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Autonomics for grid systems and applications

Manish Parashar
2008 Proceedings of the third international workshop on Use of P2P, grid and agents for the development of content networks - UPGRADE '08  
Addressing applications in an end-to-end manner! -On-demand access to geographically distributed computing, communication and information resources  ...  -Deployment and runtime management services -Data streaming -Resource management • Programming systems -Policy based, control theory base, emergent, … • Proactive monitoring and management  ...  and efficient power grids, safe and efficient operation of regional collections of buildings • Health -Reliable and cost effective health care systems with improved outcomes • Enterprise-wide decision  ... 
doi:10.1145/1384209.1384211 dblp:conf/hpdc/Parashar08 fatcat:63ooiyp3f5bwbdnrz3xtw2wh5e

Future Automotive HW/SW Platform Design (Dagstuhl Seminar 19502)

Dirk Ziegenbein, Selma Saidi, Xiaobo Sharon Hu, Sebastian Steinhorst
2020 Dagstuhl Reports  
automotive HW/SW platforms, particularly focusing on predictability of systems regarding extra-functional properties, safe integration of hardware and software components and programmability and optimization  ...  of emerging heterogeneous platforms.  ...  Here the focus is on non-functional performance models of real-world systems, ranging from engine control [2] to automated driving [3].  ... 
doi:10.4230/dagrep.9.12.28 dblp:journals/dagstuhl-reports/ZiegenbeinSHS19 fatcat:gvrg2tj5enh3rnwtvquch54vo4

Reflecting on Self-Aware Systems-on-Chip [chapter]

Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Biswadip Maity, Caio Batista de Melo, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil Dutt
2020 A Journey of Embedded and Cyber-Physical Systems  
Acknowledgments The authors would like to acknowledge Santanu Sarma, Chen-Ying Hsieh, JurnGyu Park, Majid Shoushtari, and Hossein Tajik for their research contributions.  ...  We acknowledge financial support by NSF grant CCF-1704859, and the Marie Curie Actions of the European Union's H2020 Program.  ...  Example Use Case: Autonomous Driving The key innovation in automated driving as compared to driver assistance systems is the transition of decision-making from the driver to the vehicle.  ... 
doi:10.1007/978-3-030-47487-4_6 fatcat:vz4pxkkmrjgf5la3sn2nkbl3we

Comparison between autosar platforms with functional safety for automotive software architectures [article]

Youssef Elkharaz, Saad Motahhir, Abdelaziz Elghzizal
2021 arXiv   pre-print
The automotive industry begins to develop new and efficient strategies to improve the performance of the global system.  ...  This solution aims to provide a safe environment for the features that require complex data processing and to communicate with AUTOSAR and non AUTOSAR Platforms.  ...  The module operating system interface based on a subset of POSIX (Atlidakis et al., 2016 ) is responsible for run-time resource management such as signals, timer and thread handling for all adaptive applications  ... 
arXiv:2109.00099v2 fatcat:adgre6xkufg5zgtvftv4hx4vmm

ISO-26262 Compliant Safety-Critical Autonomous Driving Applications: Real-Time Interference-Aware Multicore Architectures

Abdullah El-Bayoumi
2021 International Journal of Safety and Security Engineering  
Moreover, this paper presents new safety design choices applied to timing monitoring, temporal protection, runtime monitoring and services protection to overcome multicore processor challenges in runtime  ...  The main objectives of this work are to investigate, evaluate and introduce an efficient safety-critical multi-cache multicore architecture, that is fully compliant with methods and principles of ISO 26262  ...  ACKNOWLEDGMENT The work presented here has been partially carried out for the framework of autonomous driving applications, which are supported by the TTTech Auto Iberia, Spain.  ... 
doi:10.18280/ijsse.110103 fatcat:svaasx55yfbjpgccwkdjsmhix4

Runtime Software Patching: Taxonomy, Survey and Future Directions [article]

Chadni Islam, Victor Prokhorenko, M. Ali Babar
2022 arXiv   pre-print
Due to modern software systems' high variance and heterogeneity, no universal solutions are available or proposed to deploy and execute patches at runtime.  ...  Existing runtime software patching solutions focus on specific cases, scenarios, programming languages and operating systems.  ...  [5, 46] Updating software Patch deployment and rollback Semi-automated C-based system Ginseng [47] Updating software safely Patch generation and deployment Semi-automated C programs As shown in  ... 
arXiv:2203.12132v1 fatcat:bodn5nybqrf4nhkihhqnwxckfi

Model-Driven Engineering for Mission-Critical IoT Systems

Federico Ciccozzi, Ivica Crnkovic, Davide Di Ruscio, Ivano Malavolta, Patrizio Pelliccione, Romina Spalazzese
2017 IEEE Software  
Heterogeneity Heterogeneity is common in MC-IoT systems, which differ in resources, protocols, hardware and software platforms, programming languages, and so on.  ...  as simple actuators, sensors, and RFID tags, as well as more complex devices such as computers, self-driving vehicles, and autonomous robots. 1 In IoT systems, heterogeneity embraces both software and  ... 
doi:10.1109/ms.2017.1 fatcat:eqi23edf6bb4hlpvnv6tsdgqby

Tackling Variabilities in Autonomous Driving [article]

Yuqiong Qi and Yang Hu and Haibin Wu and Shen Li and Haiyu Mao and Xiaochun Ye and Dongrui Fan and Ninghui Sun
2021 arXiv   pre-print
The state-of-the-art driving automation system demands extreme computational resources to meet rigorous accuracy and latency requirements.  ...  Though emerging driving automation computing platforms are based on ASIC to provide better performance and power guarantee, building such an accelerator-based computing platform for driving automation  ...  However, in various driving scenarios, by reasonably using the computing resources in heterogeneous HMAI, HMAI will have high resource utilization rate as shown in Figure 2 (b) and safe response time  ... 
arXiv:2104.10415v1 fatcat:j2ayhw7fwjhajflmamkruhfv4m

The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems

Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernandez Luz, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater
2020 Microprocessors and microsystems  
RECIPE aims at introducing a hierarchical runtime resource management infrastructure to optimize energy efficiency and minimize the occurrence of thermal hotspots, while enforcing the time constraints  ...  resource management of the heterogeneous architectural components of the system, driven by estimates of the application latency and hardware reliability obtained respectively through timing analysis and  ...  power and time-ConstraIntsaware Predictive management of heterogeneous Exascale systems.  ... 
doi:10.1016/j.micpro.2020.103185 fatcat:kevagp2vdvf6hnus4qnxgxbnxq

The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems

Cristina Silvano, Giovanni Agosta, Jorge Barbosa, Andrea Bartolini, Andrea R. Beccari, Luca Benini, Joao Bispo, Joao M.P. Cardoso, Carlo Cavazzoni, Stefano Cherubin, Radim Cmar, Davide Gadioli (+9 others)
2017 2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)  
heterogeneous HPC systems.  ...  The ANTAREX project intends to address these issues by providing a tool flow, a Domain Specific Launguage and APIs to provide application's adaptivity and to runtime manage and autotune applications for  ...  These sources of heterogeneity, coupled with current worst case design practices, lead to significant loss in energy-efficiency, and to some missed opportunities for runtime resource and power management  ... 
doi:10.1109/samos.2017.8344645 dblp:conf/samos/SilvanoABBBBBCC17 fatcat:5nl4ake6v5fulhhwtl66i5hhqy

An Intelligent Task Scheduling Mechanism for Autonomous Vehicles via Deep Learning

Gomatheeshwari Balasekaran, Selvakumar Jayakumar, Rocío Pérez de Prado
2021 Energies  
The main problem in providing better safe driving requires an efficient inference system for real-time task management and autonomous control.  ...  This paper addressed these challenges and developed an intelligent task management system for IoT-based autonomous vehicles.  ...  Author Contributions: The paper investigation, resources, data curation, writing-original draft preparation, writing-review and editing, visualization, were done by G.B.  ... 
doi:10.3390/en14061788 fatcat:q7ksrt7tdbbgfckyklcdrjlq5e

Safe AI – How is this Possible? [article]

Harald Rueß, Simon Burton
2022 arXiv   pre-print
We outline some of underlying challenges of safe AI and suggest a rigorous engineering framework for minimizing uncertainty, thereby increasing confidence, up to tolerable levels, in the safe behavior  ...  Ttraditional safety engineering is coming to a turning point moving from deterministic, non-evolving systems operating in well-defined contexts to increasingly autonomous and learning-enabled AI systems  ...  Rigorous approaches for safe AI need to manage the multitude and heterogeneity of sources of uncertainty.  ... 
arXiv:2201.10436v2 fatcat:lu5ibn3qc5hormd4w6zjmszplq

Cooperative, Connected and Automated Mobility (CCAM): Technologies and Applications

Joaquim Ferreira
2019 Electronics  
The advent of cooperative connected and automated mobility (CCAM) has the potential to fundamentally change the mobility paradigm towards mobility as a service, contributing to more safe, efficient and  ...  comfortable transportation systems [...]  ...  Acknowledgments: I would like to thank all of the authors who submitted articles to this Special Issue for their valuable contributions, and to all the reviewers who helped in the evaluation of the manuscripts  ... 
doi:10.3390/electronics8121549 fatcat:wy3ocj5r4fbknc3l4k34gfk2r4

D2.1 Requirements, KPIs, evaluation plan and architecture - First version

Luciano Baresi
2020 Zenodo  
The UML use cases and the architecture presented in this deliverable have been defined with the contribution of all partners in the project and constitute the main guidelines that will steer the work in  ...  In particular, D6.1, among the other data, provides a list of the used technologies with the corresponding references, the time plan for the development of the SODALITE platform, as well as the implementation  ...  Acknowledgement The work described in this document has been conducted within the Research & Innovation action SODALITE (project no. 825480), started in February 2019, and co-funded by the European Commis  ... 
doi:10.5281/zenodo.4280682 fatcat:ajp6mvopmfhdlgr2gj7g4cep4e

ParaDIME: Parallel Distributed Infrastructure for Minimization of Energy for data centers

Santhosh Kumar Rethinagiri, Oscar Palomar, Anita Sobe, Gulay Yalcin, Thomas Knauth, Rubén Titos Gil, Pablo Prieto, Malte Schneegaß, Adrian Cristal, Osman Unsal, Pascal Felber, Christof Fetzer (+1 others)
2015 Microprocessors and microsystems  
The major outcome of the project will be a noval processor architecture for a heterogeneous distributed system that utilizes future device characteristics, runtime and programming model for drastic energy  ...  In particular, the ParaDIME framework will utilize: circuit and architecture operation below safe voltage limits for drastic energy savings, specialized energy-aware computing accelerators, heterogeneous  ...  In ParaDIME, we target the static energy profiles towards data-centers, i.e., we can use the energy profiles for managing the allocation of VMs and any runtime-level decision.  ... 
doi:10.1016/j.micpro.2015.06.005 fatcat:inq37mlavzhzvog7jdnxk2dde4
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