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Power and Energy Profiling of Scientific Applications on Distributed Systems

Xizhou Feng, Rong Ge, Kirk W. Cameron • IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2005)

Power consumption is a troublesome design constraint for emergent systems such as IBM's BlueGene /L. If current trends continue, future petaflop systems will require 100 megawatts of power to maintain high-performance. To address this probl...

OPENALEX DOI: https://doi.org/10.1109/ipdps.2005.346

The LOCUS Distributed System Architecture

Gerald J. Popek • The MIT Press eBooks (1986)

LOCUS, a distributed version of the popular operating system Unix, provides an excellent solution. It makes a collection of computers, whether they are workstations or mainframes, as easy to use as a single computer by providing a set of su...

OPENALEX DOI: https://doi.org/10.7551/mitpress/4279.001.0001

A performance study of monitoring and information services for distributed systems

X. Zhang, Jeffrey L. Freschl, Jennifer M. Schopf • ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) (2004)

Monitoring and information services form a key component of a distributed system, or Grid. A quantitative study of such services can aid in understanding the performance limitations, advise in the deployment of the monitoring system, and he...

OPENALEX Open Access DOI: https://doi.org/10.1109/hpdc.2003.1210036

Caching Hints in Distributed Systems

Doug Terry • IEEE Transactions on Software Engineering (1987)

Caching reduces the average cost of retrieving data by amortizing the lookup cost over several references to the data. Problems with maintaining strong cache consistency in a distributed system can be avoided by treating cached information ...

OPENALEX DOI: https://doi.org/10.1109/tse.1987.232834

Orca: a language for parallel programming of distributed systems

Henri E. Bal, M. Frans Kaashoek, Andrew S. Tanenbaum • IEEE Transactions on Software Engineering (1992)

A detailed description is given of the Orca language design and the design choices are discussed. Orca is intended for applications programmers rather than systems programmers. This is reflected in its design goals to provide a simple, easy...

OPENALEX Open Access DOI: https://doi.org/10.1109/32.126768

Verdi: a framework for implementing and formally verifying distributed systems

James R. Wilcox, Doug Woos, Pavel Panchekha, Zachary Tatlock et al. • ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) (2015)

Distributed systems are difficult to implement correctly because they must handle both concurrency and failures: machines may crash at arbitrary points and networks may reorder, drop, or duplicate packets. Further, their behavior is often t...

OPENALEX Open Access DOI: https://doi.org/10.1145/2737924.2737958

Monitoring distributed systems

Jeffrey J. Joyce, Greg Lomow, Konrad L. Slind, Brian W. Unger • ACM Transactions on Computer Systems (1987)

The monitoring of distributed systems involves the collection, interpretation, and display of information concerning the interactions among concurrently executing processes. This information and its display can support the debugging, testin...

OPENALEX Open Access DOI: https://doi.org/10.1145/13677.22723

Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures

Roman V. Yampolskiy, M. S. Spellchecker • arXiv (Cornell University) (2016)

In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the seriousness of future AI failures will steadily increase. AI S...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1610.07997

Organizational Learning from Cybersecurity Performance: Effects on Cybersecurity Investment Decisions

Faheem Ahmed Shaikh, Mikko T. Siponen • Information Systems Frontiers (2023)

Abstract IS literature has identified various economic, performance, and environmental factors affecting cybersecurity investment decisions. However, economic modeling approaches dominate, and research on cybersecurity performance as an ant...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10796-023-10404-7

Cybersecurity

Scott M. Shemwell • CRC Press eBooks (2025)

The beginning of this chapter briefly presents a few examples of scams and hacks that we have all experienced. The AT&T example is taken from a letter the author received explaining that some personal data was illegally obtained and how alo...

OPENALEX DOI: https://doi.org/10.1201/9781032679549-6

Human Performance in Cybersecurity: A Research Agenda

Michael W. Boyce, Katherine Muse Duma, Lawrence J. Hettinger, Thomas B. Malone et al. • Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2011)

This paper provides an overview of critical areas of human performance research required to support the development and deployment of effective cybersecurity systems. These areas include usability and security compliance, mitigation of huma...

OPENALEX DOI: https://doi.org/10.1177/1071181311551233

Machine learning in cybersecurity: a comprehensive survey

Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology (2020)

Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...

OPENALEX DOI: https://doi.org/10.1177/1548512920951275

Graph Mining for Cybersecurity: A Survey

Bo Yan, Cheng Hong Yang, Chuan Shi, Yong Fang et al. • ACM Transactions on Knowledge Discovery from Data (2023)

The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...

OPENALEX Open Access DOI: https://doi.org/10.1145/3610228

Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions

Mamoun Alazab, Swarna Priya Ramu, M. Parimala, Praveen Kumar Reddy Maddikunta et al. • IEEE Transactions on Industrial Informatics (2021)

Federated learning (FL) is a recent development in artificial intelligence, which is typically based on the concept of decentralized data. As cyberattacks are frequently happening in the various applications deployed in real time, most indu...

OPENALEX DOI: https://doi.org/10.1109/tii.2021.3119038