Research directions in energy-sustainable cyberphysical systems

Sustainable Computing: Informatics and Systems

Volumn 1, Issue 1, 2011, Pages 57-74

  Gupta, Sandeep K S ^a   Mukherjee, Tridib ^a   Varsamopoulos, Georgios ^a   Banerjee, Ayan ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Cyberphysical systems; Model based engineering; Sustainability

Indexed keywords

BODY SENSOR NETWORKS; DECISION MAKING; EMBEDDED SYSTEMS; ENERGY UTILIZATION; POWER MANAGEMENT; SUSTAINABLE DEVELOPMENT;

BODY SENSOR NETWORKS (BSNS); COMPUTING WORKLOADS; CYBER PHYSICAL SYSTEMS (CPSS); MANAGEMENT DECISION-MAKING; MODEL-BASED ENGINEERING; PHYSICAL ENVIRONMENTS; RESOURCE MANAGEMENT ALGORITHMS; SUSTAINABLE COMPUTING;

GREEN COMPUTING;

EID: 79953837952     PISSN: 22105379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.suscom.2010.10.003     Document Type: Review

References (58)

1. NewsLink Spring 08, Tackling Todayss Data Center Energy Efficiency Challenges
2. J.A. Paradiso, S. Thad, Energy scavenging for mobile and wireless electronics, IEEE Pervasive Computing 4 (January-March (1)) (2005) 18-27. (Pubitemid 40495602)
3. Q. Tang, S.K.S. Gupta, G. Varsamopoulos, Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data centers: a cyber-physical approach, IEEE TPDS 19 (11) (2008) 1458-1472
4. K. Venkatasubramanian, G. Deng, TMukherjee, J. Quintero, V. Annamalai, S.K.S. Gupta, Ayushman: a wireless sensor network based health monitoring infrastructure and testbed, Distributed Computing in Sensor Systems (July) (2005) 406-407. (Pubitemid 41425140)
5. D. Wada, D. Ward, The hybrid model: a new pharmacokinetic model for computer-controlled infusion pumps, IEEE Transactions on Biomedical Engineering 41 (February (2)) (1994) 134-142. (Pubitemid 24152753)
6. L. Schwiebert, S.K.S. Gupta, J. Weinmann, Research challenges in wireless networks of biomedical sensors, in: MobiCom01: Proceedings of the 7th annual international conference on Mobile computing and networking, ACM, New York, NY, USA, 2001, pp. 151-165. (Pubitemid 33006712)
7. S. Roundy, E.S. Leland, J. Baker, E. Carleton, E. Reilly, E. Lai, B. Otis, J.M. Rabaey, V. Sundararajan, P.K. Wright, Improving power output for vibration-based energy scavengers, IEEE Pervasive Computing 4 (1) (2005) 28-36. (Pubitemid 40495603)
8. P. Rong, M. Pedram, Power-aware scheduling and dynamic voltage setting for tasks running on a hard real-time system, January 2006, pp. 473-478
9. H. Li, J. Tan, An ultra-low-power medium access control protocol for body sensor network, 2005, pp. 2451-2454
10. S. Ullah, P. Khan, Y.-W. Choi, H.-S. Lee, K.S. Kwak, MAC hurdles in body sensor networks, in: ICACT09: Proceedings of the 11th International Conference on Advanced Communication Technology, IEEE Press, Piscataway, NJ, USA, 2009, pp. 1151-1155
11. K. Ram, V. Tsiatsis, M.B. Srivastava, Computation hierarchy for in-network processing, in: WSNA03: Proceedings of the 2nd ACM International Conference on Wireless Sensor Networks and Applications, New York, NY, USA, 2003, pp. 68-77
12. T. Mukherjee, A. Banerjee, G. Varsamopoulos, S.K.S. Gupta, S. Rungta, Spatiotemporal thermal-aware job scheduling to minimize energy consumption in virtualized heterogeneous data centers, Computer Networks, June 2009
13. U.E.P. Agency, Report to congress on server and data center energy efficiency public law 109-431, ENERGY STAR Program, 2007
14. A. Banerjee, S. Kandula, T. Mukherjee, S.K.S. Gupta, BAND-AiDe: a tool for cyberphysical oriented analysis and design of body area networks and devices, ACM Transactions on Embedded Computing Systems (TECS), Special issue on Wireless Health Systems (minor revision submitted for review), 2010
15. J. Geus, D. Posthuma, N. Kupper, M. Berg, G. Willemsen, A. Beem, P. Slagboom, D. Boomsma, Awhole-genome scan for 24-hour respiration rate: amajor locus at 10q26 influences respiration during sleep, Tech. Rep., 2005
16. H. Ibrahim, A. Ilinca, J. Perron, Energy storage systems-characteristics and comparisons, Renewable and Sustainable Energy Reviews 12 (5) (2008) 1221-1250. (Pubitemid 351492608)
17. H. Lund, G. Salgi, The role of compressed air energy storage (caes) in future sustainable energy systems, Energy Conversion and Management 50 (5) (2009) 1172-1179
18. Review on thermal energy storage with phase change materials and applications, vol. 13 (2), 2009, pp. 318-345
19. M.R. Gary, D.S. Johnson, A Guide to the Theory of NP-Completeness, Freeman, 1979
20. D. Tsafrir, Y. Etsion, D.G. Feitelson, Backfilling using system-generated predictions rather than user runtime estimates, IEEE Transactions on Parallel and Distributed Systems (TPDS) 18 (June (6)) (2007) 789-803. (Pubitemid 46767742)
21. J. Burge, P. Ranganathan, Cost-aware scheduling for heterogeneous enterprise machines, in: Workshop on Green Computing (GreenCom), Proceedings of the IEEE Cluster Conference, September 2007
22. J. Moore, J. Chase, P. Ranganathan, Weatherman: Automated online, and predictive thermal mapping and management for data centers, in: 3rd IEEE International Conference on Autonomic Computing, June 2006
23. J. Moore, J. Chase, P. Ranganathan, R. Sharma, Making scheduling cool: temperature-aware resource assignment in data centers, in: Usenix Annual Technical Conference, April 2005
24. Z. Abbasi, G. Varsamopoulos, S.K.S. Gupta, Thermal aware server provisioning and workload distribution for internet data centers, in: ACM International Symposium on High Performance Distributed Computing (HPDC10), June 2010
25. A. Banerjee, T. Mukherjee, G. Varsamopoulos, S.K.S. Gupta, Cooling-aware and thermal-aware workload placement for green hpc data centers, in: International Conference on Green Computing Conference (IGCC2010), August 2010
26. R. Gonzalez, M. Horowitz, Energy dissipation in general purpose microprocessors, IEEE Journal of Solid-State Circuits 31 (September (9)) (1996) 1277-1284
27. R. Bianchini, R. Rajamony, Power and energy management for server systems, Computer 37 (November (11)) (2004) 68-76
28. H. Taliver, et al., Mercury and Freon: temperature emulation and management for server systems, in: ASPLOS-XII: Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems, ACM Press, New York, NY, USA, 2006, pp. 106-116
29. L. Ramos, R. Bianchini, C-oracle: predictive thermal management for data centers, in: IEEE 14th International Symposium on High Performance Computer Architecture (HPCA2008), February 2008, pp. 111-122
30. R. Sharma, T. Christian, M. Arlitt, C. Bash, C. Patel, Design of farm waste-driven supply side infrastructure for data centers, 2010. HP designs sustainable datacenter fueled by cow manure, "http://www.smartplanet.com/ business/blog/smart-takes/hp-designssustainable" http://www.smartplanet. com/business/blog/smart-takes/hp-designssustainable -datacenter-fueled-by-cow- manure/7189/
31. P. Ranganathan, P. Leech, D. Irwin, J. Chase, Ensemble-level power management for dense blade servers, in: IEEE Proceedings of the 33rd International Symposium on Computer Architecture (ISCA06), Boston, MA, May 2006, pp. 66-77. (Pubitemid 46016605)
32. R.K. Sharma, C.E. Bash, C.D. Patel, R.J. Friedrich, J.S. Chase, Balance of power: dynamic thermal management for internet data centers, IEEE Internet Computing 9 (1) (2005) 42-49 (Online). Available: "http://doi. ieeecomputersociety.org/10.1109/MIC.2005.10" http://doi. ieeecomputersociety.org/10.1109/MIC.2005.10. (Pubitemid 40351898)
33. T. Mukherjee, A. Banerjee, G. Varsamopoulos, S.K.S. Gupta, Model-driven co-ordinated management of data centers, Elsevier Computer Networks 54 (16) (2010) 2869-2886, doi:10.1016/j.comnet.2010.08.011 (Online). Available: "http://www.sciencedirect.com/science/article/B6VRG-5103X3Y" http://www.sciencedirect.com/science/article/B6VRG-5103X3Y-1/2/ bfb2eacf3d1695839a266648141a3296
34. L.K. Au, W.H. Wu, M.A. Batalin, D.H. McIntire, W.J. Kaiser, Microleap: Energyaware wireless sensor platform for biomedical sensing applications, 2007, pp. 158-162
35. P.H. Chou, C. Park, Energy-efficient platform designs for real-world wireless sensing applications, in: ICCAD05: Proceedings of the 2005 IEEE/ACM International Conference on Computer-aided Design, IEEE Computer Society, Washington, DC, USA, 2005, pp. 913-920
36. Most eco-friendly nokia mobile phones, "http://www. environmentteam" http://www.environmentteam-. com/2010/04/07/8-most-eco- friendly-nokia-mobile-phones/
37. L. Yang, R. Vyas, A. Rida, J. Pan, M. Tentzeris, Wearable rfid-enabled sensor nodes for biomedical applications, May 2008, pp. 2156-2159 Eco gadgets: recyclable paper laptop for sustainable computing,"http://www.ecofriend. org/entry/eco-gadgets-recyclable-paper-laptopfor" http://www.ecofriend.org/ entry/eco-gadgets-recyclable-paper-laptopfor- sustainable-computing/
38. H. Ghasemzadeh, R. Jafari, Data aggregation in body sensor networks: a power optimization technique for collaborative signal processing, June 2010, pp. 1-9
39. S. Nabar, J. Walling, R. Poovendran, Minimizing energy consumption in body sensor networks via convex optimization, in: BSN10: Proceedings of the 2010 International Conference on Body Sensor Networks, IEEE Computer Society, Washington, DC, USA, 2010, pp. 62-67
40. H. Ghasemzadeh, N. Jain,M.Sgroi, R. Jafari, Communication minimization for innetwork processing in body sensor networks: a buffer assignment technique, April 2009, pp. 358-363
41. S. Khan, I. Ahmad, A cooperative game theoretical technique for joint optimization of energy consumption and response time in computational grids, IEEE Transactions on Parallel and Distributed Systems 20 (March (3)) (2009) 346-360
42. L. Wang, G. von Laszewski, J. Dayal, X. He, A. Younge, T. Furlani, Towards thermal aware workload scheduling in a data center, December 2009, pp. 116-122
43. Y. Lee, A. Zomaya, Energy efficient utilization of resources in cloud computing systems, The Journal of Supercomputing (2010) 1-13, doi:10.1007/s11227- 010-0421-3 (Online). Available: "http://dx.doi.org/10. 1007/s11227-010rr0421" http://dx.doi.org/10.1007/s11227-010rr042- 3
44. J. Moore, et al., Making scheduling cool: temperature-aware resource assignment in data centers, in: 2005 Usenix Annual Technical Conference, April
45. J. Sherwani, N. Ali, N. Lotia, Z. Hayat, R. Buyya, Libra: a computational economybased job scheduling system for clusters, Software: Practice and Experience 34 (6) (2004) 573-590
46. R. Ayoub, S. Sharifi, T. Simunic Rosing, Gentlecool: Cooling aware proactive workload scheduling in multi-machine systems, March 2010, pp. 295-298
47. V. Subramanian, M. Gilberti, A. Doboli, Online adaptation policy design for grid sensor networks with reconfigurable embedded nodes, in: DATE, IEEE, 2009, pp. 1273-1278
48. G. Varsamopoulos, Z. Abbasi, S.K.S. Gupta, Trends and effects of energy proportionality on server provisioning in data centers, in: International Conference on High performance Computing Conference (HiPC2010), December 2010
49. K.K. Venkatasubramanian, A. Banerjee, S.K.S. Gupta, Plethysmogram-based secure inter-sensor communication in body area networks, in: Military Communications Conference, 2008, MILCOM 2008, IEEE, November 2008, pp. 1-7
50. H.H. Pennes, Analysis of tissue and arterial blood temperature in the resting human forearm, Journal of Applied Physiology 1 (1) (1948) 93-122
51. H. Ghasemzadeh, V. Loseu, E. Guenterberg, R. Jafari, Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing, in: Proceedings of the International Conference on Body Area Networks, ICST, 2009, pp. 1-8
52. R. Marculescu, P. Bogdan, The chip is the network: toward a science of networkon- chip design, 2007
53. T.A. Henzinger, The Theory of Hybrid Automata, IEEE Computer Society Press, 1996, pp. 278-292
54. G. Lafferriere, G.J. Pappas, S. Yovine, Reachability computation for linear hybrid systems, in: Proceedings of the 14th IFAC World Congress, vol. E, Elsevier Science Ltd, 1998, pp. 7-12
55. P. Ye, E. Entcheva, S.A. Smolka, M.R. True, R. Grosu, Hybrid automata as a unifying framework for modeling cardiac cells, in: Proceedings of EMBS06, the 28th IEEE International Conference of the Engineering in Medicine and Biology Society, IEEE Press, 2006, pp. 4151-4154. (Pubitemid 46520826)
56. C. Baier, B.R. Haverkort, H. Hermanns, J.-P. Katoen, Performance evaluation and model checking join forces, Communications of the ACM 53 (9) (2010) 76-85
57. K.K. Venkatasubramanian, A. Banerjee, S.K.S. Gupta, Green and sustainable cyber-physical security solutions for body area networks, in: BSN09: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks, 1em plus 0.5em minus 0.4em, IEEE Computer Society, Washington, DC, USA, 2009, pp. 240-245
58. S.K.S. Gupta, T. Mukherjee, K. Venkatasubramanian, Criticality Aware Access Control Model for Pervasive Applications, Fourth IEEE International Conference on Pervasive Computing and Communications (PerCom06), Percom, 2006, pp.251-257