{"title":"PerViz: Painkillers for pervasive application debugging","authors":"H. Pham, Justin Mazzola Paluska","doi":"10.1109/PERCOM.2010.5466975","DOIUrl":"https://doi.org/10.1109/PERCOM.2010.5466975","url":null,"abstract":"Debugging pervasive applications is difficult due to their distributed, asynchronous, and dynamic nature. To help ease the debugging process, we propose PerViz, a developer-targeted tool that enhances system visibility through real-time visualizations of system state, semi-automates application restarts and positioning, and enables both real-time and asynchronous collaboration in debugging between developers. Developers interact with PerViz through a web browser, which provides a convenient, centralized location to study and filter aggregated application debugging logs and state. In our experience with using PerViz, we have found its log aggregation and real-time visualizations to be key facilitators for effective debugging.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127268977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interactive streaming of structured data","authors":"Justin Mazzola Paluska, H. Pham","doi":"10.1109/PERCOM.2010.5466996","DOIUrl":"https://doi.org/10.1109/PERCOM.2010.5466996","url":null,"abstract":"We present ChunkStream, a system for efficient streaming and interactive editing of online video. Rather than using a specialized protocol and stream format, ChunkStream makes use of a generic mechanism employing chunks. Chunks are fixed-size arrays that contain a mixture of scalar data and references to other chunks. Chunks allow programmers to expose large, but fine-grained, data structures over the network. ChunkStream represents video clips using simple data types like linked lists and search trees, allowing a client to retrieve and work with only the portions of the clips that it needs. ChunkStream supports resource-adaptive playback and “live” streaming of real-time video as well as fast, frame-accurate seeking; bandwidth-efficient high-speed playback; and compilation of editing decisions from a set of clips. Benchmarks indicate that ChunkStream uses less bandwidth than HTTP Live Streaming while providing better support for editing primitives.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129197573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}