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Cloud and big data workloads are increasingly distributing data across multiple cloud providers and regions for rapid decision-making and analytics. Traditional transfer tools are typically specialized for a single paradigm, either stream…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-24 Muhammad Arslan Tariq , Grégoire Danoy , Pascal Bouvry

Fast, reliable, and efficient data transmission across wide-area networks is a predominant bottleneck for data-intensive cloud applications. This paper introduces OneDataShare, which is designed to eliminate the issues plaguing effective…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-11 Asif Imran , Md S Q Zulkar Nine , Kemal Guner , Tevfik Kosar

Today's Cloud applications are dominated by composite applications comprising multiple computing and data components with strong communication correlations among them. Although Cloud providers are deploying large number of computing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-20 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya

Modern applications span multiple clouds to reduce costs, avoid vendor lock-in, and leverage low-availability resources in another cloud. However, standard object stores operate within a single cloud, forcing users to manually manage data…

Serverless computing is a popular cloud deployment paradigm where developers implement applications as workflows of functions that invoke each other. Cloud providers automatically scale function instances on demand and forward workflow…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-09 Dmitrii Ustiugov , Shyam Jesalpura , Mert Bora Alper , Michal Baczun , Rustem Feyzkhanov , Edouard Bugnion , Boris Grot , Marios Kogias

Modern cloud orchestrators like Kubernetes provide a versatile and robust way to host applications at scale. One of their key features is autoscaling, which automatically adjusts cloud resources (compute, memory, storage) in order to adapt…

Networking and Internet Architecture · Computer Science 2021-09-08 Berta Serracanta , Jordi Paillisse , Albert Cabellos , Anna Claiborne , Alberto Rodriguez-Natal , Dave Ward , Fabio Maino

Modern organizations manage their data with a wide variety of specialized cloud database engines (e.g., Aurora, BigQuery, etc.). However, designing and managing such infrastructures is hard. Developers must consider many possible designs…

Databases · Computer Science 2024-07-31 Geoffrey X. Yu , Ziniu Wu , Ferdi Kossmann , Tianyu Li , Markos Markakis , Amadou Ngom , Samuel Madden , Tim Kraska

Advances in networks, accelerators, and cloud services encourage programmers to reconsider where to compute -- such as when fast networks make it cost-effective to compute on remote accelerators despite added latency. Workflow and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-31 J. Gregory Pauloski , Valerie Hayot-Sasson , Logan Ward , Nathaniel Hudson , Charlie Sabino , Matt Baughman , Kyle Chard , Ian Foster

We consider the problem of controlling a large fleet of drones to deliver packages simultaneously across broad urban areas. To conserve energy, drones hop between public transit vehicles (e.g., buses and trams). We design a comprehensive…

Robotics · Computer Science 2021-01-06 Shushman Choudhury , Kiril Solovey , Mykel J. Kochenderfer , Marco Pavone

We study the problem of optimizing data storage and access costs on the cloud while ensuring that the desired performance or latency is unaffected. We first propose an optimizer that optimizes the data placement tier (on the cloud) and the…

It is now cost-effective to outsource large dataset and perform query over the cloud. However, in this scenario, there exist serious security and privacy issues that sensitive information contained in the dataset can be leaked. The most…

Databases · Computer Science 2020-02-25 Weiguo Wang , Hui Li , Yanguo Peng , Sourav S Bhowmick , Peng Chen , Xiaofeng Chen , Jiangtao Cui

Modern cloud databases present scaling as a binary decision: scale-out by adding nodes or scale-up by increasing per-node resources. This one-dimensional view is limiting because database performance, cost, and coordination overhead emerge…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-05 Shahir Abdullah , Syed Rohit Zaman

Advances in space exploration have led to an explosion of tasks. Conventionally, these tasks are offloaded to ground servers for enhanced computing capability, or to adjacent low-earth-orbit satellites for reduced transmission delay.…

Signal Processing · Electrical Eng. & Systems 2022-11-17 Jiaqi Cao , Shengli Zhang , Mingzhe Wang , Qingxia Chen , Houtian Wang , Naijin Liu

Data intensive applications often involve the analysis of large datasets that require large amounts of compute and storage resources. While dedicated compute and/or storage farms offer good task/data throughput, they suffer low resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-08-27 Ioan Raicu , Yong Zhao , Ian Foster , Alex Szalay

Today's era is characterized as the "digital transformation era". Digital processes and information systems are used in every aspect of social and business activity. The use of information technology over the internet is so extensive that…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-01 Sotiris P. Gayialis , Evripidis P. Kechagias , Angeliki Deligianni , Grigorios D. Konstantakopoulos , Georgios A. Papadopoulos

Cloud mobile computing enables the offloading of computation-intensive applications from a mobile device to a cloud processor via a wireless interface. In light of the strong interplay between offloading decisions at the application layer…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-29 Shahrouz Khalili , Osvaldo Simeone

The transformation of smart mobility is unprecedented--Autonomous, shared and electric connected vehicles, along with the urgent need to meet ambitious net-zero targets by shifting to low-carbon transport modalities result in new traffic…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-07 Zeinab Nezami , Emmanouil Chaniotakis , Evangelos Pournaras

Recent SDN-based solutions give cloud providers the opportunity to extend their "as-a-service" model with the offer of complete network virtualization. They provide tenants with the freedom to specify the network topologies and addressing…

Networking and Internet Architecture · Computer Science 2016-03-11 Max Alaluna , Fernando M. V. Ramos , Nuno Neves

Recent years have seen an increasing number of cross-cloud architectures, i.e. systems that span across cloud provisioning boundaries. However, the cloud computing world still lacks any standards in terms of programming interfaces, which…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-02-09 Yehia Elkhatib

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Leszek Sliwko
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