Browse Dept. of Computer Science by Author "Ganti, Raghu K."

  • Jayachandran, Praveen; Ganti, Raghu K.; Gupta, Indranil; Abdelzaher, Tarek F. (2006-11)
    Sensor networks pose the challenge of distribution of content generated within the network to the origins of requests for this content in an efficient and timely manner. In this paper, we formulate this multiple-source ...

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  • Pham, Nam D.; Ganti, Raghu K.; Nangia, Saurabh; Pongthawornkamol, Thadpong; Ahmed, Shameem; Abdelzaher, Tarek F.; Heo, Jin; Khan, Maifi; Ahmadi, Hossein (2009-10-08)
    This report presents a participatory sensing service, called Fueoogle, that maps vehicular fuel consumption on city streets, allowing drivers to find the most fuel-efficient routes for their vehicles between arbitrary ...

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  • Ganti, Raghu K. (2011-01-14)
    The availability of a wide variety of networked sensing devices in the form of everyday devices such as smartphones, music players, smart residential power meters, sensor embedded gaming systems, and in- vehicle sensing ...

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  • Wang, Dong; Abdelzaher, Tarek F.; Kaplan, Lance; Ganti, Raghu K.; Hu, Shaohan; Liu, Hengchang (2014-04-23)
    Correctness guarantees are at the core of cyber-physical computing research. While prior research addressed correctness of timing behavior and correctness of program logic, this paper tackles the emerging topic of assessing ...

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  • Amin, Md Tanvir Al; Li, Shen; Rahman, Muntasir Raihan; Seetharamu, Panindra Tumkur; Wang, Shiguang; Abdelzaher, Tarek F.; Gupta, Indranil; Srivatsa, Mudhakar; Ganti, Raghu K.; Ahmed, Reaz; Le, Hieu (2015-02-03)
    The increasing availability of smartphones, cameras, and wearables with instant data sharing capabilities, and the exploitation of social networks for information broadcast, heralds a future of real-time information overload. ...

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  • Wang, Dong; Amin, Md Tanvir Al; Li, Shen; Kaplan, Lance; Gu, Siyu; Pan, Chenji; Liu, Hengchang; Aggarwal, Charu; Ganti, Raghu K.; Wang, Xinlei; Mohapatra, Prasant; Szymanski,Boleslaw; Le, Hieu; Abdelzaher, Tarek F. (ACM/IEEE-CS, 2014)
    The explosive growth in social network content suggests that the largest "sensor network" yet might be human. Extending the participatory sensing model, this paper explores the prospect of utilizing social networks as ...

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