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Modern web applications replicate their data across the globe and require strong consistency guarantees for their most critical data. These guarantees are usually provided via state-machine replication (SMR). Recent advances in SMR have…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-27 Vitor Enes , Carlos Baquero , Alexey Gotsman , Pierre Sutra

We present a simplified derivation of the optimal checkpoint interval in Young_1974 [1]. The optimal checkpoint interval derivation in [1] is based on minimizing the total lost time as an objective-function. Lost time is a function of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-25 Nirmal Raj Saxena , Saurabh Hukerikar , Mikolaj Blaz , Swapna Raj

Failures in Task-based Parallel Programming (TBPP) can severely degrade performance and result in incomplete or incorrect outcomes. Existing failure-handling approaches, including reactive, proactive, and resilient methods such as retry and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-31 Sicheng Zhou , Zhuozhao Li , Valérie Hayot-Sasson , Haochen Pan , Maxime Gonthier , J. Gregory Pauloski , Ryan Chard , Kyle Chard , Ian Foster

This paper establishes a novel analytical approach to quantify robustness of scheduling and battery management for battery supported cyber-physical systems. A dynamic schedulability test is introduced to determine whether tasks are…

Emerging Technologies · Computer Science 2011-11-28 Fumin Zhang , Zhenwu Shi , Shayok Mukhopadhyay

The proliferation of demanding applications and edge computing establishes the need for an efficient management of the underlying computing infrastructures, urging the providers to rethink their operational methods. In this paper, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-13 Theodoros Theodoropoulos , John Violos , Stylianos Tsanakas , Aris Leivadeas , Konstantinos Tserpes , Theodora Varvarigou

Pattern matching design verification has gained noticeable attention in semiconductor technologies as it can precisely identify more localized problematic areas (weakpoints) in the layout. To address these weakpoints, engineers adopt…

Other Computer Science · Computer Science 2018-05-29 Yongfu Li , Valerio Perez , I-Lun Tseng , Zhao Chuan Lee , Vikas Tripathi , Jason Khaw , Yoong Seang Jonathan Ong

In this paper, we study a fault-tolerant control for systems consisting of multiple homogeneous components such as parallel processing machines. This type of system is often more robust to uncertainty compared to those with a single…

Optimization and Control · Mathematics 2020-12-03 Jalal Arabneydi , Amir G. Aghdam

Reducing energy consumption is one of the key challenges in computing technology. One factor that contributes to high energy consumption is that all parts of the program are considered equally significant for the accuracy of the end-result.…

Fault-tolerance techniques depend on replication to enhance availability, albeit at the cost of increased infrastructure costs. This results in a fundamental trade-off: Fault-tolerant services must satisfy given availability and performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-16 Rasha Faqeh , Andrè Martin , Valerio Schiavoni , Pramod Bhatotia , Pascal Felber , Christof Fetzer

Acoustic-sensor-based soft error resilience is particularly promising, since it can verify the absence of soft errors and eliminate silent data corruptions at a low hardware cost. However, the state-of-the-art work incurs a significant…

Hardware Architecture · Computer Science 2022-02-22 Jianping Zeng , Hongjune Kim , Jaejin Lee , Changhee Jung

If embedded with command filter properly, the implementation of backstepping design could be dramatically simplified. In this paper, we introduce a command filter with time-varying gain and integrate it with backstepping design, resulting…

Systems and Control · Electrical Eng. & Systems 2022-01-11 Hefu Ye , Yongduan Song

Checkpointing to preserve training states is crucial during the development of Large Foundation Models (LFMs), for training resumption upon various failures or changes in GPU resources and parallelism configurations. In addition, saved…

Artificial Intelligence · Computer Science 2025-04-03 Borui Wan , Mingji Han , Yiyao Sheng , Yanghua Peng , Haibin Lin , Mofan Zhang , Zhichao Lai , Menghan Yu , Junda Zhang , Zuquan Song , Xin Liu , Chuan Wu

The operating point of a power system may change due to slow enough variations of the power injections. Rotating machines in the bulk system can absorb smooth changes in the dynamic states of the system. In this context, we present a novel…

Optimization and Control · Mathematics 2024-01-22 Gabriel Intriago , Holger Cevallos , Yu Zhang

Ensuring uninterrupted data flow in modern networks requires robust fault-tolerant mechanisms, especially in environments where reliability and responsiveness are critical. This paper presents the design and simulation of a fault-tolerant…

Networking and Internet Architecture · Computer Science 2025-08-21 Terlumun Gbaden , Mterorga Ukor , Grace Erdoo Ateata

We propose a novel adaptive reinforcement learning control approach for fault tolerant control of degrading systems that is not preceded by a fault detection and diagnosis step. Therefore, \textit{a priori} knowledge of faults that may…

Systems and Control · Electrical Eng. & Systems 2020-08-12 Ibrahim Ahmed , Marcos Quiñones-Grueiro , Gautam Biswas

Since the introduction of the GRPO algorithm, reinforcement learning (RL) has attracted increasing attention for LLM post-training, yet training efficiency remains a critical challenge. In mainstream RL frameworks, inference and training…

Machine Learning · Computer Science 2026-05-05 Jian Lu

Intermittently powered energy-harvesting devices enable new applications in inaccessible environments. Program executions must be robust to unpredictable power failures, introducing new challenges in programmability and correctness. One…

Programming Languages · Computer Science 2021-06-22 Milijana Surbatovich , Limin Jia , Brandon Lucia

The paper introduces robust independence tests with non-asymptotically guaranteed significance levels for stochastic linear time-invariant systems, assuming that the observed outputs are synchronous, which means that the systems are driven…

Machine Learning · Statistics 2023-08-07 Ambrus Tamás , Dániel Ágoston Bálint , Balázs Csanád Csáji

This paper introduces INCPrompt, an innovative continual learning solution that effectively addresses catastrophic forgetting. INCPrompt's key innovation lies in its use of adaptive key-learner and task-aware prompts that capture…

Machine Learning · Computer Science 2025-09-04 Zhiyuan Wang , Xiaoyang Qu , Jing Xiao , Bokui Chen , Jianzong Wang

Security assessment of large-scale, strongly nonlinear power grids containing thousands to millions of interacting components is a computationally expensive task. Targeting at reducing the computational cost, this paper introduces a…

Systems and Control · Computer Science 2017-11-01 Thanh Long Vu , Konstantin Turitsyn
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