A transport layer approach for achieving aggregate bandwidths on multi-homed mobile hosts

Hsieh, Hung‐Yun; Sivakumar, R.

doi:10.1145/570645.570656

Cited by 159 publications

(98 citation statements)

References 23 publications

(18 reference statements)

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“…This implies that they share real-time requirements with applications like multimedia and video services [44,46,21,16]. Figure 1 shows a prototypical, distributed collaborative visualization [1,48].…”

Section: Real-time Collaborationmentioning

confidence: 99%

IQ‐Services: network‐aware middleware for interactive large‐data applications

Cai¹,

Eisenhauer²,

He³

et al. 2005

Concurrency and Computation

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IQ-Services are application-specific, resource-aware code modules executed by data transport middleware. They constitute a 'thin' layer between application components and the underlying computational and communication resources that implements the data manipulations necessary to permit wide-area collaborations to proceed smoothly, despite dynamic resource variations. IQ-Services interact with the application and resource layers via dynamic performance attributes, and end-to-end implementations of such attributes also permit clients to interact with data providers. Joint middleware/resource and provider/consumer interactions implement a cooperative approach to data management for the large-data applications targeted by our research. Experimental results in this paper demonstrate substantial performance improvements attained by coordinating network-level with service-level adaptations of the data being transported and by permitting end users to dynamically deploy and use application-specific services for manipulating data in ways suitable for their current needs.

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Section: Real-time Collaborationmentioning

confidence: 99%

IQ‐Services: network‐aware middleware for interactive large‐data applications

Cai¹,

Eisenhauer²,

He³

et al. 2005

Concurrency and Computation

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“…2 While such approaches can be used for content downloads, they are not applicable to most other applications that maintain a limited buffer and require the in-sequence delivery service from lower layers. It has been shown in [9] that for such applications the performance achieved can be throttled by the slowest link in the connection if application-layer striping is performed without transport layer support.…”

Section: The Destination (Requesting Peer)mentioning

confidence: 99%

“…Out-of-order arrivals not only call for a large resequencing buffer at the receiver, but can also introduce headof-line blocking. It has been shown in [9] that head-ofline blocking can cause significant performance loss in terms of achieving the aggregate bandwidth. As we mentioned in Section 3.1, different paths in a multipoint-to-point connection can exhibit very different characteristics in terms of bandwidth/latency mismatches and fluctuations.…”

Section: Packet Schedulingmentioning

confidence: 99%

On Transport Layer Support for Peer-to-Peer Networks

Hsieh

Sivakumar

2005

Lecture Notes in Computer Science

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TCP is the transport protocol used predominantly in the Internet as well as in peer-to-peer networks. However, peerto-peer networks exhibit very different characteristics from those of conventional client-server networks. In this paper, we argue that the unique characteristics of peer-to-peer networks render TCP inappropriate for effective data transport in such networks. Specifically, we motivate transport layer support for multipoint-to-point connections to address the problem of sources in peer-to-peer networks lacking serverlike properties in terms of capacity and availability. We outline several key elements in designing a new transport protocol for supporting effective multipoint-to-point connections. Finally, we present a case study for a multipointto-point transport protocol that puts together these design elements in practice. We thus motivate further research along this direction.

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“…Recent studies have suggested that concurrent multi-path transfer (CMT) (Phatak and Goff, 2002;Hsieh and Sivakumar, 2005;Iyengar et al, 2006;Liao et al, 2008) is an effective traffic engineering technique to improve throughput by aggregation of bandwidth, especially for the high-bandwidth applications such as video sharing/download/streaming. Other benefits include increased service reliability, latency reduction, and fault tolerance by sending redundant data over different paths, and enhanced mobility when combining coverage areas of multiple mobile and wireless access networks.…”

Section: Introductionmentioning

confidence: 99%

OSIA: Out-of-order Scheduling for In-order Arriving in concurrent multi-path transfer

Wang

Liao

2012

Journal of Network and Computer Applications

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One major problem of concurrent multi-path transfer (CMT) scheme in multi-homed mobile networks is that the utilization of different paths with diverse delays may cause packet reordering among packets of the same flow. In the case of TCP-like, the reordering exacerbates the problem by bringing more timeouts and unnecessary retransmissions, which eventually degrades the throughput of connections considerably. To address this issue, we first propose an Out-of-order Scheduling for In-order Arriving (OSIA), which exploits the sending time discrepancy to preserve the in-order packet arrival. Then, we formulate the optimal traffic scheduling as a constrained optimization problem and derive its closedform solution by our proposed progressive water-filling solution. We also present an implementation to enforce the optimal scheduling scheme using cascaded leaky buckets with multiple faucets, which provides simple guidelines on maximizing the utilization of aggregate bandwidth while decreasing the probability of triggering 3 dupACKs. Compared with previous work, the proposed scheme has lower computation complexity and can also provide the possibility for dynamic network adaptability and finer-grain load balancing. Simulation results show that our scheme significantly alleviates reordering and enhances transmission performance.

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A transport layer approach for achieving aggregate bandwidths on multi-homed mobile hosts

Cited by 159 publications

References 23 publications

IQ‐Services: network‐aware middleware for interactive large‐data applications

IQ‐Services: network‐aware middleware for interactive large‐data applications

On Transport Layer Support for Peer-to-Peer Networks

OSIA: Out-of-order Scheduling for In-order Arriving in concurrent multi-path transfer

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