Throughput-Driven Partitioning of Stream Programs on Heterogeneous Distributed Systems

Nguyen, Vu Thien Nga; Kirner, Raimund

doi:10.1109/tpds.2015.2416726

Cited by 5 publications

(1 citation statement)

References 46 publications

(59 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the development of mobile Internet technology [1][2][3] and large-scale distributed systems [4,5], many new mobile services are being offered by a diverse range of providers [6,7], including traditional service providers and Internet service providers. Communications between users through the data domain over an Internet connection are known as "Over the Top (OTT)" communications.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Evolution of New Mobile Services

Chen

Yao

Jin

et al. 2017

Scientific Programming

View full text Add to dashboard Cite

The emergence and widespread use of mobile Internet technology has led to many different kinds of new mobile communications services, such as WeChat. Users could have more choices when attempting to satisfy their communications needs. The ability to predict the way in which users will use new mobile communications services is extremely valuable to mobile communications service providers. In this work, we propose a method for predicting how a user will use a new mobile service. Our scheme is inspired by the evolutionary game theory. With large-scale real world datasets collected from mobile service providers, we first extract the benefit-related features for users who were starting to use a new mobile service. Then we design our training and prediction methods for predicting potential users. We evaluate our scheme using experiments with large-scale real data. The results show that our approach can predict users' future behavior with satisfying accuracy.

show abstract