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Multiple users can concurrently use the GridICE Web interface to view the status information of resources. Alternatively, clients may interact directly with the MDS2. A seamless view of resources is achieved through the MDS2 query interface and GLUE, which allows resources to be uniformly described. Architecturally, although GridICE only provides a centralized point for gathering information, fault-tolerance and scalability can be achieved through the introduction of multiple GridICE servers monitoring different parts of a site and each reporting data into different MDS2s. Given that the MDS2 within a site can be federated into a hierarchy, with possibly multiple root MDS2s, fault tolerance can be achieved. The root MDS2 from individual Grid sites can then be incorporated into the virtual organization MDS2 federation. While MDS2 provides a distributed query engine and standard interface, the authors report that a pull model is required that involves the continual polling of resource data to populate the MDS2 with current values. This introduces a scalability issue for the GridICE server and resource layer. The DCS may be of use to provide caching functionality in an attempt to reduce overhead. However, this service is still required to periodically query resources regardless of interest by users interacting via the MDS2.

Figure 1.11 The introducer is nosed into the left atrium and the 0.032 inch guidewire is placed in the left atrium. The white arrows show the guidewire in the left atrium and the black arrow shows the portion of the introducer that has been placed in the left atrium.

receive_from_server( s, 1 ); shutdown( s, SHUT_RDWR ); return 1; }

#!/usr/bin/perl $pi = 3.141593; $radius = 10.0; $circumference = 2.0*$pi*$radius; $area = $pi*$radius**2; $volume = (4*$pi*$radius**3)/3.0; print "Radius ", $radius, "\n"; print "Circumference ", $circumference, "\n"; print "Area ", $area, "\n"; print "Volume ", $volume, "\n"

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SUMMARY A form of slotted ALOHA MAC is analyzed in Section 42 by means of a Markov chain, and CSMA/CA MAC for IEEE 80211 is analyzed in Section 43 by means of a two-dimensional Markov chain This form of slotted ALOHA MAC is used in cellular access networks, while CSMA/CA is used in WLANs Other analyses for IEEE 80211 and IEEE 80211e can be found in [2,10 13] Multiclass CSMA/CA MAC is used in IEEE 80211e and WiMedia IEEE 80211e can also be used in IEEE 80211n WLAN IEEE 80211n can support a data rate of up to 600 Mbps More details on IEEE 80211e and IEEE 80211n are given in 11 WiMedia is a high-rate WPAN with a data rate of up to 480 Mbps More details on WiMedia are given in 12.

with two-sided power spectral density N0 /2. We assume perfect clock and sequence synchronization for the signal transmitted by the nth user. Let L p be the number of RAKE ngers and Z i be the output of the ith RAKE nger:

The average delay for polling MAC is presented in Section 44 Polling is used in Bluetooth, which is a low-data-rate WPAN A reservation MAC known as dynamic time-division multiple access is analyzed in Section 45 using two Markov chains Reservation MAC is used in satellites Other forms of reservation MACs may be found in [14 26] In Section 46 an energy-ef cient MAC for IEEE 802154 is considered ZigBee uses the IEEE 802154 MAC and is also a low-rate WPAN Other energy-ef cient MACs may be found in [27 32] A multichannel MAC using a dedicated control channel is considered in Section 47 A Markov chain is used in analytical modeling to obtain the total system throughput for this multichannel MAC Other types of multichannel MACs are described [5,33,34] Two directional-antenna MAC protocols are analyzed in Section 48.

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