• Publications
  • Influence
A close examination of performance and power characteristics of 4G LTE networks
TLDR
This paper develops the first empirically derived comprehensive power model of a commercial LTE network with less than 6% error rate and state transitions matching the specifications, and identifies that the performance bottleneck for web-based applications lies less in the network, compared to the previous study in 3G. Expand
Accurate, scalable in-network identification of p2p traffic using application signatures
TLDR
This paper first identifies the application level signatures by examining some available documentations, and packet-level traces, and utilizes the identified signatures to develop online filters that can efficiently and accurately track the P2P traffic even on high-speed network links. Expand
Sketch-based change detection: methods, evaluation, and applications
TLDR
This work designs a variant of the sketch data structure, k-ary sketch, which uses a constant, small amount of memory, and has constant per-record update and reconstruction cost, and enables it to summarize traffic at various levels and detects significant changes by looking for flows with large forecast errors. Expand
An in-depth study of LTE: effect of network protocol and application behavior on performance
TLDR
It is observed that LTE has significantly shorter state promotion delays and lower RTTs than those of 3G networks, and various inefficiencies in TCP over LTE such as undesired slow start and limited TCP receive window are discovered. Expand
ACAS: automated construction of application signatures
TLDR
This paper applies three statistical machine learning algorithms to automatically identify signatures for a range of applications and finds that this approach is highly accurate and scales to allow online application identification on high speed links. Expand
Analyzing peer-to-peer traffic across large networks
TLDR
The high volume and good stability properties of P2P traffic suggests that the P1P workload is a good candidate for being managed via application-specific layer-3 traffic engineering in an ISP's network. Expand
Characterizing radio resource allocation for 3G networks
TLDR
This work is the first to accurately infer, for any UMTS network, the state machine that guides the radio resource allocation policy through a light-weight probing scheme, and explores the optimal state machine settings in terms of several critical timer values evaluated using real network traces. Expand
Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification
TLDR
It is argued that measurement based automated Class of Service (CoS) mapping is an important practical problem that needs to be studied, and a solution framework for measurement based classification of traffic for QoS based on statistical application signatures is outlined. Expand
Profiling resource usage for mobile applications: a cross-layer approach
TLDR
ARO, the mobile Application Resource Optimizer, is the first tool that efficiently and accurately exposes the cross-layer interaction among various layers including radio resource channel state, transport layer, application layer, and the user interaction layer to enable the discovery of inefficient resource usage for smartphone applications. Expand
Proxy prefix caching for multimedia streams
TLDR
This work proposes a prefix caching technique whereby a proxy stores the initial frames of popular clips, and describes how to construct a smooth transmission schedule, based on the size of the prefix, smoothing, and playback buffers, without increasing client playback delay. Expand
...
1
2
3
4
5
...