The energy efficiency of mobile applications has been a highly tackled research problem within the last years. Many research groups have focused on optimizing the hardware of mobile devices, as well as their middleware and applications, increasing both the devices' uptime and their users' satisfaction. However, only scarce work has analyzed whether users notice and care about energy-efficiency problems in mobile applications. Thus, in this paper, we address these questions by evaluating a large set of user comments extracted from the Google Play market place for Android applications. We analyze more than 9 million user comments and show that more than 18% of all commented applications have comments complaining about energy consumption. Besides, we identify major causes for the inefficiency of many mobile applications.
Abstract. Aside from business processes, the service-oriented approach -currently realized with Web services and BPEL-should be utilizable for data-intensive applications as well. Fundamentally, data-intensive applications are characterized by (i) a sequence of functional operations processing large amounts of data and (ii) the delivery and transformation of huge data sets between those functional activities. However, for the efficient handling of massive data sets, a significant amount of data infrastructure is required and the predefined 'by value' data semantic within the invocation of Web services and BPEL is not well suited for this context. To tackle this problem on the BPEL level, we developed a seamless extension to BPEL-the 'BPEL data transitions.'
As mobile devices are nowadays used regularly and everywhere, their energy consumption has become a central concern. However, today's mobile applications often do not consider energy requirements and users lack information on their energy consumption before they install and try them. In this paper, we compare mobile applications from two domains and show that they reveal different energy consumption while providing similar services. We define microbenchmarks for emailing and web browsing and evaluate apps from these domains. We show that non-functional features such as web page caching can but not have to have a positive influence on an application's energy consumption.
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