Bowen Li, Jiazhu Xie, Chelsea Wang et al. · arXiv (Cornell University) · 2026
Higher Degree by Research (HDR) candidates increasingly depend on cloud-provisioned virtual machines and local GPU hardware for their computational experiments, yet a persistent and under-addressed gap exists between having compute resources and using them productively. Cloud and infrastructure teams can provision virtual machines, but the path from a raw VM to a reproducible, GPU-ready research environment remains a significant barrier for researchers who are domain experts, not systems engineers. We identify this gap as a missing adapter layer between cloud provisioning and interactive research work. We present a lightweight, open-source solution built on k3s and Coder that implements this adapter layer and is already in active use in our research workspace environment. Our CI/CD pipeline connects GitHub directly to the local cluster, deploying research projects in under five minutes. We define a concrete metrics framework for evaluating this layer -- covering deployment latency, environment reproducibility, onboarding friction, and resource utilisation -- and establish baselines against which improvements can be measured.
Cited by 0Open access
John A. Trotter, Mark Cravatts · 1995
A adapter for wireless networking provides for reconfigerable media access control and data packet formats. The flexible adapter comprises a modem interface for controlling an RF modem for transmitting data signals to and receiving data signals from another RF modem; a media access control circuit; and a computer system interface circuit. The computer system interface circuit provides an interface between a host computer system, the modem interface circuit and the media access control circuit.
Cited by 10
Bowen Li, Jiazhu Xie, Chelsea Wang et al. · arXiv (Cornell University) · 2026
Higher Degree by Research (HDR) candidates increasingly depend on cloud-provisioned virtual machines and local GPU hardware for their computational experiments, yet a persistent and under-addressed gap exists between having compute resources and using them productively. Cloud and infrastructure teams can provision virtual machines, but the path from a raw VM to a reproducible, GPU-ready research environment remains a significant barrier for researchers who are domain experts, not systems engineers. We identify this gap as a missing adapter layer between cloud provisioning and interactive research work. We present a lightweight, open-source solution built on k3s and Coder that implements this adapter layer and is already in active use in our research workspace environment. Our CI/CD pipeline connects GitHub directly to the local cluster, deploying research projects in under five minutes. We define a concrete metrics framework for evaluating this layer -- covering deployment latency, environment reproducibility, onboarding friction, and resource utilisation -- and establish baselines against which improvements can be measured.
Cited by 0Open access
Genady Ya. Grabarnik, Ali Salahshour, Balanehru Subramanian et al. · 2004
The generic adapter for autonomic computing provides a framework for a unified approach to transform software messages and events into a standard situational event format in the autonomic computing architecture. The adapter as an application supports self-configuration and self-optimization.
Cited by 14
Vladimir Škarupelov · DSpace repository (University of Tartu) · 2011
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David Boggs · 2013
research relevant to the design and application of high performance scientific computers. We test our ideas by designing, building, and using real systems. The systems we build are research prototypes; they are not intended to become products. There is a second research laboratory located in Palo Alto, the Systems Research Center (SRC). Other Digital research groups are located in Paris (PRL) and in Cambridge,
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Zainalabedin Navabi · 2005
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Shin, Henry · Carolina Digital Repository (University of North Carolina at Chapel Hill)
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Sealing Technology · 2018
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John A. Hunt · 2013
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Byoungoh Kim, Kyungmin Lee, Dongman Lee · 2008
A key feature of ubiquitous computing is service continuity which allows a user to transparently continue his task regardless of his movement. For service continuity, the underlying system needs to not only discover a service satisfying a user's request, but also provide an interface differences resolution scheme if the interface of the service found is not the same as that of the service requested. For resolving interface mismatches, one of solutions is to use an interface adapter. The most serious problem in the interface adapter-based approach is the overhead of adapter generation. There are many research efforts about adapter generation load reduction and this paper focuses on an adapter chaining scheme to reduce the number of necessary adapters among different service interfaces. We propose a construction-time adaptation loss evaluation scheme and an adapter chain construction algorithm, which finds an adapter chain with minimal adaptation loss.
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Knierim, Michael Thomas · Open Science Framework · 2022
This repository contains the description and materials for the implementation of a cEEGrid adapter for the use with the OpenBCI Cyton + Daisy biosignal acquisition boards. Purchase the components here: https://exgtools.expeeeriments.io/
Cited by 0Open access
Jaren Michael Brownlee, Jack Cavaluzzi, Brennan Kay Harris et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023
The purpose of this software is to pull data from the Oracle Primavera P6 scheduling tool and bring it into the DeepLynx data warehouse.
Cited by 0Open access
Rafael Dowsley, Matthias Gabel, Kateryna Yurchenko et al. · 2016
The advent of cloud computing and storage provides numerous opportunities for better management of resources, with the potential of drastically reducing costs. However, when data is outsourced to the cloud, new security vulnerabilities emerge, as the cloud provider (and its employees) are normally not completely trusted by the party that is outsourcing the data. Therefore additional security mechanisms are needed in order to prevent against internal attacks in the cloud provider. Nonetheless, the performance and functionality should be impacted as less as possible. This work presents a database adapter for the secure outsourcing of data that aims at achieving a good performance-security trade-off.
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Changqing Li · Encyclopedia of Database Systems · 2009
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Ye Hu, Jun Zhang, Sibo Liu et al. · arXiv (Cornell University) · 2023
Recent years have witnessed the strong power of large text-to-image diffusion models for the impressive generative capability to create high-fidelity images. However, it is very tricky to generate desired images using only text prompt as it often involves complex prompt engineering. An alternative to text prompt is image prompt, as the saying goes: "an image is worth a thousand words". Although existing methods of direct fine-tuning from pretrained models are effective, they require large computing resources and are not compatible with other base models, text prompt, and structural controls. In this paper, we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pretrained text-to-image diffusion models. The key design of our IP-Adapter is decoupled cross-attention mechanism that separates cross-attention layers for text features and image features. Despite the simplicity of our method, an IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fully fine-tuned image prompt model. As we freeze the pretrained diffusion model, the proposed IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. With the benefit of the decoupled cross-attention strategy, the image prompt can also work well with the text prompt to achieve multimodal image generation. The project page is available at \url{https://ip-adapter.github.io}.
Cited by 109Open access
Richard Ewelle Ewelle · theses.fr (ABES) · 2015
With the arrival of cloud computing technology, game accessibility and ubiquity havea bright future. Games can be hosted in a centralize server and accessed through theInternet by a thin client on a wide variety of devices with modest capabilities: cloudgaming. Some of the advantages of using cloud computing in game context includes:device ubiquity, computing exibility, affordable cost and lowered set up overheads andcompatibility issues. However, current cloud gaming systems have very strong requirementsin terms of network resources, thus reducing their widespread adoption. In factdevices with little bandwidth and people located in area with limited network capacity,cannot take advantage of these cloud services. In this thesis we present an adaptationtechnique inspired by the level of detail (LoD) approach in 3D graphics. It is based ona cloud gaming paradigm in other to maintain user's quality of experience (QoE) byreducing the impact of poor network parameters (delay, loss, bandwidth) on game interactivity.Our first contribution consist of game models expressing game objects and theircommunications needs represented by their importance in the game. We provided twodifferent ways to manage objects' importance using agents organizations and gameplaycomponents. We then provided a level of detail approach for managing network resourcedistribution based on objects importance in the game scene and network conditions. Weexploited the dynamic objects importance adjustment models presented above to proposeLoD systems adapting to changes during game sessions. The experimental validation ofboth adaptation models showed that the suggested adaptation minimizes the effects oflow and/or unstable network conditions in maintaining game responsiveness and player'sQoE.
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Stefano Russo · 2012
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Bhargav Bachina · Zenodo (CERN European Organization for Nuclear Research) · 2020
Abstract This paper presents a comprehensive guide for deploying MERN (MongoDB, Express.js, React.js, Node.js) stack applications on Amazon Web Services (AWS) Elastic Container Service (ECS). With the increasing popularity of MERN stack for web development and the growing adoption of cloud computing, efficient deployment strategies are essential. Leveraging AWS ECS offers scalability, reliability, and ease of management. The paper provides an overview of MERN stack components, AWS ECS features, and a step-by-step deployment process covering containerization, task definition creation, cluster setup, service configuration, and load balancing. Practical examples, code snippets, and best practices are discussed to empower developers and DevOps engineers in efficiently deploying MERN stack applications on AWS ECS, facilitating streamlined development workflows and robust, cloud-native solutions.
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Frank Dowdle · 2017
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