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ATP uses rate-based transmissions instead of windowbased transmissions that is used with the conventional TCP ATP not only uses the rate feedback from intermediate nodes to control the transmission rate but also uses a transmission scheduler to schedule the transmissions evenly over time to reduce the burstiness of the connection Decoupling of Congestion Control and Reliability In contrast to conventional TCP, ATP decouples congestion control and reliability ATP does not require the arrival of ACKs to clock out packet transmissions but depends on the regular feedback from the network to perform the congestion control For reliability, ATP does not employ cumulative ACKs but solely relies on the use of selective acknowledgment (SACK) information that is periodically reported by the receiver to identify packet losses Assisted Congestion Control ATP requires each intermediate node along the connection to maintain two pieces of information.

The <Self/>, <User/>, <Environment/>, and <Autonomous-control/> with AML may yield aberrant behavior with legal nger-pointing among service provider and third party software developers Since it is easy to envision the many problems with a shift toward self-awareness, one must clearly de ne bene ts and constraints for a managed evolution along AACR design points toward the iCR One such sequence emphasizes QoI over mere QoS 225 QoS or QoI.

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The rst information is the average queuing delay, Qt , experienced by packets traversing that node The second information is the average transmission delay, Tt , experienced by the head-of-line packet at that node Qt is related to the contention between packets belonging to different ows at the same node Tt is related to the contention between packets within the vicinity of the node The highest Qt + Tt value of the nodes in the forward path is returned by the receiver to the sender The sender then uses this information to control the transmission rate ATP is well-suited for MANETs due to many reasons ATP uses rate feedback from the intermediate nodes to identify the bandwidth bottlenecks on the forward path and thus is able to determine the maximum forward transmission rate accurately without the restriction of the constrained reverse path This is in contrast with the bandwidth.

Speci cally, Figure 2-1 broadens the set of behaviors of the iCR <Self/> from QoS to QoI. 2.2.5.1 QoS Quality of service (QoS) includes data rate (Rb), bit error rate (BER), delay (dT), delay jitter ( T), and burstiness of the connection. Burstiness may be estimated as the peak data rate Rbmax divided by the long-term average data rate including overhead and outages, Ravg:

estimation of TCP-Westwood, TCP-Vegas, and TCP-Jersey, wherein the estimated bandwidth is somehow implicitly affected by the characteristics of the ACK on the reverse path Another advantage provided by the use of the rate feedback is that ATP does not require the arrival of ACKs to clock out packet transmissions; therefore, it is more robust to ACKs losses ATP uses a periodic SACK scheme instead of using cumulative ACKs to provide reliability; this reduces the traf c overhead on the reverse path The use of the SACK scheme also enables ATP to recover more than one segment at a time; thus, it is more ef cient and robust in high loss environments The probing and the initial rate feedback in ATP is very important when considering that the route failure events occur frequently in MANETs.

Hash tables are used in databases and spreadsheets to ef ciently pack indexed data into nite memory. One Java library for embedded hash tables, ObjectSpace, de nes a hash table as a HashMap: 1. HashMap serModel = new HashMap(); (8-1) 2. serModel.add( 27.790 , Forest Products ); (8-2) 3. serModel.add( 27.790 , Army ); /* Similar statements de ne a small database */ (8-3) 4. int responses = serModel.count( 27.790 ); /* This returns the integer 2 */ (8-4) 5. Object response = serModel.get( 30.010 ); (8-5) The HashMap class (8-1) creates a stimulus experience response model (serModel) to which string constants may be added in pairs ((8-2) and (8-3)), the rst of which serves as a key to the serModels microdatabase. HashMap. count reveals how many objects match the key object (8-4), while the get() function (8-5) returns a HashMapIterator over the objects that match a query. Algorithm 8-1 HashMapIterator Processes Matching Objects

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