Chapter 12: Panta Rhei: Flexible Execution Engine for Search Computing Queries

Braga, Daniele; Ceri, Stefano; Corcoglioniti, Francesco; Grossniklaus, Michael

doi:10.1007/978-3-642-12310-8_12

Cited by 5 publications

(1 citation statement)

References 25 publications

(32 reference statements)

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“…Execution Engine. It executes Panta Rhei query plans [3]. The role of the engine is to produce an execution environment where results from service calls flow within the engine to generate new result combinations at the maximum speed, at the same time also supporting adaptation to changes in the search process and to other runtime factors.…”

Section: Server Tiermentioning

confidence: 99%

A Service-Based Architecture for Multi-domain Search on the Web

Bozzon

Brambilla

Corcoglioniti

et al. 2010

Service-Oriented Computing

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Current search engines lack in support for multi-domain queries, i.e., queries that can be answered by combining information from two or more knowledge domains. Questions such as "Find a theater close to Times Square, NYC, showing a recent thriller movie, close to a pizza restaurant" have no answer unless the user individually queries different vertical search engines for each domain and then manually combines results. Therefore, the need arises for a special class of search applications that combine different search services. In this paper we propose an architecture aiming at answering multi-domain queries through composition of search services and we provide facilities for the execution of multidomain queries and the visualization of their results, at the purpose of simplifying the access to the information. We describe our service-based architecture and the implemented optimization and distribution options, and we evaluate the feasibility and performance of our approach.

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Section: Server Tiermentioning

confidence: 99%

A Service-Based Architecture for Multi-domain Search on the Web

Bozzon

Brambilla

Corcoglioniti

et al. 2010

Service-Oriented Computing

Self Cite

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Coordinating Services for Accessing and Processing Data in Dynamic Environments

Cuevas-Vicenttín¹,

Vargas-Solar²,

Collet³

et al. 2010

On the Move to Meaningful Internet Systems: OTM 2010

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International audienceThis paper presents an approach and an associated system named Hypatia for accessing and processing data by coordinating services in dynamic environments. A dynamic environment consists of applications, servers and devices that can be static and nomad, and that produce or consume data on demand (e.g., online applications, Web-hosted DBMS) or continuously (messaging systems, mobile services). In such an environment, data are hidden behind services that export application programming interfaces (API) through heterogeneous networks and that provide functions for retrieving and processing data. In order to have an aggregated and integrated view of the dynamic environment at every moment (e.g., accessing Googles agenda service and feeding a Twitter service for continuously locating friends as we all stroll in a city), data consumers have to execute sets of service calls, i.e., subscribe to continuous data producers, aggregate results and feed other services and then obtain results and eventually start over again. No off-the-shelf DBMS provides such service oriented querying approach including continuous, one-shot, mobile and static query evaluation. Our work introduces the notion of hybrid query that declaratively expresses data consumers requirements and an associated query evaluator, Hypatia, that executes data oriented query service coordinations; taking advantage of the services available in the network (data providers and devices computing capacity) and yielding the query result

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