Optimizing Energy Consumption of Cloud Computing IaaS by Mohamed, Huda Ibrahim

Subjects: “…Cloud computing…”
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On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

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Scheduling IoT Requests to Minimize Latency in Fog Computing by Alikarar, Mazin Abdelbadea Nasralla

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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou (1887307)

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GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing by Abualigah, Laith

“…Task scheduling optimization plays a pivotal role in enhancing the efficiency and performance of cloud computing systems. In this article, we introduce GIJA (Geyser‐inspired Jaya Algorithm), a novel optimization approach tailored for task scheduling in cloud computing environments. …”
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Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment by Omer, Dalia Fatahelrahman

Subjects: “…Fog-cloud computing…”
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Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing by Abualigah, Laith

Subjects: “…Cloud Computing…”
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Iterative Algorithms for Virtual Machine Placement in Cloud Environments by unknown

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Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)

“…In this article, we study an adaptive wireless resource allocation strategy of computation offloading service under a three-layered vehicular edge cloud computing framework. …”

MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments by Hend Gedawy (23275984)

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Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters by Farhan, Abid

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Optimizing Energy Consumption In Cloud Datacenters by Khan, Mueez Ahmad

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Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment by Sachi Gupta (19560268)

“…<p dir="ltr">Cloud computing is one of the most commonly used infrastructures for carrying out activities using virtual machines known as processing units. …”

Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center by Kandil, Ayman

Subjects: “…Cloud Computing…”
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Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

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Cooperative Caching Policy in Fog Computing for Connected Vehicles by Ghazleh, Ali

“…This paved the road for the integration of Fog Computing, which is an extension of the Cloud. Fog Computing’s main advantage is the increased quantity in which it can be deployed while in close vicinity of the end-users, thus enhancing their Quality of Experience (QoE). …”
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A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates by Andrianarison, O.

“…The whole piezoelectric multilayered plate’s dynamic stiffness is then built, from which its circular frequencies are computed with the help of the Wittrick-Williams algorithm. A detailed discussion is provided on the implementation aspects, followed by some numerical examples to assess the robustness, accuracy and effectiveness of the proposed method. …”
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Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment by Surjeet Dalal (4906894)

“…</p><p dir="ltr">Correction: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment: <a href="https://dx.doi.org/10.1186/s13677-023-00551-2" target="_blank">https://dx.doi.org/10.1186/s13677-023-00551-2</a>, published online 28 November 2023.…”

Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements by Stefano Nardean (14151900)

“…This preconditioner, denoted as Block CPR (BCPR), is specifically designed for Lagrange multipliers-based flow models, such as those generated by Mixed Hybrid Finite Element (MHFE) approximations. An original MHFE-based formulation of the two-phase flow model is taken as a reference for the development of the BCPR preconditioner, in which the set of system unknowns comprises both element and face pressures, in addition to the cell saturations, resulting in a $$3\times 3$$ 3 × 3 block-structured Jacobian matrix with a $$2\times 2$$ 2 × 2 inner pressure problem. …”

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

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