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We will now familiarize ourselves with the three most prominent examples of objectoriented middleware; the C ommon Object Request Broker Architecture (C O RBA) of the Object Management Group (O MG), Microsoft s C ommon Object Model (C O M) and Sun Remote Method Invocation (RMI). We will study these systems in order to understand how the principles that we learned in the previous chapter are applied in practice. We will focus particularly on how they implement an object request between a client and a server object and highlight how the middleware systems achieve transparency of requests. While doing so, we will grasp the differences and similarities between the object models and architectures that these middleware systems use.

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042 and 0061 dB/ A spiral YBCO delay line on sapphire (Liang et al, 1994) produced 9 ns of delay at 77 K Surface resistance was 05 mohm at 10 GHz; insertion loss was 15 dB at 6 GHz This is 0167 dB/ns at 6 GHz Also, at 6 GHz the delay line is 54 long, giving a loss of 00278 dB/ Another spiral delay line (Hofer and Kratz, 1993) has 3-ns delay but no data on loss Track et al (1993) and Martens et al (1993) built both NbN and YBCO delay lines, using a meanderline pattern The delay was 8 ns, with a loss of 3 dB at 20 GHz, or 0375 dB/ns At 20 GHz this loss is 00125 dB/ Other work on meanderline delay lines was by Hattori et al (1999) with 2.

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[25] LI Dickman, Small Virtual Machines: A Survey, in Workshop on Virtual Computer Systems, Cambridge, MA, USA, June 1973, pp 191 202 [26] Stefan Dulman, Tjerk Hofmeijer and Paul Havinga, Wireless sensor networks dynamic runtime con guration, in Proceedings of ProRISC 2004, 2004 [27] A Dunkels, B Gr nvall and T Voigt, Contiki a Lightweight and Flexible Operating System for Tiny Networked Sensors, in First IEEE Workshop on Embedded Networked Sensors, 2004 [28] A Dunkels, O Schmid and T Voigt, Using Protothreads for Sensor Network Programming, in First Workshop on Real-World Wireless Sensor Networks, Stockholm, Sweden, June 2005 [29] D Estrin, D Culler, K Pister and G Sukhatme, Connecting the Physical World with Pervasive Networks, IEEE Pervasive Computing, vol 1, no 1, pp 59 69, 2002 [30] D Estrin, R Govindan, J Heidemann and S.

Kumar, Next Century Challenges: Scalable Coordination in Sensor Networks, in International Conference on Mobile Computing and Networks (MobiCOM 99), 1999 [31] Christian Frank and Kay R mer, Algorithms for Generic Role Assignment in Wireless Sensor Networks, in Proceedings of the 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys), San Diego, CA, USA, November 2005 [32] D Gay, P Levis, R von Behren, M Welsh, E Brewer and D Culler, The nesC language: A holistic approach to networked embedded systems, in Proceedings of the ACM SIGPLAN 2003 Conference on Programming Language Design and Implementation, San Diego, CA, USA, 2003, pp 1 11 [33] C Han, R Rengaswamy, R Shea, E Kohler and M Srivastava, SOS: A dynamic operating system for sensor networks, in MobiSys 2005, Seattle, USA, June 2005 [34] WB Heinzelman, AL Murphy, HS Carvalho and MA.

8-ns delay and loss at 70 K, and at 10 GHz, of 039 dB/ns or 0039 dB/ ; by Hohenwarter et al (1993), using NbN and coplanar waveguide, with 45-ns delay and with loss of.

Perillo, Middleware to Support Sensor Network Applications, IEEE Network, vol 18, pp 6 14, 2004 [35] J Hill, R Szewczyk, A Woo, S Hollar, D Culler and K Pister, System Architecture Directions for Networked Sensors, in ASPLOS 2000, Cambridge, USA, November 2000 [36] J Johansson, M V lker, J Eliasson, stmark, P Lindgren and J Delsing, Mulle: A minimal sensor networking device implementation and manufacturing challenges, in IMAPS Nordic 2004, 2004 [37] M Kero, P Lindgren and J Nordlander, Timber as an RTOS for Small Embedded Devices, in First Workshop on Real-World Wireless Sensor Networks, Stockholm, Sweden, June 2005 [38] T Kindberg, J Barton, J Morgan, G Becker, D Caswell, P Debaty, G Gopal, M Frid, VKrishnan, H Morris, J Schettino and B Serra, People, Places, Things: Web Presence for the Real World, Tech Report TR HPL-2000-16, Internet and Mobile Systems Laboratory, HP Laboratories Palo Alto, February 2000.

[39] J Koberstein, N Luttenberger, C Buschmann and S Fischer, Shared Information Spaces for Small Devices: The SWARMS Software Concept, in Workshop on Sensor Networks at Informatik 2004, Ulm, Germany, September 2004..

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