Matches in ScholarlyData for { ?s ?p ?o. }
- item-5 hasContent qiang-yang.
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- item-6 hasContent yong-yu.
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- 769 creator iris-miliaraki.
- 769 creator manolis-koubarakis.
- 769 creator zoi-kaoudi.
- 769 type InProceedings.
- 769 label "XML Data Dissemination using Automata on top of Structured Overlays".
- 769 sameAs 769.
- 769 abstract "We present a novel approach for filtering XML documents using nondeterministic finite automata and distributed hash tables. Our approach differs architecturally from recent proposals that deal with distributed XML filtering; they assume an XML broker architecture, whereas our solution is built on top of distributed hash tables. The essence of our work is a distributed implementation of YFilter, a state-of-the-art, automata-based XML filtering system on top of Chord. We experimentally evaluate our approach and demonstrate that our algorithms can scale to millions of XPath queries under various filtering scenarios, and also exhibit very good load balancing properties.".
- 769 hasAuthorList authorList.
- 769 hasTopic World_Wide_Web.
- 769 isPartOf proceedings.
- 769 keyword "XML data dissemination".
- 769 keyword "load balancing".
- 769 keyword "structured overlays".
- 769 title "XML Data Dissemination using Automata on top of Structured Overlays".
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- item-1 hasContent iris-miliaraki.
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- item-2 hasContent zoi-kaoudi.
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- item-3 hasContent manolis-koubarakis.
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- 787 creator hussein-alzoubi.
- 787 creator kobus-van-der-merwe.
- 787 creator michael-rabinovich.
- 787 creator oliver-spatscheck.
- 787 creator seungjoon-lee.
- 787 type InProceedings.
- 787 label "Anycast CDNs Revisited".
- 787 sameAs 787.
- 787 abstract "Because it is an integral part of the Internet routing apparatus, and because it allows multiple instances of the same service to be ``naturally'' discovered, IP Anycast has many attractive features for any service that involve the replication of multiple instances across the Internet. While briefly considered as an enabler when content distribution networks (CDNs) first emerged, the use of IP Anycast was deemed infeasible in that environment. The main reasons for this decision were the lack of load awareness of IP Anycast and unwanted side effects of Internet routing changes on the IP Anycast mechanism. Prompted by recent developments in route control technology, as well as a better understanding of the behavior of IP Anycast in operational settings, we revisit this decision and propose a load-aware IP Anycast CDN architecture that addresses these concerns while benefiting from inherent IP Anycast features. Our architecture makes use of route control mechanisms to take server and network load into account to realize load-aware Anycast. We show that the resulting redirection requirements can be formulated as a Generalized Assignment Problem and present practical algorithms that address these requirements while at the same time limiting session disruptions that plague regular IP Anycast. We evaluate our algorithms through trace based simulation using traces obtained from an operation CDN network.".
- 787 hasAuthorList authorList.
- 787 hasTopic World_Wide_Web.
- 787 isPartOf proceedings.
- 787 keyword "CDN".
- 787 keyword "anycast".
- 787 keyword "routing".
- 787 title "Anycast CDNs Revisited".
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- item-1 hasContent hussein-alzoubi.
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- item-2 hasContent seungjoon-lee.
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- item-3 hasContent michael-rabinovich.
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- item-4 hasContent oliver-spatscheck.
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- item-5 hasContent kobus-van-der-merwe.
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- 794 creator daqing-he.
- 794 creator jae-wook-ahn.
- 794 creator jonathan-grady.
- 794 creator peter-brusilovsky.
- 794 creator qi-li.
- 794 type InProceedings.
- 794 label "Personalized Web Exploration with Task Models".
- 794 sameAs 794.
- 794 abstract "Personalized Web search has emerged as one of the hottest topics for both the Web industry and academic researchers. However, the majority of studies on personalized search focused on a rather simple type of search, which leaves an important research topic-- the personalization in exploratory searches -- as an under-studied area. In this paper, we present a study of personalization in task-based information exploration using a system called TaskSieve. TaskSieve is a Web search system that utilizes a relevance feedback based profile, called a “task model”, for personalization. Its innovations include flexible and user controlled integration of queries and task models, task-infused text snippet generation, and on-screen visualization of task models. Through an empirical study using human subjects conducting task-based exploration searches, we demonstrate that TaskSieve pushes significantly more relevant documents to the top of search result lists as compared to a traditional search system. TaskSieve helps users select significantly more accurate information for their tasks, allows the users to do so with higher productivity, and is viewed more favorably by subjects under several usability related characteristics.".
- 794 hasAuthorList authorList.
- 794 hasTopic World_Wide_Web.
- 794 isPartOf proceedings.
- 794 keyword "adaptive search".
- 794 keyword "personalization".
- 794 keyword "task model".
- 794 keyword "task-based information exploration".
- 794 keyword "user profile".
- 794 title "Personalized Web Exploration with Task Models".
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