We developed “MiSu” an Android and iOS app that allows smart home homeowners to share their devices (e.g., Ring doorbell, security alarm, smart door lock, smart light bulb) with people outside of their home to control what, when, and how they can engage with the smart devices. MiSu provides options for fine-grain access control, the ability for guests to control smart homes using their own device and login, and provides homeowners real-time logs where they can view all actions taken by guests invited to interact with their smart homes.
more »
« less
Mi Casa es Su Casa (“MiSu”): A Mobile App for Sharing Smart Home Devices with People Outside The Home
- Award ID(s):
- 1814068
- PAR ID:
- 10386624
- Date Published:
- Journal Name:
- Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2022)
- Page Range / eLocation ID:
- 184 to 187
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Biscarat, C.; Campana, S.; Hegner, B.; Roiser, S.; Rovelli, C.I.; Stewart, G.A. (Ed.)Data analysis in HEP has often relied on batch systems and event loops; users are given a non-interactive interface to computing resources and consider data event-by-event. The “Coffea-casa” prototype analysis facility is an effort to provide users with alternate mechanisms to access computing resources and enable new programming paradigms. Instead of the command-line interface and asynchronous batch access, a notebook-based web interface and interactive computing is provided. Instead of writing event loops, the columnbased Coffea library is used. In this paper, we describe the architectural components of the facility, the services offered to end users, and how it integrates into a larger ecosystem for data access and authentication.more » « less
-
De_Vita, R; Espinal, X; Laycock, P; Shadura, O (Ed.)The large data volumes expected from the High Luminosity LHC (HL-LHC) present challenges to existing paradigms and facilities for end-user data analysis. Modern cyberinfrastructure tools provide a diverse set of services that can be composed into a system that provides physicists with powerful tools that give them straightforward access to large computing resources, with low barriers to entry. The Coffea-Casa analysis facility (AF) provides an environment for end users enabling the execution of increasingly complex analyses such as those demonstrated by the Analysis Grand Challenge (AGC) and capturing the features that physicists will need for the HL-LHC. We describe the development progress of the Coffea-Casa facility featuring its modularity while demonstrating the ability to port and customize the facility software stack to other locations. The facility also facilitates the support of batch systems while staying Kubernetes-native. We present the evolved architecture of the facility, such as the integration of advanced data delivery services (e.g. ServiceX) and making data caching services (e.g. XCache) available to end users of the facility. We also highlight the composability of modern cyberinfrastructure tools. To enable machine learning pipelines at coffee-casa analysis facilities, a set of industry ML solutions adopted for HEP columnar analysis were integrated on top of existing facility services. These services also feature transparent access for user workflows to GPUs available at a facility via inference servers while using Kubernetes as enabling technology.more » « less
An official website of the United States government

