Marasli, R., P. D. Amer, P. T. Conrad, and G. Burch. Partial order transport service: An analytic model. in In Ninth Annual IEEE Workshop on Computer Communications. 1994. Marathon, Florida.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....(decompressor) can process ADUs coming in out of order, a more efficient transport protocol that needs not preserve order can be used. The buffer requirements at the transport receiver for an unordered protocol are always less or equal to the buffer 84 requirements with ordered protocols [113]. Ordered transport protocols have to reorder ADUs before delivering them to the application thereby delaying the delivery of ADUs and resulting in a longer occupancy of the transport receiver s buffers. A simpler transport protocol with smaller buffer requirements is especially important for ....

R. Marasli, P. Amer, P. Conrad, and G. Burch. Partial order transport service: An analytic model. In Ninth Annual IEEE Workshop on Computer Communications, Marathon, Florida, October 1994.

No context found.

R. Marasli, P. D. Amer, P. T. Conrad, and G. Burch. Partial order transport service: An analytic model. In Ninth Annual IEEE Workshop on Computer Communications, Marathon, Florida, October 1994.

....currently available protocols, 2) determine how to achieve this improvement in service (i.e. how to implement and use such protocols) and (3) describe and quantify this improvement in service. Performance study of (PO PR) transport protocols has progressed from abstract modeling and simulation [3] to a stage where a concrete target application must be chosen. This target application will be used as a reference for designing and interpreting future simulation work. In addition, a working prototype will be implemented for the purpose of measuring empirical performance results. The target ....

....added in a backwards compatible fashion to a stream protocol such as TCP. PO PR protocols provide a PO PR service to the application layer. Previous research using analytic and simulation models for POC compares the throughput and average packet delay of POC to that of an ordered, reliable service [3]. This analysis has shown that there is the potential for performance gains in terms of reduced delay, increased throughput, and reduced buffer requirements. However, like most modeling studies, our analytic and simulation models of POC rely on several simplifying assumptions assumptions that ....

R. Marasli, P. D. Amer, P. T. Conrad, and G. Burch. Partial order transport service: An analytic model. In Ninth Annual IEEE Workshop on Computer Communications, Marathon, Florida, October 1994.

.... study has formally confirmed the intuitive results that, in general, ffl a partially reliable service provides lower delay and higher throughput than a reliable service [11] and ffl a partially ordered service provides lower delay than an ordered service while consuming less buffer space [10]. A question arises as to what units should be used to label the axes. If we represent unreliable service by 0 and reliable service by 1, we could say that the reliability axis is labeled with the probability of delivering a packet. In this paper, we attempt to find a similar metric for the order ....

....transport service (best effort) may suffice. Partially reliable transport service provides a middle ground between these two in which the loss tolerance of each object can be specified individually. References [1, 5, 6, 7] consider partial order and partial reliability in juxtaposition, while [10] and this paper focus solely on partial order. ments of the objects that make up a temporal multimedia document. The application serving these documents can extract these requirements from such a specification and communicate them to the transport layer, which then provides the necessary QoS and ....

Rahmi Marasli, Paul D. Amer, and Phillip T. Conrad. Partial Order Transport Service: An Analytic Model. (Submitted for publication).

....service for an application is investigated in Section 3. Section 4 summarizes the main results. 2 Analytic Model We present an analytic model for providing partially reliable transport service using sender based loss detection and recovery. This analytic model is similar to the one presented in [5] to study the protocol Partial Order Connection (POC) 3 Its major difference is that, in this model, it is unnecessary for all of the objects that are transmitted to eventually be communicated. In [5] no such partial reliability is considered. The results show that partially reliable transport ....

....loss detection and recovery. This analytic model is similar to the one presented in [5] to study the protocol Partial Order Connection (POC) 3 Its major difference is that, in this model, it is unnecessary for all of the objects that are transmitted to eventually be communicated. In [5], no such partial reliability is considered. The results show that partially reliable transport service provides increasingly better throughput and delay than reliable transport service as the underlying network service gets more lossy and as the application s loss tolerance increases. Later in ....

[Article contains additional citation context not shown here]

R. Marasli, P. D. Amer, P. T. Conrad, and G. Burch. Partial Order Transport Service: An Analytic Model. In 9 th Annual IEEE Workshop on Computer Communications, Marathon, Florida, October 1994. IEEE.

No context found.

Marasli, R., P. D. Amer, P. T. Conrad, and G. Burch. Partial order transport service: An analytic model. in In Ninth Annual IEEE Workshop on Computer Communications. 1994. Marathon, Florida.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC