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ACM Transactions on Computer Systems (TOCS)
Exploiting weak connectivity for mobile file access
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Rover: a toolkit for mobile information access
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Web server workload characterization: the search for invariants
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Summary of WWW characterizations
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Computer
Reducing the Energy Usage of Office Applications
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
A data repository for fine-grained adaptation in heterogeneous environments
Proceedings of the 3rd ACM international workshop on Data engineering for wireless and mobile access
Collaboration and multimedia authoring on mobile devices
Proceedings of the 1st international conference on Mobile systems, applications and services
Refocusing Multimedia Research on Short Clips
IEEE MultiMedia
Iterative Adaptation for Mobile Clients Using Existing APIs
IEEE Transactions on Parallel and Distributed Systems
NL sampler: random sampling of web documents based on natural language with query hit estimation
Proceedings of the 2007 ACM symposium on Applied computing
Puppeteer: Component-based adaptation for mobile computing
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
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Microsoft Office, the most popular office productivity suite, produces large documents that can result in long download latencies for platforms with limited bandwidth. To reduce latency and improve the user's experience, these documents need to be adapted for transmission on a limited-bandwidth network. To identify opportunities for adaptation, we characterize documents created by three popular applications from the Microsoft Office suite: Word, PowerPoint, and Excel. Our study encompasses over 12,500 documents retrieved from 935 different Web sites. Our main conclusions are: 1) Microsoft Office documents are large and require adaptation on bandwidth-limited clients; 2) embedded objects and images account for the majority of the data in these documents, with image types being the most popular non-text, content, suggesting that adaptation efforts should focus on these elements; 3) compression considerably reduces the sized of these documents; and 4) the internal structure of these documents (pages, slides, or sheets) can be used to download elements on demand and reduce user-perceived latency.