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Programming Support for Local-First Software: Enabling the Design of Privacy-Preserving Distributed Software without Relying on the Cloud

Haas, Julian (2022)
Programming Support for Local-First Software: Enabling the Design of Privacy-Preserving Distributed Software without Relying on the Cloud.
SPLASH Companion '22: 37th ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity. Auckland, New Zealand (06.12.2022)
doi: 10.1145/3563768.3565546
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Local-first software manages and processes private data locally while still enabling collaboration between multiple parties connected via partially unreliable networks. Such software typically involves interactions with users and the execution environment (the outside world). The decentralized nature of local-first software paired with the unpredictability of interactions driven from the outside world impede reasoning about their correctness. Yet, existing solutions to develop local-first software do not provide safety guarantees and instead expect developers to reason about concurrent interactions in an environment with unreliable network conditions. This is too much to ask of application developers, who are usually not experts in designing distributed systems. This work seeks to develop a programming model which facilitates the construction of local-first software and eradicates certain classes of safety and security problems by design. We do so by providing a dedicated local-first programming language and an accompanying automated verification procedure that can be integrated as part of the compilation process.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Haas, Julian
Art des Eintrags: Bibliographie
Titel: Programming Support for Local-First Software: Enabling the Design of Privacy-Preserving Distributed Software without Relying on the Cloud
Sprache: Englisch
Publikationsjahr: 1 Dezember 2022
Verlag: ACM
Buchtitel: SPLASH Companion'22: Companion Proceedings of the 2022 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity
Veranstaltungstitel: SPLASH Companion '22: 37th ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity
Veranstaltungsort: Auckland, New Zealand
Veranstaltungsdatum: 06.12.2022
DOI: 10.1145/3563768.3565546
Kurzbeschreibung (Abstract):

Local-first software manages and processes private data locally while still enabling collaboration between multiple parties connected via partially unreliable networks. Such software typically involves interactions with users and the execution environment (the outside world). The decentralized nature of local-first software paired with the unpredictability of interactions driven from the outside world impede reasoning about their correctness. Yet, existing solutions to develop local-first software do not provide safety guarantees and instead expect developers to reason about concurrent interactions in an environment with unreliable network conditions. This is too much to ask of application developers, who are usually not experts in designing distributed systems. This work seeks to develop a programming model which facilitates the construction of local-first software and eradicates certain classes of safety and security problems by design. We do so by providing a dedicated local-first programming language and an accompanying automated verification procedure that can be integrated as part of the compilation process.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Distributed Systems Programming
20 Fachbereich Informatik > Softwaretechnik
Hinterlegungsdatum: 30 Apr 2024 09:16
Letzte Änderung: 15 Aug 2024 11:46
PPN: 520688473
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