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
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
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
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 …