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Accurately estimating workload runtime is a longstanding goal in computer systems, and plays a key role in efficient resource provisioning, latency minimization, and various other system management tasks. Runtime prediction is particularly…

Machine Learning · Computer Science 2025-03-11 Tianshu Huang , Arjun Ramesh , Emily Ruppel , Nuno Pereira , Anthony Rowe , Carlee Joe-Wong

Serverless computing simplifies deployment and scaling, yet cold-start latency remains a major performance bottleneck. Unlike prior work that treats mitigation as a black-box optimization, we study cold starts as a developer-visible design…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-19 Syed Salauddin Mohammad Tariq , Foyzul Hassan , Amiangshu Bosu , Probir Roy

Edge computing has enabled a large set of emerging edge applications by exploiting data proximity and offloading latency-sensitive and computation-intensive workloads to nearby edge servers. However, supporting edge application users at…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-24 Lei Huang , Zhiying Liang , Nikhil Sreekumar , Sumanth Kaushik Vishwanath , Cody Perakslis , Abhishek Chandra , Jon Weissman

Serverless computing that runs functions with auto-scaling is a popular task execution pattern in the cloud-native era. By connecting serverless functions into workflows, tenants can achieve complex functionality. Prior researches adopt the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-01 Zijun Li , Chuhao Xu , Quan Chen , Jieru Zhao , Chen Chen , Minyi Guo

The performance of data intensive applications is often dominated by their input/output (I/O) operations but the I/O stack of systems is complex and severely depends on system specific settings and hardware components. This situation makes…

Performance · Computer Science 2023-06-12 Masoud Gholami , Florian Schintke

Function-as-a-Service (FaaS) has become a central paradigm in serverless cloud computing, yet optimizing FaaS deployments remains challenging. Using function fusion, multiple functions can be combined into a single deployment unit, which…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-19 Niklas Kowallik , Trever Schirmer , David Bermbach

Streaming, big data applications face challenges in creating scalable data flow pipelines, in which multiple data streams must be collected, stored, queried, and analyzed. These data sources are characterized by their volume (in terms of…

Databases · Computer Science 2014-07-23 Scott M. Sawyer , B. David O'Gwynn

Debugging and monitoring programs are integral to engineering and deploying software. Dynamic analyses monitor applications through source code or IR injection, machine code or bytecode rewriting, and virtual machine or direct hardware…

Software Engineering · Computer Science 2025-04-30 Elizabeth Gilbert , Matthew Schneider , Zixi An , Suhas Thalanki , Wavid Bowman , Alexander Bai , Ben L. Titzer , Heather Miller

Modern Cyber-physical Systems (CPS) include applications like smart traffic, smart agriculture, smart power grid, etc. Commonly, these systems are distributed and composed of end-user applications and microservices that typically run in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-24 Lubomír Bulej , Tomáš Bureš , Adam Filandr , Petr Hnětynka , Iveta Hnětynkova , Jan Pacovský , Gabor Sandor , Ilias Gerostathopoulos

WebAssembly's (Wasm) monolithic linear memory model facilitates memory corruption attacks that can escalate to cross-site scripting in browsers or go undetected when a malicious host tampers with a module's state. Existing defenses rely on…

Cryptography and Security · Computer Science 2026-03-26 Oussama Draissi , Mark Günzel , Ahmad-Reza Sadeghi , Lucas Davi

Serverless Function-as-a-Service (FaaS) platforms provide applications with resources that are highly elastic, quick to instantiate, accounted at fine granularity, and without the need for explicit runtime resource orchestration. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-02 Michael Wawrzoniak , Rodrigo Bruno , Ana Klimovic , Gustavo Alonso

Elasticity is one of key features of cloud computing. Elasticity allows Software as a Service (SaaS) applications' provider to reduce cost of running applications. In large SaaS applications that are developed using service-oriented…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-07 Ashraf A. Shahin

Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks. Serverless applications follow this model, where the application…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-28 Anshul Jindal , Mohak Chadha , Shajulin Benedict , Michael Gerndt

Function-as-a-Service (FaaS) enables developers to run serverless applications without managing operational tasks. In current FaaS platforms, both synchronous and asynchronous calls are executed immediately. In this paper, we present…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-27 Trever Schirmer , Natalie Carl , Tobias Pfandzelter , David Bermbach

Anomaly detection is widely used in a broad range of domains from cybersecurity to manufacturing, finance, and so on. Deep learning based anomaly detection has recently drawn much attention because of its superior capability of recognizing…

Machine Learning · Computer Science 2023-05-23 Ronit Das , Tie Luo

Smart cities and pervasive IoT deployments have generated interest in IoT data analysis across transportation and urban planning. At the same time, Large Language Models offer a new interface for exploring IoT data - particularly through…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-18 Kausar Patherya , Ashutosh Dhekne , Francisco Romero

Edge computing has emerged as a pivotal technology, offering significant advantages such as low latency, enhanced data security, and reduced reliance on centralized cloud infrastructure. These benefits are crucial for applications requiring…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-24 Tomasz Szydlo , Viacheslav Horbanov , Devki Nandan Jha , Shashikant Ilager , Aleksander Slominski , Rajiv Ranjan

Nowadays, we are witnessing the advent of the Internet of Things (EC) with numerous devices performing interactions between them or with end users. The huge number of devices leads to huge volumes of collected data that demand the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-13 Panagiotis Oikonomou , Anna Karanika , Christos Anagnostopoulos , Kostas Kolomvatsos

Rapid adoption of the serverless (or Function-as-a-Service, FaaS) paradigm, pioneered by Amazon with AWS Lambda and followed by numerous commercial offerings and open source projects, introduces new challenges in designing the cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-01 Ping-Min Lin , Alex Glikson

Modern Edge-to-Cloud (E2C) systems require fine-grained observability to ensure adaptive behavior and compliance with performance objectives across heterogeneous and dynamic environments. This work introduces an application-level…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-22 Kaddour Sidi , Daniel Balouek , Baptiste Jonglez
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