Workload characterization: A survey revisited
Workload characterization is a well-established discipline that plays a key role in many
performance engineering studies. The large-scale social behavior inherent in the …
performance engineering studies. The large-scale social behavior inherent in the …
Flywheel:{Google's} Data Compression Proxy for the Mobile Web
V Agababov, M Buettner, V Chudnovsky… - … USENIX Symposium on …, 2015 - usenix.org
Mobile devices are increasingly the dominant Internet access technology. Nevertheless,
high costs, data caps, and throttling are a source of widespread frustration, and a significant …
high costs, data caps, and throttling are a source of widespread frustration, and a significant …
Characterizing smartphone usage patterns from millions of android users
he prevalence of smart devices has promoted the popular-ity of mobile applications (aka
apps) in recent years. A number of interesting and important questions remain unan-swered …
apps) in recent years. A number of interesting and important questions remain unan-swered …
Samples: Self adaptive mining of persistent lexical snippets for classifying mobile application traffic
We present SAMPLES: Self Adaptive Mining of Persistent LExical Snippets; a systematic
framework for classifying network traffic generated by mobile applications. SAMPLES …
framework for classifying network traffic generated by mobile applications. SAMPLES …
Understanding diverse usage patterns from large-scale appstore-service profiles
The prevalence of smart mobile devices has promoted the popularity of mobile applications
(aka apps). Supporting mobility has become a promising trend in software engineering …
(aka apps). Supporting mobility has become a promising trend in software engineering …
Describing patterns and disruptions in large scale mobile app usage data
S Van Canneyt, M Bron, A Haines… - Proceedings of the 26th …, 2017 - dl.acm.org
The advertising industry is seeking to use the unique data provided by the increasing usage
of mobile devices and mobile applications (apps) to improve targeting and the experience …
of mobile devices and mobile applications (apps) to improve targeting and the experience …
Approximate matching of persistent lexicon using search-engines for classifying mobile app traffic
G Ranjan, A Tongaonkar… - IEEE INFOCOM 2016-The …, 2016 - ieeexplore.ieee.org
We present AMPLES, Approximate Matching of Persistent LExicon using Search-Engines, to
address the Mobile-Application-Identification (MApId) problem in network traffic at a per-flow …
address the Mobile-Application-Identification (MApId) problem in network traffic at a per-flow …
Improving application quality using mobile analytics
J Harty - 2023 - oro.open.ac.uk
The purpose of this research is to investigate and report on how mobile analytics can help
real-world developers improve the quality of their apps efficiently and effectively. The …
real-world developers improve the quality of their apps efficiently and effectively. The …
User interaction-based profiling system for android application tuning
Quality improvement in mobile applications should be based on the consideration of several
factors, such as users' diversity in spatio-temporal usage, as well as the device's resource …
factors, such as users' diversity in spatio-temporal usage, as well as the device's resource …
P2P offloading in mobile networks using SDN
The peer-to-peer (P2P) architecture and the mobile network architecture have conflicting
designs. P2P can take advantage of peers being in close proximity to decrease latency …
designs. P2P can take advantage of peers being in close proximity to decrease latency …