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Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native

arXiv.org
In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures. Recent large models such as ChatGPT, while revolutionary in their capabilities, face challenges like escalating costs and demand for ...
Yao Lu   +21 more
semanticscholar   +1 more source

GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation

Proceedings of the VLDB Endowment
Cloud-native databases have been widely deployed due to high elasticity, high availability and low cost. However, most existing cloud-native databases do not support multiple writers and thus have limitations on write throughput and scalability.
Guoliang Li   +5 more
semanticscholar   +1 more source

Informed and Assessable Observability Design Decisions in Cloud-Native Microservice Applications

International Conference on Software Architecture
Observability is important to ensure the reliability of microservice applications. These applications are often prone to failures, since they have many independent services deployed on heterogeneous environments.
Maria C. Borges   +4 more
semanticscholar   +1 more source

Cloud Native Data Architecture

2021
In previous chapters, we discussed the application side of cloud-native architecture and showed use cases. In this chapter, I will provide details of the data part of a cloud-native architecture. As you already know, data is a vast subject; in fact, you can find hundreds of blogs, articles, and books about data.
openaire   +1 more source

Cloud-Native Databases: A Survey

IEEE Transactions on Knowledge and Data Engineering
Cloud databases have been widely accepted and deployed due to their unique advantages, such as high elasticity, high availability, and low cost. Many new techniques, such as compute-storage disaggregation and the log is the database, have been proposed ...
Haowen Dong   +3 more
semanticscholar   +1 more source

Enterprise Cloud Native Automation

2021
Software engineering’s main objective is to unify the development of software (Dev) and subsequent operations (Ops), and it is this combination of cultural values, practices, and tools that allow an organization to deliver software applications quickly.
openaire   +1 more source

eBPF-Enhanced Complete Observability Solution for Cloud-native Microservices

ICC 2024 - IEEE International Conference on Communications
Microservices have emerged as a popular pattern for developing large-scale applications in cloud environments for their flexibility, scalability, and agility benefits.
Bhavye Sharma, Deepak Nadig
semanticscholar   +1 more source

Cloud Native Cost Optimization

Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, 2015
For traditional datacenter applications capacity is a fixed upfront cost, so there is little incentive to stop using it once it's been allocated, and it has to be over-provisioned most of the time so there is enough capacity for peak loads. When traditional application and operating practices are used in cloud deployments there are immediate benefits ...
openaire   +1 more source

Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware

Proceedings of the VLDB Endowment
This paper explores the intersection of operating systems and database systems, focusing on the potential of specialized kernels for cloud-native database systems.
Viktor Leis, Christian Dietrich
semanticscholar   +1 more source

The Effect of Continuous Encryption of Data in Cloud Native Architecture

2024 IEEE Cloud Summit
Enterprise cloud-native software systems, handle a diverse set of customer data that can be of variable volume with variable throughput. With increasing emphasis on privacy, locality and security ([1]) of user data; data encryption (at-rest and in ...
Subrata Ashe, Haricharan Ramachandra
semanticscholar   +1 more source

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