Results 41 to 50 of about 542 (178)

A Multi‐Layered Analysis of Energy Consumption in Spark

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Although energy has become a major concern in data processing systems, it is usually hard to get a deep understanding of how performance and energy consumption relate to each other when planning how to configure a computing environment to execute a specific data‐oriented workload.
Nestor D. O. Volpini, Vinícius Dias, Dorgival Guedes   +2 more
wiley   +1 more source

Permanent Anchors and Adaptive Throughput: Extending Proof‐of‐Access Consensus to Resolve the Blockchain Trilemma

IET Information Security, Volume 2026, Issue 1, 2026.
Contemporary distributed ledgers face an inherent trilemma when attempting to simultaneously optimize three critical properties: transaction throughput (measured in transactions per second [TPS]), network security, and node decentralization. Current decentralized storage platforms such as Filecoin encounter constraints in managing peak transaction ...
Saha Reno, G. M. Abdullah Al Kafi, Koushik Roy, peican zhu   +3 more
wiley   +1 more source

SHIELD-EB: Sustainable Hybrid Evolutionary-Boosting Framework for Carbon, Wastewater, and Cost-Aware Datacenter Management

IEEE Access
For over a decade, the problem of distributed cloud workload management has been studied with the goal of co-optimizing operational costs with other metrics, such as energy efficiency, using multi-objective optimization algorithms.
Sirui Qi, Hayden Moore, Dejan Milojicic, Cullen Bash, Sudeep Pasricha   +4 more
doaj   +1 more source

Kraken: Online and Elastic Resource Reservations for Cloud Datacenters [PDF]

IEEE/ACM Transactions on Networking, 2018
In cloud environments, the absence of strict network performance guarantees leads to unpredictable job execution times. To address this issue, recently, there have been several proposals on how to provide guaranteed network performance. These proposals, however, rely on computing resource reservation schedules a priori.
Carlo Fuerst, Stefan Schmid 0001, P. Lalith Suresh, Paolo Costa   +3 more
openaire   +3 more sources

An LSTM‐Based Resource Prediction Model in Google Cloud Data Center

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The increasing complexity and dynamic nature of workloads in cloud computing are characterized by various patterns with time‐dependent features. Such variations pose considerable challenges on Cloud Service Providers (CSPs) incurred by the fluctuation of resource demands along with their impact on quality of service (QoS) optimization.
Eman Alshboul, Husam Suleiman, Mohammad Alshboul, Said El Kafhali   +3 more
wiley   +1 more source

Energy-efficient data replication in cloud computing datacenters [PDF]

Cluster Computing, 2013
Cloud computing is an emerging paradigm that provides computing resources as a service over a network. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication, which brings data (e.g., databases) closer to data consumers (e.g., cloud applications), is seen as a promising ...
Dejene Boru, Dzmitry Kliazovich, Fabrizio Granelli, Pascal Bouvry, Albert Y. Zomaya   +4 more
openaire   +6 more sources

EEDCTS: An Effective End‐Device Constraints–Based Task‐Scheduling Mechanism in Cloud Computing by Deep Deterministic Policy Gradient Algorithm

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Scheduling is an important aspect in cloud computing paradigm as different heterogeneous devices will send tasks to the cloud platform. All these different devices that generate tasks are not of the same type in terms of power backup, computational capacity, link failures, etc.
Sudheer Mangalampalli, Ganesh Reddy Karri, Kaushik Mishra, Santosh Kumar Majhi, Pramita Mishra   +4 more
wiley   +1 more source

VM Consolidation Plan for Improving the Energy Efficiency of Cloud

Cybernetics and Information Technologies, 2021
Achieving energy-efficiency with minimal Service Level Agreement (SLA) violation constraint is a major challenge in cloud datacenters owing to financial and environmental concerns.
Satveer, Aswal Mahendra Singh
doaj   +1 more source

Optimizing Resource Allocation in Smart Healthcare Edge Networks Using Federated Swarm Intelligence and Artificial Neural Networks

International Journal of Distributed Sensor Networks, Volume 2026, Issue 1, 2026.
Smart healthcare edge networks should be able to serve two purposes at once: to train federated machine learning models across a range of devices without violating patient privacy and to schedule other activities with latency constraints, like real‐time patient events.
K. Praghash, Geno Peter, Christo Ananth, M. Supriya, Albert Alexander Stonier, Thomas Samraj Lawrence, Janos Botzheim   +6 more
wiley   +1 more source

Carbon‐Aware Dispatch and Resilient Scheduling of Data Centers With Spatiotemporal Load Shifting on Illustrative Renewable‐Powered Microgrids With Temporal Offset

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
This study presents a novel framework for carbon‐aware dispatch and spatiotemporal load shifting in data centers, powered by renewable energy, using illustrative microgrids with temporal offset. Each microgrid relies solely on solar and wind generation and incorporates large‐scale battery storage systems to balance supply and demand.
Reza Hemmati, Seyyed Mohammad Bornapour, Kumars Rouzbehi, Anna Troeger   +3 more
wiley   +1 more source