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Even though TCP-Vegas was not intentionally designed for MANETs, it can improve the TCP throughput because its inherent rate-based congestion control algorithm could proactively avoid possible congestion and packet losses by ensuring that the number of outstanding segments in the network is small Moreover, the modi ed slow-start algorithm could avoid the typical sharp increase in cwnd during the slowstart phase by switching TCP to the congestion avoidance phase early In this way, TCP-Vegas could prevent packet losses due to the aggressive growth of the congestion window during the traditional slow-start phase However, TCP-Vegas also inherits most of the weaknesses of conventional TCP It cannot handle the effects of route failures and wireless channel errors Moreover, TCP-Vegas suffers from several other problems as discussed in reference [17] First, there are inaccuracies in the calculated expected throughput after a route change event.



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9.4 System Decomposition and Integration Design Guidelines Table 9.1 System levels of abstraction descriptions Level or Tier 0 Nomenclature (Optional) User s SYSTEM Level SYSTEM Level Scoping De nition





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A level of abstraction that represents the User s business environment with your SYTEM OF INTEREST (SOI) as an embedded element. We refer to this as the Level 0 or Tier 0 system. A level of abstraction that describes on the top-level representation of your SOI from the organization s (observer s) frame of reference. Architectural representations (i.e., an architectural block diagram, ABD) of the SYSTEM level include the SOI boundaries, interfaces to external systems in the operating environment, and embedded SEGMENT level entities (if applicable) or PRODUCT level entities and their interfaces. This level of abstraction is referred to as a Level 1 or Tier 1 system. Refers to system entities at the rst level of decomposition below the SYSTEM level. Each instance of a SEGMENT level entity is referred to as a Level 2 or Tier 2 system. An architectural representation of a SEGMENT level entity includes: 1. Level 3 or Tier 3 PRODUCTS and lower level entities. 2. Their internal PRODUCT level relationships. 3. The SEGMENT s relationships with external entities within the SYSTEM (i.e., with other SEGMENTS) and external systems beyond the SYSTEM s boundaries, as applicable. Consider the following example: EXAMPLE 9.2 A communications SYSTEM might consist of land-based, sea-based, air-based, and space-based SEGMENTS.

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A route change is likely to invalidate the baseRTT used in TCP-Vegas for calculating the expected throughput Therefore, the baseRTT may not re ect the actual minimum measured round-trip time of the connection If this inaccuracy causes the calculated throughput difference to fall below the threshold, TCP-Vegas will reduce its rate as if congestion occurs Another problem is the unfairness of TCP-Vegas Unfairness occurs when TCP-Vegas competes with other TCP-Reno connections Because of the aggressiveness of TCP-Reno and the conservativeness of TCP-Vegas, TCP-Reno can obtain a greater share of the available bandwidth Even with TCP-Vegas operating alone, the connections that start at a later time usually obtain a smaller share of bandwidth because their observed baseRTTs are usually higher..

information technology. Specifically, this chapter discusses the interrelated relationships of architecture, IT governance and project portfolio management, and IT organizational development in terms of how their interrelated synergies create a powerful whole, greater than the sum of their parts. This chapter focuses on the key interrelationships of these three practice area disciplines and how the CIO can integrate them to guide the organization in support of enterprise strategic goals.

SEGMENT Level (optional)

PRODUCT Level (optional)

TCP-Westwood TCP-Westwood [15] is another TCP variant that is based on bandwidth estimation The main idea of TCP-Westwood is to keep track of the average throughput of the connection and use the information maintained appropriately when a packet loss occurs Therefore, it is particularly effective in tackling the effects of wireless errors on the TCP performance Bandwidth Estimation and Faster Recovery The bandwidth estimation is done by measuring the rate of return of ACKs The estimation can adaptively use a higher weighting factor on the current bandwidth measurement when the interarrival times of ACKs increases Therefore, when congestion occurs, the estimated bandwidth will capture the congestion state much faster and provide a more conservative estimate Moreover, when there is a prolonged absence of ACKs (potentially because of congestion), the estimated bandwidth will exponentially decrease.

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