Adaptive flow control for TCP on mobile phones

Sanadhya, Shruti; Sivakumar, R.

doi:10.1109/infcom.2011.5935130

Cited by 9 publications

(6 citation statements)

References 2 publications

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“…For example, studies [16] have shown that HTML, Javascript, and CSS processing and rendering can delay the request of required objects and significantly affect the overall page load time. Finally, it has been observed [13] that having a slow processor increases the number of zero window advertisements, which significantly affects throughput.…”

Section: Methodsmentioning

confidence: 99%

Towards a SPDY'ier mobile web?

Erman

Gopalakrishnan

Jana

et al. 2013

Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies

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Despite its widespread adoption and popularity, the Hypertext Transfer Protocol (HTTP) suffers from fundamental performance limitations. SPDY, a recently proposed alternative to HTTP, tries to address many of the limitations of HTTP (e.g., multiple connections, setup latency). With cellular networks fast becoming the communication channel of choice, we perform a detailed measurement study to understand the benefits of using SPDY over cellular networks. Through careful measurements conducted over four months, we provide a detailed analysis of the performance of HTTP and SPDY, how they interact with the various layers, and their implications on web design. Our results show that unlike in wired and 802.11 networks, SPDY does not clearly outperform HTTP over cellular networks. We identify, as the underlying cause, a lack of harmony between how TCP and cellular networks interact. In particular, the performance of most TCP implementations is impacted by their implicit assumption that the network round-trip latency does not change after an idle period, which is typically not the case in cellular networks. This causes spurious retransmissions and degraded throughput for both HTTP and SPDY. We conclude that a viable solution has to account for these unique cross-layer dependencies to achieve improved performance over cellular networks.

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Section: Methodsmentioning

confidence: 99%

Towards a SPDY'ier mobile web?

Erman

Gopalakrishnan

Jana

et al. 2013

Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies

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“…Huang et al [15] proposed a proportional controller to stabilize the received visual quality, as well as the bottleneck link queue. The work in [16] analyzed the TCP congestion control algorithm based on a control-theoretic approach. It is worth noticing that there is inherent feedback control logic in these systems.…”

Section: Related Workmentioning

confidence: 99%

“…For example, the method proposed in [15] employed the random early detection model for bottleneck routing; therefore, the packet loss probability and queue length forms a feedback control system automatically [17]. It is shown in [16] that TCP itself is an unstable integral control system, whereas in DASH, there is no such inherent or explicit feedback control logic for rate adaption. In [13], a feedback control mechanism is designed to control the sending buffer size at the server side so that the TCP sending buffer is always full and DASH video bitrate matches the available bandwidth.…”

Section: Related Workmentioning

confidence: 99%

“…In summary, the proposed rate adaption scheme is described as: whenever a block is downloaded completely: 1) the block length is updated for the next block by Table II; 2) the fragments are scheduled to multiple servers by Table III; and 3) all fragments belonging to the new block are set with the same video rate according to (16).…”

Section: Pd Controller For Rate Adaptationmentioning

confidence: 99%

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A Control-Theoretic Approach to Rate Adaption for DASH Over Multiple Content Distribution Servers

Zhou

Lin

Zhang

et al. 2014

IEEE Trans. Circuits Syst. Video Technol.

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Recently, dynamic adaptive streaming over HTTP (DASH) has been widely deployed on the Internet. However, the research about DASH over multiple content distribution servers (MCDS-DASH) is limited. Compared with traditional singleserver DASH, MCDS-DASH is able to offer expanded bandwidth, link diversity, and reliability. It is, however, a challenging problem to smooth video bitrate switching over multiple servers due to their diverse bandwidths. In this paper, we propose a blockbased rate adaptation method considering both the diverse bandwidths and feedback buffered video time. In our method, multiple fragments are grouped into a block and the fragments are downloaded in parallel from multiple servers. We propose to adapt video bitrate at the block level rather than at the fragment level. By dynamically adjusting the block length and scheduling fragment requests to multiple servers, the requested video bitrates from the multiple servers are synchronized, making the fragments download in an orderly way. Then, we propose a control-theoretic approach to select an appropriate bitrate for each block. By modeling and linearizing the rate adaption system, we propose a novel proportional-derivative controller to adapt video bitrate with high responsiveness and stability. Theoretical analysis and extensive experiments on our network testbed and the Internet demonstrate the good efficiency of the proposed method.Index Terms-Control-theoretic approach, dynamic adaptive streaming over HTTP (DASH), multiple servers, rate adaption. I. IntroductionI N RECENT years, dynamic adaptive streaming over HTTP (DASH) has been widely adopted for providing uninterrupted video streaming service to users with dynamic network conditions and heterogeneous devices [1]-[3]. Contrary to the past RTP/UDP, the use of HTTP over TCP is easy to configure and, in particular, it greatly simplifies the traversal of firewalls and network address translators. Besides, the deployment cost of DASH is relatively low since it employs standard HTTP

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“…challenges in antenna implementation and placement), and minimal production costs (e.g. small network buffer/queue due to low memory capacity), which subject them to throughput reduction http://www.journalofcloudcomputing.com/content/2/1/15 and fluctuating performance [35]. Moreover, when an application on the receiver is not able to process TCP packets as fast as senders transmit due to lack of processing resources, the receiver sets the TCP flow limit by decreasing its receive window size.…”

Section: Constraints Of Using Mobile Devices For Mobile Cloudmentioning

confidence: 99%

Enabling actionable analytics for mobile devices: performance issues of distributed analytics on Hadoop mobile clusters

Lee

Grover

Lim

2013

Journal of Cloud Computing: Advances, Systems and Applications

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Significant innovations in mobile technologies are enabling mobile users to make real-time actionable decisions based on balancing opportunities and risks to take coordinated actions with other users in their workplace. This requires a new distributed analytic framework that collects relevant information from internal and external sources, performs real-time distributed analytics, and delivers a critical analysis to any user at any place in a given time frame through the use of mobile devices such as smartphones and tablets. This paper discusses the advantages and challenges of utilizing mobile devices for distributed analytics by showing its feasibility with Hadoop analytic framework.

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Adaptive flow control for TCP on mobile phones

Cited by 9 publications

References 2 publications

Towards a SPDY'ier mobile web?

Towards a SPDY'ier mobile web?

A Control-Theoretic Approach to Rate Adaption for DASH Over Multiple Content Distribution Servers

Enabling actionable analytics for mobile devices: performance issues of distributed analytics on Hadoop mobile clusters

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