Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Jindal, Anshul"'
Autor:
Chadha, Mohak, Krueger, Nils, John, Jophin, Jindal, Anshul, Gerndt, Michael, Benedict, Shajulin
Containerization approaches based on namespaces offered by the Linux kernel have seen an increasing popularity in the HPC community both as a means to isolate applications and as a format to package and distribute them. However, their adoption and us
Externí odkaz:
http://arxiv.org/abs/2301.03982
Autor:
Elzohairy, Mohamed, Chadha, Mohak, Jindal, Anshul, Grafberger, Andreas, Gu, Jianfeng, Gerndt, Michael, Abboud, Osama
Federated Learning (FL) is a machine learning paradigm that enables the training of a shared global model across distributed clients while keeping the training data local. While most prior work on designing systems for FL has focused on using statefu
Externí odkaz:
http://arxiv.org/abs/2211.05739
Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. As a result, application development and operating cloud infrastructur
Externí odkaz:
http://arxiv.org/abs/2210.04212
Autor:
Reile, Christoph, Chadha, Mohak, Hauner, Valentin, Jindal, Anshul, Hofmann, Benjamin, Gerndt, Michael
Microservice architecture is the common choice for cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. However, the complexity of microservice applications requires automated testing w
Externí odkaz:
http://arxiv.org/abs/2207.06811
Serverless computing paradigm has become more ingrained into the industry, as it offers a cheap alternative for application development and deployment. This new paradigm has also created new kinds of problems for the developer, who needs to tune memo
Externí odkaz:
http://arxiv.org/abs/2207.06183
Publikováno v:
In Proceedings of the 12th International Conference on Cloud Computing and Services Science - CLOSER 2022, ISBN 978-989-758-570-8; ISSN 2184-5042, pages 254-263
In the recent past, characterizing workloads has been attempted to gain a foothold in the emerging serverless cloud market, especially in the large production cloud clusters of Google, AWS, and so forth. While analyzing and characterizing real worklo
Externí odkaz:
http://arxiv.org/abs/2205.11582
Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks. Serverless applications follow this model, where the application is decompos
Externí odkaz:
http://arxiv.org/abs/2201.11454
Server virtualization in the form of virtual machines (VMs) with the use of a hypervisor or a Virtual Machine Monitor (VMM) is an essential part of cloud computing technology to provide infrastructure-as-a-service (IaaS). A fault or an anomaly in the
Externí odkaz:
http://arxiv.org/abs/2111.11052
The traditional cloud-centric approach for Deep Learning (DL) requires training data to be collected and processed at a central server which is often challenging in privacy-sensitive domains like healthcare. Towards this, a new learning paradigm call
Externí odkaz:
http://arxiv.org/abs/2111.03396
EdgeAI (Edge computing based Artificial Intelligence) has been most actively researched for the last few years to handle variety of massively distributed AI applications to meet up the strict latency requirements. Meanwhile, many companies have relea
Externí odkaz:
http://arxiv.org/abs/2108.09457