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We present a framework for scheduling multifunction serverless applications over a hybrid public-private cloud. A set of serverless jobs is input as a batch, and the objective is to schedule function executions over the hybrid platform to…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-09 Anirban Das , Andrew Leaf , Carlos A. Varela , Stacy Patterson

Much like on-premises systems, the natural choice for running database analytics workloads in the cloud is to provision a cluster of nodes to run a database instance. However, analytics workloads are often bursty or low volume, leaving…

Databases · Computer Science 2019-11-27 Matthew Perron , Raul Castro Fernandez , David DeWitt , Samuel Madden

Web applications, accessible via web browsers over the Internet, facilitate complex functionalities without local software installation. In the context of web applications, a workload refers to the number of user requests sent by users or…

Software Engineering · Computer Science 2024-09-20 Roozbeh Aghili , Qiaolin Qin , Heng Li , Foutse Khomh

Functions-as-a-Service (FaaS) is a Serverless Cloud paradigm where a platform manages the scheduling (e.g., resource allocation, runtime environments) of stateless functions. Recent work proposed using domain-specific languages to express…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-24 Giuseppe De Palma , Saverio Giallorenzo , Jacopo Mauro , Matteo Trentin , Gianluigi Zavattaro

Cloud computing has gained interest amongst commercial organizations, research communities, developers and other individuals during the past few years.In order to move ahead with research in field of data management and processing of such…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-08 Mansaf Alam , Kashish Ara Shakil , Shuchi Sethi

Context. While in serverless computing, application resource management and operational concerns are generally delegated to the cloud provider, ensuring that serverless applications meet their performance requirements is still a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-29 Simon Eismann , Diego Elias Costa , Lizhi Liao , Cor-Paul Bezemer , Weiyi Shang , André van Hoorn , Samuel Kounev

The information flows in serverless platforms are complex and non-conservative. This is a direct result of how independently deployed functions interact under the platform coarse-grained control mechanisms. To manage this complexity, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-12 Gianluca Reali , Mauro Femminella

The serverless and functions as a service (FaaS) paradigms are currently trending among cloud providers and are now increasingly being applied to the network edge, and to the Internet of Things (IoT) devices. The benefits include reduced…

Networking and Internet Architecture · Computer Science 2021-03-23 Pekka Karhula , Jan Janak , Henning Schulzrinne

Serverless computing is a growing and maturing field that is the focus of much research, industry interest and adoption. Previous works exploring Functions-as-a-Service providers have focused primarily on the most well known providers AWS…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-04 Nnamdi Ekwe-Ekwe , Lucas Amos

FaaS offers significant advantages with its infrastructure abstraction, on-demand execution, and attractive no idle resource pricing for modern cloud applications. Despite these benefits, challenges such as startup latencies, static…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-11 Siddharth Agarwal , Maria A. Rodriguez , Rajkumar Buyya

We study the design of caching policies in applications such as serverless computing where there is not a fixed size cache to be filled, but rather there is a cost associated with the time an item stays in the cache. We present a model for…

Computer Science and Game Theory · Computer Science 2023-09-08 Sushirdeep Narayana , Ian A. Kash

Ensuring the reliability of cloud systems is critical for both cloud vendors and customers. Cloud systems often rely on virtualization techniques to create instances of hardware resources, such as virtual machines. However, virtualization…

Software Engineering · Computer Science 2023-08-16 Jinyang Liu , Zhihan Jiang , Jiazhen Gu , Junjie Huang , Zhuangbin Chen , Cong Feng , Zengyin Yang , Yongqiang Yang , Michael R. Lyu

Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these details e.g., to increase…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-20 Gabor Kecskemeti , Zsolt Nemeth , Attila Kertesz , Rajiv Ranjan

Function-as-a-Service (FaaS) has recently emerged as a new cloud computing paradigm. It promises high utilization of data center resources through allocating resources on demand at per-function request granularity. High cold-start…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-29 Yue Tan , David Liu , Nanqinqin Li , Amit Levy

Serverless computing and stream processing represent two dominant paradigms for event-driven data processing, yet both make assumptions that render them inefficient for short-running, lightweight, and unpredictable streams that require…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-04 Natalie Carl , Niklas Kowallik , Constantin Stahl , Trever Schirmer , Tobias Pfandzelter , David Bermbach

Cloud-based serverless computing systems, either public or privately provisioned, aim to provide the illusion of infinite resources and abstract users from details of the allocation decisions. With the goal of providing a low cost and a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-25 Chavit Denninnart

The dynamic nature of resource allocation and runtime conditions on Cloud can result in high variability in a job's runtime across multiple iterations, leading to a poor experience. Identifying the sources of such variation and being able…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-10 Yiwen Zhu , Rathijit Sen , Robert Horton , John Mark , Agosta

Users of cloud computing are overwhelmed with choice, even within the services offered by one provider. As such, many users select cloud services based on description alone. We investigate the degree to which such strategy is optimal. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-13 Yehia Elkhatib , Faiza Samreen , Gordon S. Blair

Serverless computing, with its operational simplicity and on-demand scalability, has become a preferred paradigm for deploying workflow applications. However, resource allocation for workflows, particularly those with branching structures,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-10 Long Chen , Xinshuai Hua , Jinquan Zhang , Wenshuai Li , Xiaoping Li , Shijie Guo

Developing accurate and extendable performance models for serverless platforms, aka Function-as-a-Service (FaaS) platforms, is a very challenging task. Also, implementation and experimentation on real serverless platforms is both costly and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-18 Nima Mahmoudi , Hamzeh Khazaei
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