English
Related papers

Related papers: Minos: Exploiting Cloud Performance Variation with…

200 papers

Serverless computing paradigm has become more ingrained into the industry, as it offers a cheap alternative for application development and deployment. This new paradigm has also created new kinds of problems for the developer, who needs to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-14 Gor Safaryan , Anshul Jindal , Mohak Chadha , Michael Gerndt

Building high quality cloud applications becomes an urgently required research problem. Nonfunctional performance of cloud services is usually described by quality-of-service (QoS). In cloud applications, cloud services are invoked remotely…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-02-12 M. Subha , K. Saravanan

In this paper, we address the problem of supporting stateful workflows following a Function-as-a-Service (FaaS) model in edge networks. In particular we focus on the problem of data transfer, which can be a performance bottleneck due to the…

Networking and Internet Architecture · Computer Science 2022-09-05 Claudio Cicconetti , Marco Conti , Andrea Passarella

The Cloud Computing paradigm is providing system architects with a new powerful tool for building scalable applications. Clouds allow allocation of resources on a "pay-as-you-go" model, so that additional resources can be requested during…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-17 Moreno Marzolla , Raffaela Mirandola

Serverless computing is increasingly popular because of its lower cost and easier deployment. Several cloud service providers (CSPs) offer serverless computing on their public clouds, but it may bring the vendor lock-in risk. To avoid this…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-08 Junfeng Li , Sameer G. Kulkarni , K. K. Ramakrishnan , Dan Li

Cloud systems are complex, large, and dynamic systems whose behavior must be continuously analyzed to timely detect misbehaviors and failures. Although there are solutions to flexibly monitor cloud systems, cost-effectively controlling the…

Software Engineering · Computer Science 2019-09-19 Marco Mobilio , Matteo Orrù , Oliviero Riganelli , Alessandro Tundo , Leonardo Mariani

Agentic workflows that use autonomous AI Agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP) servers is rapidly rising. This introduces challenges in scalable cloud deployment and state management. Traditional…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Varad Kulkarni , Vaibhav Jha , Nikhil Reddy , Anand Eswaran , Praveen Jayachandran , Yogesh Simmhan

Cloud computing, despite its inherent advantages (e.g., resource efficiency) still faces several challenges. the wide are network used to connect the cloud to end-users could cause high latency, which may not be tolerable for some…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-22 Carla Mouradian , Fereshteh Ebrahimnezhad , Yassine Jebbar , Jasmeen Kaur Ahluwalia , Seyedeh Negar Afrasiabi , Roch H. Glitho , Ashok Moghe

The IoT area has grown significantly in the last few years and is expected to reach a gigantic amount of 50 billion devices by 2020. The appearance of serverless architectures, specifically highlighting FaaS, raises the question of the of…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-15 Duarte Pinto , João Pedro Dias , Hugo Sereno Ferreira

Cloud providers sell their idle capacity on markets through an auction-like mechanism to increase their return on investment. The instances sold in this way are called spot instances. In spite that spot instances are usually 90% cheaper…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-08 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

Serverless computing has gained a strong traction in the cloud computing community in recent years. Among the many benefits of this novel computing model, the rapid auto-scaling capability of user applications takes prominence. However, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-23 Anupama Mampage , Shanika Karunasekera , Rajkumar Buyya

Functions as a Service has emerged as a popular abstraction for a wide range of cloud applications and an important cloud workload. We present the design and implementation of FaasMeter, a FaaS control plane which provides energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-13 Abdul Rehman , Alexander Fuerst , Prateek Sharma

The source code of Function as a Service (FaaS) applications is constantly being refined. To detect if a source code change introduces a significant performance regression, the traditional benchmarking approach evaluates both the old and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-08 Martin Grambow , Tim Dockenfuß , Trever Schirmer , Nils Japke , David Bermbach

WebAssembly has emerged as a lightweight and portable runtime to execute serverless functions, particularly in heterogeneous and resource-constrained environments such as the Edge Cloud Continuum. However, the performance benefits versus…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-08 Cynthia Marcelino , Noah Krennmair , Thomas Pusztai , Stefan Nastic

Datacenters are witnessing a rapid surge in the adoption of serverless functions for microservices-based applications. A vast majority of these microservices typically span less than a second, have strict SLO requirements, and are chained…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-01 Jashwant Raj Gunasekaran , Prashanth Thinakaran , Nachiappan Chidambaram , Mahmut T. Kandemir , Chita R. Das

Cloud Computing is an emerging area for accessing computing resources. In general, Cloud service providers offer services that can be clustered into three categories: SaaS, PaaS and IaaS. This paper discusses the Cloud workload analysis.…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-02-14 Sukhpal Singh , Inderveer Chana

A non-invasive, cloud-agnostic approach is demonstrated for extending existing cloud platforms to include checkpoint-restart capability. Most cloud platforms currently rely on each application to provide its own fault tolerance. A uniform…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-24 Jiajun Cao , Matthieu Simonin , Gene Cooperman , Christine Morin

Serverless computing is an emerging cloud computing paradigm that can reduce costs for cloud providers and their customers. However, serverless cloud platforms have stringent performance requirements (due to the need to execute short…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-04 S. Qi , H. Moore , N. Hogade , D. Milojicic , C. Bash , S. Pasricha

Serverless platforms face a trade-off: conventional cluster managers like Kubernetes offer compatibility for co-locating Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) components of serverless applications, at the cost of high…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-07 Leonid Kondrashov , Lazar Cvetković , Hancheng Wang , Boxi Zhou , Dmitrii Ustiugov

The new era of computing called Cloud Computing allows the user to access the cloud services dynamically over the Internet wherever and whenever needed. Cloud consists of data and resources; and the cloud services include the delivery of…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-27 A. Anasuya Threse Innocent
‹ Prev 1 8 9 10 Next ›