE Computer Society, Washington (2009).
6. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud Computing and Emerging IT platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems 25(6), 599-616 (2009).
7. David, P.C., Ledoux, T.: An Aspect-Oriented Approach for Developing Self-Adaptive Fractal Components. In: L̈owe, W., S̈udholt, M. (eds.) SC 2006. LNCS, vol. 4089, pp. 82-97. Springer, Heidelberg (2006). (Pubitemid 44502849)
8. Grace, P., Coulson, G., Blair, G.S., Porter, B.: Deep Middleware for the Divergent Grid. In: Alonso, G. (ed.) Middleware 2005. LNCS, vol. 3790, pp. 334-353. Springer, Heidelberg (2005). (Pubitemid 43763642)
9. Grace, P., Coulson, G., Blair, G.S., Porter, B.: A Distributed Architecture Meta-model for Self-managed Middleware. In: Proceedings of the 5th Workshop on Adaptive and Reflective Middleware (ARM 2006), p. 3. ACM, New York (2006).
10. Hoffert, J., Gokhale, A., Schmidt, D.: Evaluating Transport Protocols for Real-time Event Stream Processing Middleware and Applications. In: Proceedings of the 11th International Symposium on Distributed Objects, Middleware, and Applications (DOA 2009), Vilamoura, Algarve-Portugal (November 2009).
11. Hoffert, J., Schmidt, D.C., Gokhale, A.: Adapting and Evaluating Distributed Real-time and Embedded Systems in Dynamic Environments. In: Proceedings of the 1st InternationalWorkshop on Data Dissemination for Large scale Complex Critical Infrastructures (DD4LCCI 2010), Valencia, Spain (April 2010).
12. Ibnkahla, M., Rahman, Q., Sulyman, A., Al-Asady, H., Yuan, J., Safwat, A.: Highspeed Satellite Mobile Communications: Technologies and Challenges. Proceedings of the IEEE 92(2), 312-339 (2004).
13. Kavimandan, A., Narayanan, A., Gokhale, A., Karsai, G.: Evaluating the Correctness and Effectiveness of a Middleware QoS Configuration Process in Distributed Real-time and Embedded Systems. In: Proceedings of the 11th IEEE International Symposium on Objectoriented Real-time distributed Computing (ISORC 2008), Orlando, FL, USA, pp. 100-107 (May 2008).
14. Lin, Q., Neo, H.K., Zhang, L., Huang, G., Gay, R.: Grid-based Large-scale Web3D Collaborative Virtual Environment. In: Web3D 2007: Proceedings of the Twelfth International Conference on 3D Web Technology, pp. 123-132. ACM, New York (2007). (Pubitemid 46726112)
15. Liu, Y.: Create Stable Neural Networks by Cross-Validation. In: IJCNN 2006: Proceedings of the International Joint Conference on Neural Networks, pp. 3925-3928 (2006). (Pubitemid 351369854)
16. Menth, M., Henjes, R.: Analysis of the Message Waiting Time for the FioranoMQ JMS Server. Distributed Computing Systems. In: 26th IEEE International Conference on ICDCS 2006, pp. 1-1 (2006).
17. Nathuji, R., Kansal, A., Ghaffarkhah, A.: Q-Clouds: Managing Performance Interference Effects for QoS-Aware Clouds. In: Proceedings of EuroSys 2010, Paris, France, pp. 237- 250 (April 2010).
18. Object Management Group: Data Distribution Service for Real-time Systems Specification, 1.2 edn. (January 2007).
19. Ostermann, S., Prodan, R., Fahringer, T.: Extending Grids with Cloud Resource Management for Scientific Computing. In: 10th IEEE/ACMInternational Conference on Grid Computing, pp. 42-49 (13-15, 2009).
20. Shankaran, N., Koutsoukos, X., Lu, C., Schmidt, D.C., Xue, Y.: Hierarchical Control ofMultiple Resources in Distributed Real-time and Embedded Systems. Real-Time Systems 1(3), 237-282 (2008). (Pubitemid 351326995)
21. Tock, Y., Naaman, N., Harpaz, A., Gershinsky, G.: Hierarchical Clustering of Message Flows in a Multicast Data Dissemination System. In: Proceedings of Parallel and Distributed Computing and Systems, PDCS 2005 (November 2005).
22. Valetto, G., Goix, L.W., Delaire, G.: Towards Service Awareness and Autonomic Features in a SIP-Enabled Network. In: Autonomic Communication, pp. 202-213. Springer, Heidelberg (2006). (Pubitemid 43971572)
23. Vienne, P., Sourrouille, J.L.: A Middleware for Autonomic QoS Management Based on Learning. In: Proceedings of the 5th International Workshop on Software Engineering and Middleware, pp. 1-8. ACM, New York (2005).