Timecard: controlling user-perceived delays in server-based mobile applications
Providing consistent response times to users of mobile applications is challenging because there are several variable delays between the start of a user's request and the completion of the response. These delays include location lookup, sensor data acquisition, radio wake-up, network transmissi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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ACM
2021
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| Online Access: | https://hdl.handle.net/1721.1/137388 |
| _version_ | 1826212153857671168 |
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| author | Ravindranath, Lenin Padhye, Jitendra Mahajan, Ratul Balakrishnan, Hari |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Ravindranath, Lenin Padhye, Jitendra Mahajan, Ratul Balakrishnan, Hari |
| author_sort | Ravindranath, Lenin |
| collection | MIT |
| description | Providing consistent response times to users of mobile applications is challenging because there are several variable delays between the start of a user's request and the completion of the response. These delays include location lookup, sensor data acquisition, radio wake-up, network transmissions, and processing on both the client and server. To allow applications to achieve consistent response times in the face of these variable delays, this paper presents the design, implementation, and evaluation of the Timecard system. Timecard provides two abstractions: the first returns the time elapsed since the user started the request, and the second returns an estimate of the time it would take to transmit the response from the server to the client and process the response at the client. With these abstractions, the server can adapt its processing time to control the end-to-end delay for the request. Implementing these abstractions requires Timecard to track delays across multiple asynchronous activities, handle time skew between client and server, and estimate network transfer times. Experiments with Timecard incorporated into two mobile applications show that the end-to-end delay is within 50 ms of the target delay of 1200 ms over 90% of the time. © 2013 ACM. |
| first_indexed | 2024-09-23T15:17:13Z |
| format | Article |
| id | mit-1721.1/137388 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:17:13Z |
| publishDate | 2021 |
| publisher | ACM |
| record_format | dspace |
| spelling | mit-1721.1/1373882023-04-19T20:43:17Z Timecard: controlling user-perceived delays in server-based mobile applications Ravindranath, Lenin Padhye, Jitendra Mahajan, Ratul Balakrishnan, Hari Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Providing consistent response times to users of mobile applications is challenging because there are several variable delays between the start of a user's request and the completion of the response. These delays include location lookup, sensor data acquisition, radio wake-up, network transmissions, and processing on both the client and server. To allow applications to achieve consistent response times in the face of these variable delays, this paper presents the design, implementation, and evaluation of the Timecard system. Timecard provides two abstractions: the first returns the time elapsed since the user started the request, and the second returns an estimate of the time it would take to transmit the response from the server to the client and process the response at the client. With these abstractions, the server can adapt its processing time to control the end-to-end delay for the request. Implementing these abstractions requires Timecard to track delays across multiple asynchronous activities, handle time skew between client and server, and estimate network transfer times. Experiments with Timecard incorporated into two mobile applications show that the end-to-end delay is within 50 ms of the target delay of 1200 ms over 90% of the time. © 2013 ACM. 2021-11-04T18:32:55Z 2021-11-04T18:32:55Z 2013-11-03 2019-05-02T17:45:17Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137388 Ravindranath, Lenin, Padhye, Jitendra, Mahajan, Ratul and Balakrishnan, Hari. 2013. "Timecard: controlling user-perceived delays in server-based mobile applications." en 10.1145/2517349.2522717 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf ACM MIT web domain |
| spellingShingle | Ravindranath, Lenin Padhye, Jitendra Mahajan, Ratul Balakrishnan, Hari Timecard: controlling user-perceived delays in server-based mobile applications |
| title | Timecard: controlling user-perceived delays in server-based mobile applications |
| title_full | Timecard: controlling user-perceived delays in server-based mobile applications |
| title_fullStr | Timecard: controlling user-perceived delays in server-based mobile applications |
| title_full_unstemmed | Timecard: controlling user-perceived delays in server-based mobile applications |
| title_short | Timecard: controlling user-perceived delays in server-based mobile applications |
| title_sort | timecard controlling user perceived delays in server based mobile applications |
| url | https://hdl.handle.net/1721.1/137388 |
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