Navigation-Aware and Personalized Prefetching of Network Requests in Android Apps

Abstract

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A Survey of Performance Optimization for Mobile Applications

“…Furthermore, changes that have been applied to mobile applications' source code include the removal of bad programming patterns (antipatterns), and the usage of good programming practices (e.g., concurrency with the help of refactoring [81], [83], [82], and prefetching of content [85], [86], [87], [88]). Other than changing source code after responsiveness issues have been detected, a carefully considered choice of the right programming language can lead to improvements (e.g., native C/C++ is faster when executed on CPUs [89], [90], [91], [92]).…”

“…For a high responsiveness of mobile applications, developers apply several categories of optimization approaches. In the [68] 2011 EuroSys Ra et al [69] 2011 MobiSys Kosta et al [70] 2012 INFOCOM Gordon et al [71] 2012 OSDI Gordon et al [72] 2015 MobiSys Das et al [46] 2016 IACC Montella et al [73] 2017 CCPE Chen and Hao [74] 2018 J-Sac Antipatterns Jin et al [75] 2012 SIGPLAN Yang et al [53] 2013 MOBS Nistor et al [76] 2013 ICSE Liu et al [13] 2014 ICSE Ongkosit and Takada [77] 2014 DeMobile Hecht et al [78] 2015 ASE Habchi et al [79] 2018 ASE Hecht et al [51] 2016 MobileSoft Li et al [80] 2019 SANER Refactoring Lin et al [81] 2014 FSE Okur et al [82] 2014 ICSE Lin et al [83] 2015 ASE Lyu et al [47] 2018 ISSTA Feng et al [84] 2019 ICSTW Prefetching Higgins et al [85] 2012 MobiSys Zhao et al [86] 2018 ICSE Choi et al [87] 2018 CoNEXT Malavolta et al [88] 2019 ICSE-NIER Programming languages Batyuk et al [89] 2009 MobileWare Lee and Jeon [90] 2010 ICCAS Lee and Lee [91] 2011 iCast Lin et al [92] 2011 IBICA Saborido et al [45] 2018 EMSE CPU & GPU Wang et al [93] 2013 CGO Cheng et al [94] 2013 IWSSIP Thongkaew et al [95] 2015 JIP I/O operations Nguyen et al [50] 2015 MobiSys Mao et al [96] 2018 ITCSDI…”

“…As static analysis lacks certain information, missing information of HTTP(s) requests is added at runtime. Lastly, Malavolta et al [88] proposed a technique called NAPPA that prefetches network requests based on user navigation patterns.…”

Marauder

“…Given the importance of mobile app performance, much work has been devoted to improving their responsiveness [8,9,11,21,24,31,37,61]. Yet, apps continue to underperform in practice, delivering median response times of 2.9 seconds even on state-of-the-art phones and LTE networks ( §3.2).…”

“…Instead, owing to the large variance in the rate at which a given resource's content varies over time, developers typically opt for conservative (i.e., low) time-to-live values (TTLs) to fully retain control of content changes and prevent the loading of stale content. • Prefetching systems [8,9,24,31,37,61] aim to predict future user interactions and download the required content ahead of time for storage in the client cache. The drawbacks of prefetching are well-documented [44,50], and largely stem from the difficulty in predicting precisely what interactions users will make, when, and what resources will be required.…”