P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic Web data. In Proceedings of the Tenth International World Wide Web Conference, Hong Kong, China, May 2001. Home/Search Document Details and Download
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Energy Efficient Communication for Reliability and .. - Pereira, Gupta.. (Correct)
....approximations are stored at the receiver end, supplied as guarantees by the producer. Our work differs in employing a general model of approximate replication which considers temporal latency and combines data compression and prediction. The adaptation problem was also studied by Deolasee et al. [5] for web data. Chen et al. 3] propose to perform on line regression analysis over time series data streams. We also propose to fit models to time series, but once again our motivation is to improve system performance, rather than regression analysis. A useful extension to our work would be to ....
P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: disseminating dynamic web data. In International World Wide Web conference on World Wide Web , 2001.
Capturing Sensor-Generated Time Series with Quality Guarantees - Lazaridis, Mehrotra (2003) (10 citations) (Correct)
....a general model of approximate replication which considers temporal latency and combines compression and prediction. 22] proposes an algorithm for adaptively setting the interval width; this can also be used to adaptively set pred . The adaptation problem was also studied by Deolasee et al. [10] for web data. Sensor databases have recently been the center of much research in the database community e.g. in the Cougar [3] and Telegraph [20] projects. These efforts aim to create technology that will enable the creation of databases where sensors can be accommodated, taking into account ....
P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: disseminating dynamic web data. In The tenth international World Wide Web conference on World Wide Web, pages 265--274. ACM Press, 2001.
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....files to multiple clients may be reduced with multicast [NB97, Lia97, TH98] Clients execute predictions by prefetching objects [PM96, LD97] or by retaining objects in the cache. Client side execution allows the client to effectively manage its resources. A combination of push and pull [DKP01] can accommodate reduce the burden on the server while maximizing the freshness of the 69 object. Proxy caches [JC98] may behave as clients or servers, combining the benefits of each. 4.1.3 Intermediate Agents Intermediate agents are distributors that may act in place of producers. They can ....
Deolasee, P., Katkar, A., Panchbudhe, A., Ramamritham, K., and Shenoy, P., "Adaptive Push-Pull: Disseminating Dynamic Web Data", in Proceedings of the Tenth International WWW Conference, Hong Kong, China, May 2001, pp. 265-274.
Dynamically Selecting Optimal Distribution Strategies.. - Pierre, van Steen.. (2002) (6 citations) (Correct)
....adapt the way updates are propagated. For example, the adaptive leases described in [11] provide a way for switching from a protocol in which updates are pushed to replicas, to one in which updates are pulled in on demand. Combinations of push and pull strategies are also possible, as described in [10]. Related to our work are systems that dynamically decide on the placement of replicas. Examples of such systems in the Web are content delivery networks like RaDaR [32] and Akamai [20] These systems adapt the number and location of document copies to provide copies close to the users locations ....
Pavan Deolasee, Amol Katkar, Ankur Panchbudhe, Krithi Ramamritham, and Prashant Shenoy, Adaptive push-pull: Disseminating dynamic Web data, Proceedings of the 10th International WWW Conference (Hong Kong), May 2001, pp. 265-274.
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P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: disseminating dynamic web data. In World Wide Web, pages 265--274, 2001.
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P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: disseminating dynamic web data. In World Wide Web, pages 265--274, 2001.
Adaptive Push-Pull: Disseminating Dynamic Web Data - Deolasee, Katkar.. (22 citations) Self-citation (Deolasee Katkar Panchbudhe Ramamritham Shenoy) (Correct)
....our algorithms into a prototype server and a proxy. We demonstrate the efficacy of our approaches via simulations and an experimental evaluation. Complete source code for our prototype implementation and the simulator as well as the data used in our experiments is available from our web site[11]. Table 1 summarizes the properties of our PaP and PoP algorithms vis a vis the canonical push and pull approaches. The semantics of most of the entries in the table are self evident even though the reason behind the stated properties of PaP and PoP will be clear only after they are described ....
....server improves the average scalability offered by the system. Together, these arguments motivate the properties of PoPoPaP mentioned in Table 1: by adaptively choosing pull or PaP for its clients, PoPoPaP can be designed to achieve the desired temporal coherency, scalability desired for a system[11]. 6. RELATED WORK Several research efforts have investigated the design of pushbased and pull based dissemination protocols from the server to the proxy, on the one hand, and the proxy to the client, on the 272 other. Push based techniques that have been recently developed include broadcast ....
P. Deolasee, A. Katkar. A. Panchbudhe, K. Ramamritham, and P. Shenoy, Adaptive Push-Pull: Disseminating Dynamic Web Data: Complete Report, code, and traces, http://www.cse.iitb.ernet.in/krithi/dynamic.html.
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P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic Web data. In Proceedings of the Tenth International World Wide Web Conference, Hong Kong, China, May 2001.
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P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic Web data. In Proceedings of the Tenth International World Wide Web Conference, Hong Kong, China, May 2001.
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P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic Web data. In Proceedings of the Tenth International World Wide Web Conference, Hong Kong, China, May 2001.
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P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic Web data. In Proceedings of the Tenth International World Wide Web Conference, Hong Kong, China, May 2001.
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P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic web data. In Proceedings of the 10th International World Wide Web Conference, pages 265--274, Hong Kong, China, May 2001.
Adaptive Pull-Based Data Freshness Policies for Diverse.. - Bright, Gal, Raschid (Correct)
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P. Deolasee, A. Katkar, P.Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic web data. Proc. 10th WWW Conf., 2001.
Caching Support for Push-Pull Data Dissemination Using.. - Ari, Miller (Correct)
No context found.
P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic web data. In Proceedings of the 10th International World Wide Web Conference, pages 265--274, Hong Kong, China, May 2001.
Capturing Sensor-Generated Time Series with Quality Guarantees - Lazaridis, Mehrotra (2003) (10 citations) (Correct)
No context found.
P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: disseminating dynamic web data. In The tenth international World Wide Web conference on World Wide Web, pages 265--274. ACM Press, 2001.
Best-Effort Cache Synchronization with Source Cooperation - Olston, Widom (2002) (14 citations) (Correct)
No context found.
P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic Web data. In Proceedings of the Tenth International World Wide Web Conference, Hong Kong, China, May 2001.
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