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Related papers: Adaptive Dispatching of Tasks in the Cloud

200 papers

Cloud computing has motivated renewed interest in resource allocation problems with new consumption models. A common goal is to share a resource, such as CPU or I/O bandwidth, among distinct users with different demand patterns as well as…

Data Structures and Algorithms · Computer Science 2021-01-27 Sebastian Perez-Salazar , Ishai Menache , Mohit Singh , Alejandro Toriello

Cloud computing infrastructures increasingly rely on geographically distributed data centers to meet the growing demand for low latency, high availability, and cost-efficient service delivery. In this context, load balancing plays a…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-12 Saeid Aghasoleymani Najafabadi , Elaheh Nabavi Nia

Cloud computing is widely adopted by corporate as well as retail customers to reduce the upfront cost of establishing computing infrastructure. However, switching to the cloud based services poses a multitude of questions, both for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-22 M P Gilesh

Multi-robot task allocation is a ubiquitous problem in robotics due to its applicability in a variety of scenarios. Adaptive task-allocation algorithms account for unknown disturbances and unpredicted phenomena in the environment where…

Robotics · Computer Science 2020-11-11 Yousef Emam , Gennaro Notomista , Paul Glotfelter , Magnus Egerstedt

Dynamic nature of the cloud environment has made distributed resource management process a challenge for cloud service providers. The importance of maintaining the quality of service in accordance with customer expectations as well as the…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-08 Sara Kardani-Moghaddam , Rajkumar Buyya , Kotagiri Ramamohanarao

Cloud resource management is often modeled by two-dimensional bin packing with a set of items that correspond to tasks having fixed CPU and memory requirements. However, applications running in clouds are much more flexible: modern…

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

Distributed computing, such as cloud computing, provides promising platforms to execute multiple workflows. Workflow scheduling plays an important role in multi-workflow execution with multi-objective requirements. Although there exist many…

Artificial Intelligence · Computer Science 2022-05-24 Feng Li , Wen Jun , Tan , Wentong , Cai

We consider robust resource allocation of services in Clouds. More specifically, we consider the case of a large public or private Cloud platform that runs a relatively small set of large and independent services. These services are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-22 Olivier Beaumont , Lionel Eyraud-Dubois , Paul Renaud-Goud

An increasing number of Analytics-as-a-Service solutions has recently seen the light, in the landscape of cloud-based services. These services allow flexible composition of compute and storage components, that create powerful data ingestion…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-16 Francesco Pace , Marco Milanesio , Daniele Venzano , Damiano Carra , Pietro Michiardi

Cloud Robotics is helping to create a new generation of robots that leverage the nearly unlimited resources of large data centers (i.e., the cloud), overcoming the limitations imposed by on-board resources. Different processing power,…

Robotics · Computer Science 2024-12-03 Saeid Alirezazadeh , Luís A. Alexandre

Cloud computing technology has been one of the most critical developments in provisioning both hardware and software infrastructure in recent years. Container technology is a new cloud technology that boosts the booting of applications,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-01 Abdullah Alelyani , Ghulam Mubasher Hassan , Amitava Datta

Efficient virtual machine load balancing scheduling is crucial in cloud computing to optimize resource utilization and system performance. To address this issue, several load balancing scheduling algorithms have been proposed, including…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Priyank Vaidya , Abhinav Sharma , Murli Patel

Serverless computing has emerged as a compelling new paradigm of cloud computing models in recent years. It promises the user services at large scale and low cost while eliminating the need for infrastructure management. On cloud provider…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-01 Lucia Schuler , Somaya Jamil , Niklas Kühl

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

Rapid advancements in cloud based platforms providing access to quantum computing capabilities have opened up several challenges for efficient usage of these highly delicate and costly devices. Although most of the current systems use a…

Quantum Physics · Physics 2026-05-19 Abhishek Sawaika , Udaya Parampalli , Rajkumar Buyya

Cloud-enabled large-scale distributed systems orchestrate resources and services from various providers in order to deliver high-quality software solutions to the end users. The space and structure created by such technological advancements…

Software Engineering · Computer Science 2018-08-14 Andreea Buga , Sorana Tania Nemes , Atif Mashkoor

We consider load balancing in service systems with affinity relations between jobs and servers. Specifically, an arriving job can be allocated to a fast, primary server from a particular selection associated with this job or to a secondary…

Probability · Mathematics 2018-12-31 Ellen Cardinaels , Sem C. Borst , Johan S. H. van Leeuwaarden

This paper presents a distributed resource selection mechanism for diverse cloud-edge environments, enabling dynamic and context-aware allocation of resources to meet the demands of complex distributed applications. By distributing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-10 Quentin Renau , Amjad Ullah , Emma Hart

High intensive computation applications can usually take days to months to finish an execution. During this time, it is common to have variations of the available resources when considering that such hardware is usually shared among a…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-27 Kiran Mantripragada , Alecio Binotto , Leonardo P. Tizzei

Cloud computing is an emerging technology in distributed computing which facilitates pay per model as per user demand and requirement.Cloud consist of a collection of virtual machine which includes both computational and storage facility.…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-04-09 Dr. Amit Agarwal , Saloni Jain