Oana-Otilia Captarencu, Emanuel Onica, Andrei Arusoaie · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.24198 · cited by 0 works (OpenAlex) · open-access PDF
وقد أظهرت حلول Blockchain Layer 2 (L2) في السنوات الأخيرة، عادةً في بيئة Ethereum، كخيار قابل للتطوير لموقع Blockchain الرئيسية (L1). ومع ذلك، فإن اختيار حلول L2 لتنفيذ اتفاقيات ذكية تدعم تطبيقات Blockchain هو قرار يعتمد على العديد من العوامل، مثل تكلفة، وفعالية، شعبية، والقرار. ونحن نقدم هنا طريقة متكاملة لمساعدة هذه العملية اتخاذ القرار من خلال استخدام مجموعة من المعايير ذات الصلة وإدخال الملفات المحددة للمستخدم التي تتبع الأولوية المختلفة بين هذه المعايير. ونحن نجمع الفئات الرئيسية من الاتفاقيات الذكية من مصدر البيانات المحلي، ونجمع المعاملات لمدة ستة أشهر من ثلاثة حلول L2 الرئيسية: Arbitrum، Optim
Machine translation (Meta M2M100); the English original follows.
Layer 2 (L2) blockchain solutions emerged in recent years, predominantly in the Ethereum ecosystem, as a viable option for scaling a main blockchain network (L1). However, the selection of a L2 solution for deploying smart contracts backing blockchain applications is a decision that depends on many factors, such as costs, efficiency, popularity, and stability. We propose here a systematic methodology to help with this decision making process by using a set of relevant metrics and introducing user-defined profiles that capture different priorities among these metrics. We collect the major categories of smart contracts from a community-maintained data source, and we gather transactions for a six months period from three major L2 solutions: Arbitrum, Optimism, and Base. For each contract category and each blockchain, we compute a set of metrics and scores tailored to each user profile. By applying our methodology, we identify a clear bias in the classification, showing which L2 solutions are better suited for particular application types and user profiles.
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Topics: Computer science, Software deployment, Set (abstract data type), Process (computing), Blockchain, Smart contract
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