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Record W2121759846 · doi:10.1109/scc.2005.94

SOA without Web services: a pragmatic implementation of SOA for financial transactions systems

2005· article· en· W2121759846 on OpenAlexaff
Ziyang Duan, Siddhartha Bose, Paul A. Stirpe, Charles A. Shoniregun, A. Logvynovskiy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsNew York Institute of Technology
Fundersnot available
KeywordsComputer scienceService-oriented architectureWeb serviceScalabilityAtomicityOASIS SOA Reference ModelDatabase transactionBusiness Process Execution LanguageSOAPTransaction processingService (business)Distributed computingSoftware engineeringWorld Wide WebOperating systemDatabase

Abstract

fetched live from OpenAlex

The service oriented architecture (SOA) provides a methodology for designing software systems by integrating loosely coupled services. Compared to traditional distributed object-oriented architectures, SOA is more suitable to integrate heterogeneous systems, and more adaptable in a changing environment. This paper presents the design and implementation of a SOA framework for financial transaction applications. The framework provides an easy and uniform way for service composition in a controlled environment, and leverages Web service standards with efficient communication mechanisms and durable and/or transactional message queues. Specifically, the work addresses the following issues: 1) the incorporation of existing systems and protocols that are not Web-service compatible. This paper focuses on business processes of equities transactions using the FIX protocol; 2) the configuration and deployment of services and service endpoints in a flexible and dynamic manner; 3) the capability of specifying business processes as Web service compositions and a distributed runtime environment that supports it; 4) the scalability, resiliency and transactional aspects as required in critical business applications. The experience of applying the framework in building a high performance equities transaction system is presented.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.260
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2005
Admission routes1
Has abstractyes

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