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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

Function-as-a-service (FaaS) is a popular serverless computing paradigm for developing event-driven functions that elastically scale on public clouds. FaaS workflows, such as AWS Step Functions and Azure Durable Functions, are composed from…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-28 Varad Kulkarni , Nikhil Reddy , Tuhin Khare , Abhinandan S. Prasad , Chitra Babu , Yogesh Simmhan

Dynamic offloading of Machine Learning (ML) model partitions across different resource orchestration services, such as Function-as-a-Service (FaaS) and Infrastructure-as-a-Service (IaaS), can balance processing and transmission delays while…

Machine Learning · Computer Science 2025-11-03 Zongshun Zhang , Ibrahim Matta

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

Function-as-a-Service (FaaS) is a promising paradigm for applications distributed across the edge-cloud continuum. FaaS functions are stateless by nature, leading to high elasticity and transparent invocation. Supporting stateful…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-31 Tobias Pfandzelter , David Bermbach

Increasing popularity of the serverless computing approach has led to the emergence of new cloud infrastructures working in Container-as-a-Service (CaaS) model like AWS Fargate, Google Cloud Run, or Azure Container Instances. They introduce…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-23 Krzysztof Burkat , Maciej Pawlik , Bartosz Balis , Maciej Malawski , Karan Vahi , Mats Rynge , Rafael Ferreira da Silva , Ewa Deelman

Elasticity is one important feature in modern cloud computing systems and can result in computation failure or significantly increase computing time. Such elasticity means that virtual machines over the cloud can be preempted under a short…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-26 Mingyue Ji , Xiang Zhang , Kai Wan

Financial exchanges are migrating to the cloud, but the best-effort nature of the public cloud is at odds with the stringent latency requirements of exchanges. We present Jasper, a system for meeting the networking requirements of financial…

Networking and Internet Architecture · Computer Science 2025-04-21 Muhammad Haseeb , Jinkun Geng , Daniel Duclos-Cavalcanti , Ulysses Butler , Xiyu Hao , Radhika Mittal , Srinivas Narayana , Anirudh Sivaraman

Cloud object storage such as AWS S3 is cost-effective and highly elastic but relatively slow, while high-performance cloud storage such as AWS ElastiCache is expensive and provides limited elasticity. We present a new cloud storage service…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-20 Jingyuan Zhang , Ao Wang , Xiaolong Ma , Benjamin Carver , Nicholas John Newman , Ali Anwar , Lukas Rupprecht , Dimitrios Skourtis , Vasily Tarasov , Feng Yan , Yue Cheng

AWS Lambda is a serverless event-driven compute service, part of a category of cloud compute offerings sometimes called Function-as-a-service (FaaS). When we first released AWS Lambda, functions were limited to 250MB of code and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-25 Marc Brooker , Mike Danilov , Chris Greenwood , Phil Piwonka

With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-21 Stefan Schulte , Christian Janiesch , Srikumar Venugopal , Ingo Weber , Philipp Hoenisch

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

Online services strive to maintain application responsiveness even when the traffic is unpredictable and fluctuating. Today's online services are commonly deployed as chains of microservices, each microservice packaged as one or more…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-25 Dilina Dehigama , Shyam Jesalpura , David Schall , Antonios Katsarakis , Marios Kogias , Rakesh Kumar , Boris Grot

A key challenge for supporting elastic behaviour in cloud systems is to achieve a good performance in automated (de-)provisioning and scheduling of computing resources. One of the key aspects that can be significant is the overheads…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-31 Víctor Medel , Rafael Tolosana-Calasanz , José Ángel Bañares , Unai Arronategui , Omer F. Rana

The Function-as-a-Service (FaaS) execution model increases developer productivity by removing operational concerns such as managing hardware or software runtimes. Developers, however, still need to partition their applications into FaaS…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-22 Trever Schirmer , Joel Scheuner , Tobias Pfandzelter , David Bermbach

In an overloaded FaaS cluster, individual worker nodes strain under lengthening queues of requests. Although the cluster might be eventually horizontally-scaled, adding a new node takes dozens of seconds. As serving applications are tuned…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-01 Paweł Żuk , Bartłomiej Przybylski , Krzysztof Rzadca

Cloud computing has established itself as the support for the vast majority of emerging technologies, mainly due to the characteristic of elasticity it offers. Auto-scalers are the systems that enable this elasticity by acquiring and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-24 Víctor Rampérez , Javier Soriano , David Lizcano , Juan A. Lara

For distributed applications to take full advantage of cloud computing systems, we need middleware systems that allow developers to build elasticity management components right into the applications. This paper describes the design and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-10 K. R. Jayaram

Function-as-a-Service (FaaS) is a cloud service model enabling developers to offload event-driven executable snippets of code. The execution and management of such functions becomes a FaaS provider's responsibility, hereby included their…

Software Engineering · Computer Science 2020-04-03 Vladimir Yussupov , Jacopo Soldani , Uwe Breitenbücher , Antonio Brogi , Frank Leymann

Elasticity is offered by cloud service providers to exploit under-utilized computing resources. The low-cost elastic nodes can leave and join any time during the computation cycle. The possibility of elastic events occurring together with…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-24 Shahrzad Kiani , Tharindu Adikari , Stark C. Draper