Research Article
Collaborating with executable content across space and time
@ARTICLE{10.4108/cc.1.1.e8, author={Mahadev Satyanarayanan and Vasanth Bala and Gloriana St. Clair and Erika Linke}, title={Collaborating with executable content across space and time}, journal={EAI Endorsed Transactions on Collaborative Computing}, volume={1}, number={1}, publisher={ICST}, journal_a={CC}, year={2014}, month={6}, keywords={virtual machine monitors, file systems, operating systems, open source software, archival storage}, doi={10.4108/cc.1.1.e8} }
- Mahadev Satyanarayanan
Vasanth Bala
Gloriana St. Clair
Erika Linke
Year: 2014
Collaborating with executable content across space and time
CC
ICST
DOI: 10.4108/cc.1.1.e8
Abstract
Executable content is of growing importance in many domains. How does one share and archive such content at Internet-scale for spatial and temporal collaboration? Spatial collaboration refers to the classic concept of user collaboration: two or more users who are at different Internet locations performing a task using shared context. Temporal collaboration refers to the archiving of context by one user and use of that context by another user, possibly many years or decades later. The term “shared context” has typically meant shared documents or a shared workspace such as a whiteboard. However, executable content forces us to think differently. Just specifying a standardized data format is not sufficient; one has to accurately reproduce computation. We observe that the precise encapsulation of computing state provided by a virtual machine (VM) may help us solve this problem. We can cope with large VM size through a streaming mechanism that demand fetches memory and disk state during execution. Based on our positive initial experience with VMs for archiving execution state, we propose the creation of Olive, an Internet ecosystem of curated VM image collections.
Copyright © 2014 Mahadev Satyanarayanan et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.