Shivakrishna Vangala
Principal Architect, T-Mobile USA Inc, Bellevue, USA

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Semantic Contract Meshes for Dynamic Partner Orchestration Across Multi-Enterprise Cloud Ecosystems Shivakrishna Vangala
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 01 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i01.1268

Abstract

Multi-enterprise cloud ecosystems need a coordinated and accelerated approach to onboard, coordinate, and replace partners, that conventional bilateral integration agreements cannot keep up with. This systematic literature review aims to describe and assess the semantic contract mesh, a decentralized layer that is characterized by the binding of machine-interpretable agreements to shared ontologies, enforcement through zero-trust policy points, and execution through verifiable workflow models, and that has been published from 1990 to 2021. Sources were rated on six weighted criteria and put into 7 themes with five having at least 4 sources. Three latency regimes are suggested along with a formal contract tuple, a weighted Jaccard compatibility measure and a Petri net state equation. Comparative scoring gives the mesh a weighted 2.75 out of 3.00 points while point-to-point integration gets a 0.65. With an illustrative parameterization, mesh latency is 38.0ms at 50 partners, while pairwise integration takes 1,225ms. Latencies and scores are analytic, not experimental. In just 8 of the 42 theme–capability cells, the maximum code is achieved, revealing fragmentation across the literature. Ethical, regulatory and scalability challenges are explored, and a phased, ontology-first approach to adoption for enterprises seeking to incrementally move from bilateral integration to shared machine-interpretable agreements is proposed.
Event-Safe Agent-to-Cloud Fabrics for Transactionally Consistent Autonomous Enterprise Systems Shivakrishna Vangala
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 02 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i02.1270

Abstract

The more and more autonomous software agents perform business operations against the shared cloud state, the more duplicated, misordered and irrecoverable effects are experienced by enterprises in the event of failure and retry. A systematic review of 26 peer-reviewed sources over 46 years was carried out to see how transactional consistency can be ensured from the agent to the cloud. A rubric for eight coordination mechanisms was developed with six criteria, and sources were coded into five domains. The synthesis demonstrates that crash tolerance is 2f + 1 replicas, Byzantine tolerance is 3f + 1, and that update-anywhere replication is N^3 times as many conflicts, where N is the number of nodes, or that deterministic sequencing has been reported at about 500,000 transactions per second. A composite event-safe fabric, by combining a durable intent log, per domain sequencing, idempotent effects and sagas, as well as convergent agent memory, achieved a composite score of 2.45, compared to a mean of 1.94 for single mechanisms. The ranking assumes a certain level of weight for the effect safety, and the conclusions are based on ordinal coding instead of measured agent workloads. Architectural guidelines for designing agent enabled enterprise platforms and directions for empirical research are provided.