@booklet {19456,
	title = {Making infrastructure visible: a case study of home networking},
	year = {2011},
	month = {2011/06/24/},
	abstract = {In this dissertation, I examine how making infrastructure visible affects users{\textquoteright} engagement with that infrastructure, through the case study of home networking. I present empirical evidence of the visibility issues that home networks present to users and how these results informed the design of a prototype called Kermit to visualize aspects of the home network. Through my implementation and evaluation of Kermit, I derive implications for making infrastructure visible in ways that enable end-users to manage and understand the systems they use everyday. I conclude with suggestions for future work for making home networks, and infrastructure more generally, more visible.},
	keywords = {Home computer networks, home networking, Human computer interaction, Human-computer interaction, infrastructure, Inspectability, Local area networks (Computer networks), visibility},
	doi = {Dissertation},
	url = {https://smartech.gatech.edu/handle/1853/41152},
	author = {Marshini Chetty}
}
@conference {19444,
	title = {Contemporary domestic infrastructures and technology design},
	booktitle = {SIGCHI EA {\textquoteright}09},
	series = {CHI EA {\textquoteright}09},
	year = {2009},
	month = {2009///},
	pages = {3109 - 3112},
	publisher = {ACM},
	organization = {ACM},
	abstract = {In this proposal, I describe my examination of two contemporary domestic infrastructures. Specifically, I am investigating whether we need to surface more information about these systems to make them intelligible to end-users. I describe my empirical research to date and the design of two technology probes which I will use to learn more how home infrastructure affects domestic technology design.},
	keywords = {Home, home networks, infrastructure, resource delivery systems},
	isbn = {978-1-60558-247-4},
	url = {http://doi.acm.org/10.1145/1520340.1520439},
	author = {Marshini Chetty}
}
@inbook {19453,
	title = {How Smart Homes Learn: The Evolution of the Networked Home and Household},
	booktitle = {UbiComp 2007: Ubiquitous Computing},
	series = {Lecture Notes in Computer Science},
	year = {2007},
	month = {2007/01/01/},
	pages = {127 - 144},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {Despite a growing desire to create smart homes, we know little about how networked technologies interact with a house{\textquoteright}s infrastructure. In this paper, we begin to close this gap by presenting findings from a study that examined the relationship between home networking and the house itself{\textemdash}and the work that results for householders as a consequence of this interaction. We discuss four themes that emerged: an ambiguity in understanding the virtual boundaries created by wireless networks, the home network control paradox, a new home network access paradox, and the relationship between increased responsibilities and the possibilities of wireless networking.},
	keywords = {Computer Communication Networks, computers and society, home networking, Information Systems Applications (incl.Internet), infrastructure, smart home, software engineering, Systems and Data Security, User Interfaces and Human Computer Interaction},
	isbn = {978-3-540-74852-6, 978-3-540-74853-3},
	url = {http://link.springer.com/chapter/10.1007/978-3-540-74853-3_8},
	author = {Marshini Chetty and Sung, Ja-Young and Grinter, Rebecca E.},
	editor = {Krumm, John and Abowd, Gregory D. and Seneviratne, Aruna and Strang, Thomas}
}
@conference {17880,
	title = {Optimizing retrieval and processing of multi-dimensional scientific datasets},
	booktitle = {Parallel and Distributed Processing Symposium, 2000. IPDPS 2000. Proceedings. 14th International},
	year = {2000},
	month = {2000///},
	pages = {405 - 410},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We have developed the Active Data Repository (ADR), an infrastructure that integrates storage, retrieval, and processing of large multi-dimensional scientific datasets on distributed memory parallel machines with multiple disks attached to each node. In earlier work, we proposed three strategies for processing range queries within the ADR framework. Our experimental results show that the relative performance of the strategies changes under varying application characteristics and machine configurations. In this work we investigate approaches to guide and automate the selection of the best strategy for a given application and machine configuration. We describe analytical models to predict the relative performance of the strategies where input data elements are uniformly distributed in the attribute space of the output dataset, restricting the output dataset to be a regular d-dimensional array},
	keywords = {active data repository, Area measurement, Computer science, Data analysis, distributed memory parallel machines, Educational institutions, Information retrieval, Information Storage and Retrieval, infrastructure, Microscopy, Microwave integrated circuits, multi-dimensional scientific datasets retrieval, PARALLEL PROCESSING, Pathology, range queries, regular d-dimensional array, Satellites, Tomography},
	isbn = {0-7695-0574-0},
	doi = {10.1109/IPDPS.2000.846013},
	author = {Chang,Chialin and Kurc, T. and Sussman, Alan and Saltz, J.}
}
