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Object-Swapping for Resource-Constrained Devices

27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07), 2007
Mobile devices are still memory-constrained when compared to desktop and laptop computers. Thus, in some circumstances, even while occupied by useful objects, some memory must be freed. This must be performed while preserving referential integrity in object-oriented applications and without permanently losing data. We propose a novel approach to object
Luís Veiga, Paulo Ferreira 0001
openaire   +1 more source

Resource Constrained Shortest Paths

2000
The resource constrained shortest path problem (CSP) asks for the computation of a least cost path obeying a set of resource constraints. The problem is NP-complete. We give theoretical and experimental results for CSP. In the theoretical part we present the hull approach, a combinatorial algorithm for solving a linear programming relaxation and prove ...
Mehlhorn, K., Ziegelmann, M.
openaire   +2 more sources

Resource Constrained Scheduling

1993
The scheduling model we consider now is more complicated than the previous ones, because any task, besides processors, may require for its processing some additional scarce resources. Resources, depending on their nature, may be classified into types and categories.
Jacek Błazewicz   +3 more
openaire   +1 more source

Resource constrained scheduling of uniform algorithm

Proceedings of International Conference on Application Specific Array Processors (ASAP '93), 1995
A method for optimizing the schedule and allocation of uniform algorithms onto processor arrays is derived. The main results described in the following paper are: (1) single (integer) linear programs are given for the optimal schedule of regular algorithms with and without resource constraints, (2) the class of algorithms is extended by allowing ...
openaire   +1 more source

Resource Constrained Offloading in Fog Computing

Proceedings of the 1st Workshop on Middleware for Edge Clouds & Cloudlets - MECC '16, 2016
When focusing on the Internet of Things (IoT), communicating and coordinating sensor--actuator data via the cloud involves inefficient overheads and reduces autonomous behavior. The Fog Computing paradigm essentially moves the compute nodes closer to sensing entities by exploiting peers and intermediary network devices.
Ajay Kattepur   +4 more
openaire   +2 more sources

Disorder considerations in resource‐constrained scheduling

Construction Management and Economics, 2009
A method is presented for allocating resources to construction activities and for scheduling construction projects under resource constraints by considering the effects that such resource limitations may have on the tendency of the activities (and the project in general) to fall into disarray and behind schedule.
Christodoulou, Symeon E.   +5 more
openaire   +3 more sources

Efficient Resource-Constrained Monitoring

NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 2022
Jalil Moraney, Danny Raz
openaire   +1 more source

On Designing Resource-Constrained CNNs Efficiently

2022
Deep Convolutional Neural Networks (CNNs) have been adopted in many computer vision applications to achieve high performance. However, the growing computational demand of CNNs has made it increasingly difficult to deploy state-of-the-art CNNs onto resource-constrained platforms. As a result, model compression/acceleration has emerged to be an important
openaire   +1 more source

Policy learning in resource-constrained optimization

Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011
We consider an optimization scenario in which resources are required in the evaluation process of candidate solutions. The challenge we are focussing on is that certain resources have to be committed to for some period of time whenever they are used by an optimizer.
Richard Allmendinger 0001   +1 more
openaire   +1 more source

Aspiration adaptation in resource-constrained environments

Journal of Urban Economics, 2018
Abstract We use a multi-country field experiment that combines random variation at the treatment level with exogenous variation in the length of exposure to treatment to test the effect of a slum housing intervention on the evolution of the housing aspirations of untreated co-resident neighbors.
Sebastian Galiani   +2 more
openaire   +1 more source

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