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dc.contributor.author Aggarwal, Aniya
dc.contributor.author Purandare, Rahul (Advisor)
dc.date.accessioned 2014-12-12T07:03:54Z
dc.date.available 2014-12-12T07:03:54Z
dc.date.issued 2014-12-12T07:03:54Z
dc.identifier.uri https://repository.iiitd.edu.in/jspui/handle/123456789/204
dc.description.abstract Each Android application (app) runs in its own virtual machine (VM), with every VM allocated a limited heap size for creating new objects. The heap size is scarce and device dependent. The more heap space an app uses, the more work the garbage collector (GC) would have; the more work the GC has, the bigger is the pause time for collection of un-referenced objects. To avoid frequent garbage collection, the objects should be allocated wisely. In this work, we propose a tool called SOS to help the developers to control and reuse memory allocated to objects on the heap. In this work, we target objects allocated in loops and identify them by leveraging static program analysis techniques. With the intention to reuse the heap space allocated to these objects, we further perform program transformation. As a case study, we take Android apps and manifest the benefits that SOS can provide in terms of reduction in pause times and reduction in heap space used. We show the trends in pause times, number of GC invocations and heap space freed, as a function of number of temporary objects. en_US
dc.language.iso en_US en_US
dc.subject Android en_US
dc.subject Escape Analysis en_US
dc.subject Memory Optimization en_US
dc.subject Garbage Collection en_US
dc.subject Loops en_US
dc.subject Heap en_US
dc.subject Static analysis en_US
dc.title SOS : save our object space en_US
dc.type Thesis en_US


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