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Deployment of distributed applications on large systems, and especially on grid infrastructures, becomes a more and more complex task. Grid users spend a lot of time to prepare, install and configure middleware and application binaries on…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-06-21 Areski Flissi , Philippe Merle

Executing distributed cyber-physical software processes on edge devices that maintains the resiliency of the overall system while adhering to resource constraints is quite a challenging trade-off to consider for developers. Current…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-23 Purboday Ghosh , Hao Tu , Timothy Krentz , Gabor Karsai , Srdjan Lukic

The Distributed object computing is a paradigm that allows objects to be distributed across a heterogeneous network, and allows each of the components to interoperate as a unified whole. A new generation of distributed applications, such as…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-02-18 Usha Batra , Deepak Dahiya , Sachin Bhardwaj

In this paper we describe an architecture which: Permits the deployment and execution of components in appropriate geographical locations. Provides security mechanisms that prevent misuse of the architecture. Supports a programming model…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-07-01 Alan Dearle , Graham Kirby , Andrew McCarthy , Juan-Carlos Diaz y Carballo

The wide variety of wireless devices brings to design mobile applications as a collection of interchangeable software components adapted to the deployment environment of the software. To ensure the proper functioning of the software…

Software Engineering · Computer Science 2012-05-22 Kouninef Belkacem , Bouzerita Mohamed

We propose a framework for deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects such…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-24 Alan Dearle , Graham Kirby , Andrew McCarthy

We propose a framework for the deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-25 Alan Dearle , Graham Kirby , Andrew McCarthy

Deployment of software components for building distributed applications consists of the coordination of a set of basic tasks like uploading component binaries to the execution sites, loading them in memory, instantiating components,…

Networking and Internet Architecture · Computer Science 2007-05-23 Frederic Briclet , Christophe Contreras , Philippe Merle

Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are currently equipped with multiple GPU accelerators per compute node and are expected to incorporate more specialized hardware. This shift in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-09 Polykarpos Thomadakis , Nikos Chrisochoides

We propose a middleware framework for deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-25 Alan Dearle , Graham Kirby , Andrew McCarthy

We present our approach for deploying and managing distributed component-based applications. A Desired State Description (DSD), written in a high-level declarative language, specifies requirements for a distributed application. Our…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-18 Andrew McCarthy , Alan Dearle , Graham Kirby

Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are currently equipped with multiple GPU accelerators per compute node and are expected to incorporate more specialized hardware in the future. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-05 Polykarpos Thomadakis , Nikos Chrisochoides

We present here a cost effective framework for a robust scalable and distributed job processing system that adapts to the dynamic computing needs easily with efficient load balancing for heterogeneous systems. The design is such that each…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-07 Putti Srinivasrao , V. P. C. Rao , A. Govardhan , Ambika Prasad Mohanty

Cyber-physical systems increasingly rely on distributed computing platforms where sensing, computing, actuation, and communication resources are shared by a multitude of applications. Such `cyber-physical cloud computing platforms' present…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-03 Gabor Karsai , Daniel Balasubramanian , Abhishek Dubey , William R. Otte

Many tools and libraries are readily available to build and operate distributed Web applications. While the setup of operational environments is comparatively easy, practice shows that their continuous secure operation is more difficult to…

Cryptography and Security · Computer Science 2012-07-13 Matteo Maria Casalino , Michele Mangili , Henrik Plate , Serena Elisa Ponta

This paper presents a powerful automated framework for making complex systems resilient under failures, by optimized adaptive distribution and replication of interdependent software components across heterogeneous hardware components with…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-13 Scott D. Stoller , Balaji Jayasankar , Yanhong A. Liu

The robustness of distributed systems is usually phrased in terms of the number of failures of certain types that they can withstand. However, these failure models are too crude to describe the different kinds of trust and expectations of…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-12-11 Isaac C. Sheff , Robbert van Renesse , Andrew C. Myers

Owing to their cost-effectiveness and flexibility, cloud services have been the default choice for the deployment of innumerable software systems over the years. However, novel paradigms are beginning to emerge, as the cloud can't meet the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-29 Tamara Ranković , Ivana Kovačević , Veljko Maksimović , Goran Sladić , Miloš Simić

Compute infrastructure hosted by a cloud provider allows an application to scale without limit. The application developer no longer needs to worry about the up-front investment in a server farm provisioned for a worst-case load scenario.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-16 Michael Howard

The recent apparition of mobile wireless sensor aware to their physical environment and able to process information must allow proposing applications able to take into account their physical context and to react according to the changes of…

Software Engineering · Computer Science 2008-12-22 Christine Louberry , Marc Dalmau , Philippe Roose
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