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Serverless execution and most notably the Function as a Service (FaaS) model got quite some attention during the recent years. As of today, all commercial and open source implementations follow the common practice of keeping the execution…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-02 Dániel Géhberger , Dávid Kovács

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

As AI systems evolve into distributed ecosystems with autonomous execution, asynchronous reasoning, and multi-agent coordination, the absence of scalable, decoupled governance poses a structural risk. Existing oversight mechanisms are…

Machine Learning · Computer Science 2025-08-28 Suyash Gaurav , Jukka Heikkonen , Jatin Chaudhary

Modern FaaS systems perform well in the case of repeat executions when function working sets stay small. However, these platforms are less effective when applied to more complex, large-scale and dynamic workloads. In this paper, we…

Operating Systems · Computer Science 2019-10-04 James Cadden , Thomas Unger , Yara Awad , Han Dong , Orran Krieger , Jonathan Appavoo

Function-as-a-Service (FaaS) platforms provide scalable and cost-efficient execution but suffer from increased latency and resource overheads in complex applications comprising multiple functions, particularly due to double billing when…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-11 Niklas Kowallik , Natalie Carl , Leon Pöllinger , Wei Wang , Sharan Santhanam , David Bermbach

Function-as-a-Service (FaaS) platforms and "serverless" cloud computing are becoming increasingly popular. Current FaaS offerings are targeted at stateless functions that do minimal I/O and communication. We argue that the benefits of…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-28 Vikram Sreekanti , Chenggang Wu , Xiayue Charles Lin , Johann Schleier-Smith , Jose M. Faleiro , Joseph E. Gonzalez , Joseph M. Hellerstein , Alexey Tumanov

The Function-as-a-Service (FaaS) paradigm has a lot of potential as a computing model for fog environments comprising both cloud and edge nodes. When the request rate exceeds capacity limits at the edge, some functions need to be offloaded…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-05 David Bermbach , Setareh Maghsudi , Jonathan Hasenburg , Tobias Pfandzelter

Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as in the Internet of Things. However, meeting the ever-growing and fluctuating demands for…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-18 Fatemeh Banaie , Karim Djemame , Abdulaziz Alhindi , Vasilios Kelefouras

Two emerging architectural paradigms, i.e., Software Defined Networking (SDN) and Network Function Virtualization (NFV), enable the deployment and management of Service Function Chains (SFCs). A SFC is an ordered sequence of abstract…

Cryptography and Security · Computer Science 2017-10-11 L. Durante , L. Seno , F. Valenza , A. Valenzano

Current Serverless abstractions (e.g., FaaS) poorly support non-functional requirements (e.g., QoS and constraints), are provider-dependent, and are incompatible with other cloud abstractions (e.g., databases). As a result, application…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-23 Pawissanutt Lertpongrujikorn , Hai Duc Nguyen , Mohsen Amini Salehi

Serverless computing is a paradigm in which the underlying infrastructure is fully managed by the provider, enabling applications and services to be executed with elastic resource provisioning and minimal operational overhead. A core model…

The increasing use of Internet of Things devices coincides with more communication and data movement in networks, which can exceed existing network capabilities. These devices often process sensor or user information, where data privacy and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-29 Daniel Habenicht , Kevin Kreutz , Soeren Becker , Jonathan Bader , Lauritz Thamsen , Odej Kao

Cloud Native Application CNApp (as a distributed system) is a collection of independent components (micro-services) interacting via communication protocols. This gives rise to present an abstract architecture of CNApp as dynamically…

Computation and Language · Computer Science 2025-07-24 Stanislaw Ambroszkiewicz , Waldemar Bartyna , Stanislaw Bylka

The primal problem with Internet of Things (IoT) solutions for smart cities is the lack of interoperability at various levels, and more predominately at the device level. While there exist multitude of platforms from multiple manufacturers,…

Systems and Control · Computer Science 2015-03-04 Prasant Misra , Vasanth Rajaraman , Kumaresh Dhotrad , Jay Warrior , Yogesh Simmhan

Due to the increased number of parameters and data in the pre-trained model exceeding a certain level, a foundation model (e.g., a large language model) can significantly improve downstream task performance and emerge with some novel…

Artificial Intelligence · Computer Science 2023-11-13 Wensheng Gan , Shicheng Wan , Philip S. Yu

Serverless functions provide elastic scaling and a fine-grained billing model, making Function-as-a-Service (FaaS) an attractive programming model. However, for distributed jobs that benefit from large-scale and dynamic parallelism, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-16 Marcin Copik , Roman Böhringer , Alexandru Calotoiu , Torsten Hoefler

This paper investigates a paradigm for offering artificial intelligence as a service (AI-aaS) on software-defined infrastructures (SDIs). The increasing complexity of networking and computing infrastructures is already driving the…

Machine Learning · Computer Science 2019-07-15 Saeedeh Parsaeefard , Iman Tabrizian , Alberto Leon-Garcia

The rapid growth of data generated from Internet of Things (IoTs) such as smart phones and smart home devices presents new challenges to cloud computing in transferring, storing, and processing the data. With increasingly more powerful edge…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-17 Runyu Jin , Qirui Yang

In Function-as-a-Service (FaaS) serverless, large applications are split into short-lived stateless functions. Deploying functions is mutually profitable: users need not be concerned with resource management, while providers can keep their…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-14 Yuxuan Zhao , Weikang Weng , Rob van Nieuwpoort , Alexandru Uta

5G and beyond support the deployment of vertical applications, which is particularly appealing in combination with network slicing and edge computing to create a logically isolated environment for executing customer services. Even if…

Networking and Internet Architecture · Computer Science 2024-05-08 Claudio Cicconetti , Raffaele Bruno , Andrea Passarella