783 research outputs found
Fault-Tolerant Business Processes
Abstract. Service-oriented computing (SOC) paradigm promotes the
idea of assembling application components into a network of loosely coupled
services. Web services are the most promising SOC-based technology.
A BPEL process definition represents a composite service that encapsulates
some complex business logic including the invocation to other
(external) web services. The complexity of a BPEL process together with
the invocation of external services subject to network and computer failures
requires countermeasures to tolerate this kind of failures. In this
paper we present an overview of FT-BPEL, a fault-tolerant implementation
of BPEL that copes both with failures of the machine running the
BPEL process and network failures in a transparent way, that is, after a
failure the system is able to resume the BPEL process consistently
The first report of Candida dubliniensis from human root caries lesions
published_or_final_versio
In vitro growth, acidogenicity and cariogenicity of predominant bacteria in root caries
published_or_final_versio
In pursuit of the ideal antifungal agent for Candida infections: high-throughput screening of small molecules
Candida infections have created a great burden on the public healthcare sector. The situation is worsened by recent epidemiological changes. Furthermore, the current arsenal of antifungal agents is limited and associated with undesirable drawbacks. Therefore, new antifungal agents that surpass the existing ones are urgently needed. High-throughput screening of small molecule libraries enables rapid hit identification and, possibly, increases hit rate. Moreover, the identified hits could be associated with unrecognized or multiple drug targets, which would provide novel insights into the biological processes of the pathogen. Hence, it is proposed that high-throughput screening of small molecules is particularly important in the pursuit of the ideal antifungal agents for Candida infections
Tractable Pathfinding for the Stochastic On-Time Arrival Problem
We present a new and more efficient technique for computing the route that
maximizes the probability of on-time arrival in stochastic networks, also known
as the path-based stochastic on-time arrival (SOTA) problem. Our primary
contribution is a pathfinding algorithm that uses the solution to the
policy-based SOTA problem---which is of pseudo-polynomial-time complexity in
the time budget of the journey---as a search heuristic for the optimal path. In
particular, we show that this heuristic can be exceptionally efficient in
practice, effectively making it possible to solve the path-based SOTA problem
as quickly as the policy-based SOTA problem. Our secondary contribution is the
extension of policy-based preprocessing to path-based preprocessing for the
SOTA problem. In the process, we also introduce Arc-Potentials, a more
efficient generalization of Stochastic Arc-Flags that can be used for both
policy- and path-based SOTA. After developing the pathfinding and preprocessing
algorithms, we evaluate their performance on two different real-world networks.
To the best of our knowledge, these techniques provide the most efficient
computation strategy for the path-based SOTA problem for general probability
distributions, both with and without preprocessing.Comment: Submission accepted by the International Symposium on Experimental
Algorithms 2016 and published by Springer in the Lecture Notes in Computer
Science series on June 1, 2016. Includes typographical corrections and
modifications to pre-processing made after the initial submission to SODA'15
(July 7, 2014
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