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In languages like C, buffer overflows are widespread. A common mitigation technique is to use tools that detect them during execution and abort the program to prevent the leakage of data or the diversion of control flow. However, for server…

Cryptography and Security · Computer Science 2018-11-26 Manuel Rigger , Daniel Pekarek , Hanspeter Mössenböck

Effective activity and event monitoring is an essential aspect of digital forensic readiness. Techniques for capturing log and other event data are familiar from conventional networked hosts and transfer directly to the Cloud context. In…

Cryptography and Security · Computer Science 2024-05-06 George R. S. Weir , Andreas Aßmuth

As contemporary software-intensive systems reach increasingly large scale, it is imperative that failure detection schemes be developed to help prevent costly system downtimes. A promising direction towards the construction of such schemes…

Applications · Statistics 2016-09-27 Alexey Artemov , Evgeny Burnaev

IoT systems complexity and susceptibility to failures pose significant challenges in ensuring their reliable operation Failures can be internally generated or caused by external factors impacting both the systems correctness and its…

Performance unpredictability in cloud services leads to poor user experience, degraded availability, and has revenue ramifications. Detecting performance degradation a posteriori helps the system take corrective action, but does not avoid…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-25 Yu Gan , Meghna Pancholi , Dailun Cheng , Siyuan Hu , Yuan He , Christina Delimitrou

Reliability is extremely important for large-scale cloud systems like Microsoft 365. Cloud failures such as disk failure, node failure, etc. threaten service reliability, resulting in online service interruptions and economic loss. Existing…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-07 Fangkai Yang , Wenjie Yin , Lu Wang , Tianci Li , Pu Zhao , Bo Liu , Paul Wang , Bo Qiao , Yudong Liu , Mårten Björkman , Saravan Rajmohan , Qingwei Lin , Dongmei Zhang

Learning effective configurations in computer systems without hand-crafting models for every parameter is a long-standing problem. This paper investigates the use of deep reinforcement learning for runtime parameters of cloud databases…

Machine Learning · Computer Science 2016-11-01 Michael Schaarschmidt , Felix Gessert , Valentin Dalibard , Eiko Yoneki

Serverless computing is an emerging cloud paradigm with serverless functions at its core. While serverless environments enable software developers to focus on developing applications without the need to actively manage the underlying…

Cryptography and Security · Computer Science 2024-08-06 Danielle Lavi , Oleg Brodt , Dudu Mimran , Yuval Elovici , Asaf Shabtai

Modern large-scale data-farms consist of hundreds of thousands of storage devices that span distributed infrastructure. Devices used in modern data centers (such as controllers, links, SSD- and HDD-disks) can fail due to hardware as well as…

We consider the problem of failure detection in dynamic networks such as MANETs. Unreliable failure detectors are classical mechanisms which provide information about process failures. However, most of current implementations consider that…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-09 Pierre Sens , Luciana Arantes , Mathieu Bouillaguet , Véronique Martin , Fabiola Greve

Performance benchmarking is a common practice in software engineering, particularly when building large-scale, distributed, and data-intensive systems. While cloud environments offer several advantages for running benchmarks, it is often…

Software Engineering · Computer Science 2025-04-17 Sören Henning , Adriano Vogel , Esteban Perez-Wohlfeil , Otmar Ertl , Rick Rabiser

The prompt and accurate detection of faults and abnormalities in electric transmission lines is a critical challenge in smart grid systems. Existing methods mostly rely on model-based approaches, which may not capture all the aspects of…

Machine Learning · Computer Science 2020-09-16 Peyman Tehrani , Marco Levorato

The complexity and ubiquity of modern computing systems is a fertile ground for anomalies, including security and privacy breaches. In this paper, we propose a new methodology that addresses the practical challenges to implement anomaly…

Cryptography and Security · Computer Science 2020-06-17 Charles F. Gonçalves , Daniel S. Menasché , Alberto Avritzer , Nuno Antunes , Marco Vieira

The distributed nature of microservice architecture introduces significant resilience challenges. Traditional testing methods, limited by extensive manual effort and oversimplified test environments, fail to capture production system…

Software Engineering · Computer Science 2026-02-03 Zhuangbin Chen , Zhiling Deng , Kaiming Zhang , Yang Liu , Cheng Cui , Jinfeng Zhong , Zibin Zheng

When deploying mission-critical systems in the cloud, where deviations may have severe consequences, the assurance of critical decisions becomes essential. Typical cloud systems are operated by third parties and are built on complex…

Software Engineering · Computer Science 2023-12-20 Lev Sorokin , Ulrich Schoepp

Errors due to hardware or low level software problems, if detected, can be fixed by various schemes, such as recomputation from a checkpoint. Silent errors are errors in application state that have escaped low-level error detection. At…

Numerical Analysis · Computer Science 2018-01-08 Austin R. Benson , Sven Schmit , Robert Schreiber

Cloud networks increasingly rely on machine learning based Network Intrusion Detection Systems to defend against evolving cyber threats. However, real-world deployments are challenged by limited labeled data, non-stationary traffic, and…

Machine Learning · Computer Science 2026-04-15 Anasuya Chattopadhyay , Daniel Reti , Hans D. Schotten

Industrial Control Systems (ICS) are often built from geographically distributed components and often use programmable logic controllers for localized processes. Since verification of such systems is challenging because of both time…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-01 Ritam Ganguly , Borzoo Bonakdarpour

Recent research shows that colluded malware in different VMs sharing a single physical host may use a resource as a channel to leak critical information. Covert channels employ time or storage characteristics to transmit confidential…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-09 Mansaf Alam , Shuchi Sethi

We consider a centralized detection problem where sensors experience noisy measurements and intermittent connectivity to a centralized fusion center. The sensors collaborate locally within predefined sensor clusters and fuse their noisy…

Signal Processing · Electrical Eng. & Systems 2022-08-23 Michal Yemini , Stephanie Gil , Andrea J. Goldsmith