Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Anirban Mahanti"'
Publikováno v:
IEEE INTERNET COMPUTING. 22(3):38-47
This article examines some of the potential challenges associated with enabling a seamless web experience on underpowered mobile devices having display capabilities such as Google Glass from the perspective of web content providers, device, and netwo
Autor:
Prasant Mohapatra, Mohamed Ali Kaafar, Anirban Mahanti, Aruna Seneviratne, Suranga Seneviratne
Publikováno v:
ACM Transactions on the Web. 11:1-29
The increased popularity of smartphones has attracted a large number of developers to offer various applications for the different smartphone platforms via the respective app markets. One consequence of this popularity is that the app markets are als
Publikováno v:
IEEE Transactions on Smart Grid. 7:1329-1336
This paper develops a novel energy trading system with a community energy storage (CES) device for demand-side load management within a neighborhood area network. The energy users in the proposed system that have their own photovoltaic power generati
Publikováno v:
IEEE Internet Computing. 20:18-25
Many websites act as relying parties (RPs) by allowing access to their services via third-party identity providers (IDPs), such as Facebook and Google. Using IDPs simplifies account creation, login activity, and information sharing across websites. H
Publikováno v:
Computer Communications. 73:219-228
Popular users tweet slightly earlier than ordinary users during the growth of Twitter eventsPopular users engage with a Twitter event for slightly longer than ordinary usersPopular users write more original tweets than retweets, while the trend is th
Publikováno v:
IEEE Transactions on Smart Grid. 6:1394-1402
Distributed energy generation and storage are widely investigated demand-side management (DSM) technologies that are scalable and integrable with contemporary smart grid systems. However, prior research has mainly focused on day-ahead optimization fo
Publikováno v:
SPME@MobiCom
In this paper, we highlight a potential privacy threat in the current smartphone platforms, which allows any third party to collect a snapshot of installed applications without the user's consent. This can be exploited by third parties to infer vario
Publikováno v:
ACM SIGMOBILE Mobile Computing and Communications Review. 18:1-8
Third party apps are an integral component of the smartphone ecosystem. In this paper, we investigate how user traits can be inferred by observing only a single snapshot of installed apps. Using supervised learning methods and minimal external inform
Autor:
Subhabrata Sen, Anirban Mahanti
Publikováno v:
IEEE Internet Computing. 18:8-11
The ongoing growth in mobile data traffic has sparked the interest of several stakeholders, including users, application developers, network operators, content providers, businesses, and regulatory authorities. Network operators are making significan
Publikováno v:
IEEE Network. 27:59-64
Power-laws are ubiquitous in the Internet and its applications. This tutorial presents a review of power-laws with emphasis on observations from Internet measurements. First, we introduce power-laws and describe two commonly observed power-law distri