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Record W2044062724 · doi:10.1145/1370888.1370896

Service-oriented architecture for mobile applications

2008· article· en· W2044062724 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsSystems, Applications & Products in Data Processing (Canada)
Fundersnot available
KeywordsComputer scienceMobile WebMobile computingArchitectureMobile business developmentMobile deviceBusiness logicMobile databaseMobile technologyEmbedded systemMobile stationDatabaseOperating systemBase station

Abstract

fetched live from OpenAlex

Mobile phones are becoming a new popular platform for business applications. The number of mobile users increases daily and so does the need for efficient mobile data access and management. However, a traditional approach to business application and database design is not suitable for mobile devices because of the limited memory and connection bandwidth. This paper presents a novel lightweight mobile SOA-based architecture for business applications running on J2ME enabled devices such as cell phones. The paper includes position statement based on our experience and describes a first prototype implementation of the architecture. Some important features of our design are: using the knowledge of business processes to minimize data transferred to and stored on the device; pro-active data loading; allowing applications to fully function in a disconnected mode. The above architecture results in a lightweight framework, which can be used in order to develop a wide spectrum of business-oriented mobile applications.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.960
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.235
Teacher spread0.225 · 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