English
Related papers

Related papers: Truthful Online Scheduling of Cloud Workloads unde…

200 papers

Database platform-as-a-service (dbPaaS) is developing rapidly and a large number of databases have been migrated to run on the Clouds for the low cost and flexibility. Emerging Clouds rely on the tenants to provide the resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-30 Ningxin Zheng , Quan Chen , Yong Yang , Wei Zhang , Jin Li , Wenli Zheng , Minyi Guo

Volunteer computing is an Internet-based distributed computing system in which volunteers share their extra available resources to manage large-scale tasks. However, computing devices in a Volunteer Computing System (VCS) are highly dynamic…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-30 Farooq Hoseiny , Sadoon Azizi , Mohammad Shojafar , Rahim Tafazolli

Recent advances in modern containerized execution environments have resulted in substantial benefits in terms of elasticity and more efficient utilization of computing resources. Although existing schedulers strive to optimize performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Dimitrios Tomaras , Vana Kalogeraki , Dimitrios Gunopulos

In recent years with the advent of high bandwidth internet access availability, the cloud computing applications have boomed. With more and more applications being run over the cloud and an increase in the overall user base of the different…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-25 Sandeep Kumar Patel , Avtar Singh

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

We study online interval scheduling in the irrevocable setting, where each interval must be immediately accepted or rejected upon arrival. The objective is to maximize the total length of accepted intervals while ensuring that no two…

Machine Learning · Computer Science 2025-11-21 Antonios Antoniadis , Ali Shahheidar , Golnoosh Shahkarami , Abolfazl Soltani

Cloud computing provides engineers or scientists a place to run complex computing tasks. Finding a workflow's deployment configuration in a cloud environment is not easy. Traditional workflow scheduling algorithms were based on some…

Software Engineering · Computer Science 2018-04-24 Jianfeng Chen , Tim Menzies

Current serverless platforms struggle to optimize resource utilization due to their dynamic and fine-grained nature. Conventional techniques like overcommitment and autoscaling fall short, often sacrificing utilization for practicability or…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-04 Qingyuan Liu , Yanning Yang , Dong Du , Yubin Xia , Ping Zhang , Jia Feng , James Larus , Haibo Chen

We consider a scheduling problem where machines need to be rented from the cloud in order to process jobs. There are two types of machines available which can be rented for machine-type dependent prices and for arbitrary durations. However,…

Data Structures and Algorithms · Computer Science 2016-12-22 Alexander Mäcker , Manuel Malatyali , Friedhelm Meyer auf der Heide , Sören Riechers

Robotic Mobile Fulfillment Systems (RMFS) rely on mobile robots for automated inventory transportation, coordinating order allocation and robot scheduling to enhance warehousing efficiency. However, optimizing RMFS is challenging due to…

Artificial Intelligence · Computer Science 2026-05-06 Yibang Tang , Yifan Yang , Jingyuan Wang , Junhua Chen , Zhen Zhao

In online scheduling, jobs are available one by one and each job must be scheduled irrevocably before the availability of the next job. Semi-online scheduling is a relaxed variant of online scheduling, where an additional memory in terms of…

Data Structures and Algorithms · Computer Science 2020-05-19 Debasis Dwibedy , Rakesh Mohanty

We study the problem of scheduling delay-sensitive jobs over spot and on-demand cloud instances to minimize average cost while meeting an average delay constraint. Jobs arrive as a general stochastic process, and incur different costs based…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Neelkamal Bhuyan , Randeep Bhatia , Murali Kodialam , TV Lakshman

Currently, it is urgent to ensure QoS in distributed computing systems. This became especially important to the development and spread of cloud services. Big data structures become heavily distributed. Necessary to consider the…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-18 Evgeniy Pluzhnik , Evgeniy Nikulchev , Simon Payain

Co-scheduling of jobs in data-centers is a challenging scenario, where jobs can compete for resources yielding to severe slowdowns or failed executions. Efficient job placement on environments where resources are shared requires awareness…

Machine Learning · Computer Science 2020-07-07 David Buchaca Prats , Joan Marcual , Josep Lluís Berral , David Carrera

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

Recent years have witnessed a rapid growth of distributed machine learning (ML) frameworks, which exploit the massive parallelism of computing clusters to expedite ML training. However, the proliferation of distributed ML frameworks also…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-16 Menglu Yu , Jia Liu , Chuan Wu , Bo Ji , Elizabeth S. Bentley

Multi-server jobs are imperative in modern cloud computing systems. A noteworthy feature of multi-server jobs is that, they usually request multiple computing devices simultaneously for their execution. How to schedule multi-server jobs…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-18 Hailiang Zhao , Shuiguang Deng , Feiyi Chen , Jianwei Yin , Schahram Dustdar , Albert Y. Zomaya

As cloud computing is increasingly transforming the information technology landscape, organizations and businesses are exhibiting strong interest in Software-as-a-Service (SaaS) offerings that can help them increase business agility and…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-11 Elarbi Badidi

Cloud computing is an increasingly popular computing paradigm, now proving a necessity for utility computing services. Each provider offers a unique service portfolio with a range of resource configurations. Resource provisioning for cloud…

Networking and Internet Architecture · Computer Science 2016-11-17 Mohamed Abu Sharkh , Manar Jammal , Abdallah Shami , Abdelkader Ouda

Abstract The cloud computing is a key computing approach adopted by many organizations in order to share resources. It provides Everything As-A-Service (XaaS). Software-As-A-Service is an important resource on the cloud computing…

Software Engineering · Computer Science 2019-05-28 Dhanamma Jagli , Seema Purohit , N. Subash Chandra