Welcome to Nanyan Jiang's Homepage

[1] K. Aberer, M. Hauswirth, and A. Saleh. Zeroprogramming sensor network deployment. Next Generation Service Platforms for Future Mobile Systems (SPMS), 2007.

[2] A. Bakshi, V. K. Prasanna, J. Reich, and D. Larner. The abstract task graph: A methodology for architecture independent programming of networked sensor systems. Workshop on End-to-End, Sense-and-Respond Systems, Applications, and Services, EESR 05, 2005.

[3] M. Brown, S. Gilbert, N. Lynch, C. Newport, T. Nolte, and M. Spindel. The virtual node layer: A programming abstraction for wireless sensor networks. ACM SIGBED Review, 4(3):7-12, 2007.

[4] S. Chandrasekaran, O. Cooper, A. Deshpande, M. J. Fanklin, J. M. Hellerstein, W. Hong, S. Krishnamurthy, S. Madden, V. Raman, F. Reiss, and M. Shah. TelegraphCQ: Continuous dataflow processing for an uncertain world. In Proceedings of CIDR Conference, 2003.

[5] S. Ganeriwal, C.-C. Han, and M. Srivastava. Poster abstract: Spatial average of a continuous physical process in sensor networks. Proceedings of the First ACM Conference on Embedded Networked Sensor Systems (SenSys), 2003.

[6] D. Ganesan, S. Ratnasamy, H. Wang, and D. Estrin. Coping with irregular spatio-temporal sampling in sensor networks. 2nd Workshop on Hot Topics in Networks (HotNets-II), 2003.

[7] R. Gummadi, O. Gnawali, and R. Govindan. Macroprogramming wireless sensor networks using Kairos. Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS), pages 126-140, June 2005.

[8] N. Jiang, C. Schmidt, V. Matossian, and M. Parashar. Enabling applications in sensor-based pervasive environments In Proceedings of the 1stWorkshop on Broadband Advanced Sensor Networks (BaseNets), San Jose, CA, USA, October 2004.

[9] N. Jiang, C. Schmidt, and M. Parashar. A decentralized content-based aggregation service for pervasive environments. In International Conference of Pervasive Services (ICPS), pages 203-212, 2006.

[10] S. Kabadayi, A. Pridgen, and C. Julien. Virtual sensors: abstracting data from physical sensors. Proceedings of the 2006 International Symposium on World of Wireless, Mobile and Multimedia Networks (WoWMoM), pages 587-592, 2006.

[11] H. Klie, W. Bangerth, X. Gai, M. F. Wheeler, P. Stoffa, M. Sen, M. Parashar, U. Catalyurek, J. Saltz, and T. Kurc. Models, methods and middleware for gridenable multiphysics oil reservoir management. Engineering with Computers, 22:349-370, 2006.

[12] V. A. Kottapalli, A. S. Kiremidjiana, J. P. Lyncha, E. Carryerb, T. W. Kennyb, and K. H. L. and Y. Lei. Two-tiered wireless sensor network architecture for structural health monitoring. SPIEs 10th Annual International Symposium on Smart Structures and Materials, 2003.

[13] P. Liaskovits1 and C. Schurgers. Leveraging redundancy in sampling-interpolation applications for sensor networks. Proceedings of the third International Conference on Distributed Computing on Sensor Systems (DCOSS), pages 324-337, 2007.

[14] J. Liu, M. Chu, J. Liu, J. Reich, and F. Zhao. Statecentric programming for sensor-actuator network systems. IEEE Pervasive Computing, 2(4):50-62, 2003.

[15] L. Luo, T. F. Abdelzaher, T. He, and J. A. Stankovic. EnviroSuite: An environmentally immersive programming framework for sensor networks. ACM Transactions on Computational Logic, 5(3):543-576, 2005.

[16] S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. TinyDB: an acquisitional query processing system for sensor networks. ACM Transactions on Database System, 30(1):122-173, 2005.

[17] A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson. Wireless sensor networks for habitat monitoring. Proceedings of the 1st ACM international workshop onWireless sensor networks and applications, pages 88-97, 2002.

[18] L. Mottola and G. P. Picco. Logical neighborhoods: A programming abstraction for wireless sensor networks. Proceedings of the second International Conference on Distributed Computing on Sensor Systems (DCOSS), pages 150-168, 2006.

[19] P. M. Paolo Corsini and A. Vecchio. Virtus: a configurable layer for post-deployment adaptation of sensor networks. International Conference on Wireless and Mobile Communications, ICWMC '06, 2006.

[20] M. Parashar, V. Matossian, H. Klie, S. G. Thomas, M. F. Wheeler, T. Kurc, J. Saltz, and R. Versteeg. Towards dynamic data-driven management of the ruby golch waste repository. ICCS, 2006.

[21] C. Schmidt and M. Parashar. Flexible information discovery in decentralized distributed systems. In Proceedings of the 12th High Performance Distributed Computing (HPDC), pages 226-235. IEEE Press, June 2003.

[22] M. Sharifzadeh and C. Shahabi. Utilizing voronoi cells of location data streams for accurate computation of aggregate functions in sensor networks. GeoInformatica, 10(1):9-36, March 2006.

[23] K. Szlavecz, A. Terzis, R. Musaloiu-E., J. Cogan, S. Small, S. Ozer, R. Burns, J. Gray, and A. S. Szalay. Life under your feet: An end-to-end soil ecology sensor network, database, web server, and analysis service. MSR-TR-2006-90, 2006.

[24] M. Welsh and G. Mainland. Programming sensor networks using abstract regions. in Proceedings of the First USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04), 2004.

[25] G. Werner-Allen, K. Lorincz, M. Ruiz, O. Marcillo, J. Johnson, J. Lees, and M. Welsh. Monitoring volcanic eruptions with a wireless sensor network. Second European Workshop on Wireless Sensor Networks, 2005.

[26] K. Whitehouse, C. Sharp, E. Brewer, and D. Culler. Hood: A neighborhood abstraction for sensor networks. Proceedings of the International Conference on Mobile Systems, Applications, and Services (MOBISYS'04), pages 99-110, June 2004.

[27] Y. Yao and J. E. Gehrke. The cougar approach to in-network query processing in sensor networks. Sigmod Record, 31(3), September 2002.

DataCenter Resource Management for Green CyberInfrastructure

[1] J. Liu, B. Priyantha, F. Zhao, C.M. Liang, Q. Wang, S. James, Towards Discovering Data Center Genome Using Sensor Networks, HotEmNets'08 [link]

[2] Gong Chen, Wenbo He, Jie Liu, Suman Nath, Leonidas Rigas, Lin Xiao, and Feng Zhao, "Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services" 5th USENIX Symposium on Networked Systems Design & Implementation (NSDI 2008), San Francisco, CA, April 2008. (Coverage by newscientist.com)

[3] R. Nathuji, C. Isci, and E. Gorbatov, Exploiting Platform Heterogeneity for Power Efficient Data Centers. ICAC'07

[4] B. Sesharsayee, R. Nathuji, K. Schwan, Energy-aware Mobile Service Overlays: Cooperative Dynamic Power Management in Distributed Mobile Systems, ICAC'07

[5] C. Lefurgy, X. Wang, M. Ware, Server-level Power Control, ICAC'07

[6] J. Kephart, H. Chan, R. Das, D. Levine, Coordinating multiple autonomic managers to achieve specified power-performance tradeoffs, ICAC'07

[7] J. Xu, M. Zhao, J. Fortes, R. Carpenter, M. Yousif, On the Use of Fuzzy Modeling in Virtualized Data Center Management, ICAC'07

[8] J. Zhang, M. Yousif, R. Carpenter, R. Figueiredo, Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning, ICAC'07

[9] J. Moore, J. Chase, P. Ranganathan and R. Sharma, Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers, In the 2005 Usenix Annual Technical Conference, April, 2005 [link]

[10] J. Moore, J. Chase, K. Farkas, P. Ranganathan, Data Center Workload Monitoring, Analysis, and Emulation, Eighth Workshop on Computer Architecture Evaluation, Feb, 2005, [link]

[11] C.B. Bash, C.D. Patel, R.K. Sharma, Dynamic Thermal Management of Air Cooled Data Centers, The Tenth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronics Systems, 2006. ITHERM '06.

[12] R. K. Sharma, C. E. Bash, and C. D. Patel, "Dimensionless parameters for evaluation of thermal design and performance of large scale data centers," in American Institute of Aeronautics and Astronautics (AIAA), 2002. [link]

[13] The Energy Efficient Data Center, Cisco

[14] Data Center Efficiency in the Scalable Enterprise, Dell, [Presentation]

[15] Server and Data Center Energy Efficiency, EnergyStar

[16] Hitachi Planning Most Power-Efficiency Data Center, [Search Related Links]

[17] Green Grid Metrics: Describing DataCenter Power Efficiency, The Green Grid

[18] Wireless Sensor Network Solutions for Data Center Applications, SensiCast

[19] HP to save millions of dollars with smart cooling, HP, [link]

[20] Saving Energy in Data Centers -- A group at Microsoft Research attacks the problem on two fronts. [link] Some interesting comments were also posted with the report.

[21] Greenhouse and Green Computing in Notre Dame, [link]. Note: I recently found this cool Blog of Ian Foster. You can also find other interesting topics, such as Clouds Computing, Grid Computing, new emerging computing, etc. commented by Ian Foster.

[22] Recent news of green computing: Green Data Center Blog -- Monitoring, Metering, Managing the Green Data Center.

[23] Migration solutions has introduced audio to assess datacenter energy consumption [link]

[24] Energy management & sensor systems is a research conducted at IBM lab. Related software developed are Middleware for sensor systems, MQTT, etc.

Sensor driven Scientific, Engineering and Human-oriented Applications

[1] "Models, Methods and Middleware for Grid-enabled Multiphysics Oil Reservoir Management," H. Klie, W. Bangerth, X. Gai, M. F. Wheeler, P. L. Stoffa, M. Sen, M. Parashar, U. Catalyurek, J. Saltz, T. Kurc, Engineering with Computers, Springer-Verlag, online preprint, http://dx.doi.org/10.1007/s00366-006-0035-9, DOI 10.1007/s00366-006-0035-9, September 2006. (PDF)

[2] "Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository," M. Parashar, V. Matossian, H. Klie, S. G. Thomas, M. F. Wheeler, T. Kurc, J. Saltz, and R. Versteeg, Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2006 (ICCS 2006), Editors: V.N. Alexandrov et al., Reading, UK, LNCS, Springer Verlag, Vol. 3993, pp. 384 - 392, May 2006. (PDF)

[3] Underwater communications using robot fish. [link]

[4] Ocean technology systems: underwater communications. [link]

[5] Using sensor networks for green computing. [link]

[6] V. Bellotti, el. Activity-based Serendipitous Recommendations with the Magitti Mobile Leisure Guide. Proceedings of the 26th Annual ACM Conference on Human Factors in Computing Systems (CHI 2008); 2008 April 5-10; Florence; Italy. NY: ACM; 2008; 1157-1166. [link]