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Dive into the research topics where Paul M. Aoki is active.

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Featured researches published by Paul M. Aoki.


very large data bases | 1996

Mariposa: a wide-area distributed database system

Michael Stonebraker; Paul M. Aoki; Witold Litwin; Avi Pfeffer; Adam Sah; Jeff Sidell; Carl Staelin; Andrew Yu

Abstract. The requirements of wide-area distributed database systems differ dramatically from those of local-area network systems. In a wide-area network (WAN) configuration, individual sites usually report to different system administrators, have different access and charging algorithms, install site-specific data type extensions, and have different constraints on servicing remote requests. Typical of the last point are production transaction environments, which are fully engaged during normal business hours, and cannot take on additional load. Finally, there may be many sites participating in a WAN distributed DBMS. In this world, a single program performing global query optimization using a cost-based optimizer will not work well. Cost-based optimization does not respond well to site-specific type extension, access constraints, charging algorithms, and time-of-day constraints. Furthermore, traditional cost-based distributed optimizers do not scale well to a large number of possible processing sites. Since traditional distributed DBMSs have all used cost-based optimizers, they are not appropriate in a WAN environment, and a new architecture is required. We have proposed and implemented an economic paradigm as the solution to these issues in a new distributed DBMS called Mariposa. In this paper, we present the architecture and implementation of Mariposa and discuss early feedback on its operating characteristics.


conference on computer supported cooperative work | 2002

Revisiting the visit:: understanding how technology can shape the museum visit

Rebecca E. Grinter; Paul M. Aoki; Margaret H. Szymanski; James D. Thornton; Allison Woodruff; Amy Hurst

This paper reports findings from a study of how a guidebook was used by pairs of visitors touring a historic house. We describe how the guidebook was incorporated into their visit in four ways: shared listening, independent use, following one another, and checking in on each other. We discuss how individual and groupware features were adopted in support of different visiting experiences, and illustrate how that adoption was influenced by social relationships, the nature of the current visit, and any museum visiting strategies that the couples had. Finally, we describe how the guidebook facilitated awareness between couples, and how awareness of non-guidebook users (strangers) influenced use.


human factors in computing systems | 2005

Making space for stories: ambiguity in the design of personal communication systems

Paul M. Aoki; Allison Woodruff

Pervasive personal communication technologies offer the potential for important social benefits for individual users, but also the potential for significant social difficulties and costs. In research on face-to-face social interaction, ambiguity is often identified as an important resource for resolving social difficulties. In this paper, we discuss two design cases of personal communication systems, one based on fieldwork of a commercial system and another based on an unrealized design concept. The cases illustrate how user behavior concerning a particular social difficulty, unexplained unresponsiveness, can be influenced by technological issues that result in interactional ambiguity. The cases also highlight the need to balance the utility of ambiguity against the utility of usability and communicative clarity.


international world wide web conferences | 1996

An investigation of documents from the World Wide Web

Allison Woodruff; Paul M. Aoki; Eric A. Brewer; Paul Gauthier

Abstract We report on our examination of pages from the World Wide Web. We have analyzed data collected by the Inktomi Web crawler (this data currently comprises over 2.6 million HTML documents). We have examined many characteristics of these documents, including: document size; number and types of tags, attributes, file extensions, protocols, and ports; the number of in-links; and the ratio of document size to the number of tags and attributes. For a more limited set of documents, we have examined the following: the number and types of syntax errors and readability scores. These data have been aggregated to create a number of ranked lists, e.g., the ten most-used tags, the ten most common HTML errors.


international conference on data engineering | 1994

Mariposa: a new architecture for distributed data

Michael Stonebraker; Paul M. Aoki; Robert Devine; Witold Litwin; Michael A. Olson

We describe the design of Mariposa, an experimental distributed data management system that provides high performance in an environment of high data mobility and heterogeneous host capabilities. The Mariposa design unifies the approaches taken by distributed file systems and distributed databases. In addition, Mariposa provides a general, flexible platform for the development of new algorithms for distributed query optimization, storage management, and scalable data storage structures. This flexibility is primarily due to a unique rule-based design that permits autonomous, local-knowledge decisions to be made regarding data placement, query execution location, and storage management.<<ETX>>


international conference on pervasive computing | 2010

Common sense community: scaffolding mobile sensing and analysis for novice users

Wesley Willett; Paul M. Aoki; Neil Kumar; Sushmita Subramanian; Allison Woodruff

As sensing technologies become increasingly distributed and democratized, citizens and novice users are becoming responsible for the kinds of data collection and analysis that have traditionally been the purview of professional scientists and analysts. Leveraging this citizen engagement effectively, however, requires not only tools for sensing and data collection but also mechanisms for understanding and utilizing input from both novice and expert stakeholders. When successful, this process can result in actionable findings that leverage and engage community members and build on their experiences and observations. We explored this process of knowledge production through several dozen interviews with novice community members, scientists, and regulators as part of the design of a mobile air quality monitoring system. From these interviews, we derived design principles and a framework for describing data collection and knowledge generation in citizen science settings, culminating in the user-centered design of a system for community analysis of air quality data. Unlike prior systems, ours breaks analysis tasks into discrete mini-applications designed to facilitate and scaffold novice contributions. An evaluation we conducted with community members in an area with air quality concerns indicates that these mini-applications help participants identify relevant phenomena and generate local knowledge contributions.


international conference on data engineering | 1996

Data replication in Mariposa

Jeff Sidell; Paul M. Aoki; Adam Sah; Carl Staelin; Michael Stonebraker; Andrew Yu

The Mariposa distributed data manager uses an economic model for managing the allocation of both storage objects and queries to servers. We present extensions to the economic model which support replica management, as well as our mechanisms for propagating updates among replicas. We show how our replica control mechanism can be used to provide consistent, although potentially stale, views of data across many machines without expensive per-transaction synchronization. We present a rule-based conflict resolution mechanism, which can be used to enhance traditional time-stamp serialization. We discuss the effects of our replica system on query processing for both read-only and read-write queries. We further demonstrate how the replication model and mechanisms naturally support name service in Mariposa.


human factors in computing systems | 2003

The mad hatter's cocktail party: a social mobile audio space supporting multiple simultaneous conversations

Paul M. Aoki; Matthew Romaine; Margaret H. Szymanski; James D. Thornton; Daniel H. Wilson; Allison Woodruff

This paper presents a mobile audio space intended for use by gelled social groups. In face-to-face interactions in such social groups, conversational floors change frequently, e.g., two participants split off to form a new conversational floor, a participant moves from one conversational floor to another, etc. To date, audio spaces have provided little support for such dynamic regroupings of participants, either requiring that the participants explicitly specify with whom they wish to talk or simply presenting all participants as though they are in a single floor. By contrast, the audio space described here monitors participant behavior to identify conversational floors as they emerge. The system dynamically modifies the audio delivered to each participant to enhance the salience of the participants with whom they are currently conversing. We report a user study of the system, focusing on conversation analytic results.


human factors in computing systems | 2008

Asynchronous remote medical consultation for Ghana

Rowena Luk; Melissa Ho; Paul M. Aoki

Computer-mediated communication systems can be used to bridge the gap between doctors in underserved regions with local shortages of medical expertise and medical specialists worldwide. To this end, we describe the design of a prototype remote consultation system intended to provide the social, institutional and infrastructural context for sustained, self-organizing growth of a globally-distributed Ghanaian medical community. The design is grounded in an iterative design process that included two rounds of extended design fieldwork throughout Ghana and draws on three key design principles (social networks as a framework on which to build incentives within a self-organizing network; optional and incremental integration with existing referral mechanisms; and a weakly-connected, distributed architecture that allows for a highly interactive, responsive system despite failures in connectivity). We discuss initial experiences from an ongoing trial deployment in southern Ghana.


designing interactive systems | 2000

Improving electronic guidebook interfaces using a task-oriented design approach

Paul M. Aoki; Allison Woodruff

Item selection is a key problem in electronic guidebook design. Many systems do not apply so-called context-awareness technologies to infer user interest, placing the entire burden of selection on the user. Conversely, to make selection easier, many systems automatically eliminate information that they infer is not of interest to the user. However, such systems often eliminate too much information, preventing the user from finding what they want. To realize the full potential of electronic guidebooks, designers must strike the right balance between automatic context-based inference and manual selection. In this paper, we introduce a task-oriented model of item selection for electronic guidebooks to help designers explore this continuum. We argue that item selection contains three sub-tasks and that these sub-tasks should be considered explicitly in system design. We apply our model to existing systems, demonstrating pitfalls of combining sub-tasks, and discuss how our model has improved the design of our own guidebook prototype.

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Amy Hurst

Carnegie Mellon University

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Daniel H. Wilson

Carnegie Mellon University

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Michael Stonebraker

Massachusetts Institute of Technology

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Daniel H. Wilson

Carnegie Mellon University

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Melissa Ho

University of California

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Rowena Luk

University of California

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