Results 141 to 150 of about 1,875 (163)

An intelligent job scheduling and real-time resource optimization for edge-cloud continuum in next generation networks. [PDF]

Sci Rep
Naeem AB, Senapati B, Rasheed J, Baili J, Osman O.   +4 more
europepmc   +1 more source

Efficient deep reinforcement learning based task scheduler in multi cloud environment. [PDF]

Sci Rep
Mangalampalli S, Karri GR, Ratnamani MV, Mohanty SN, Jabr BA, Ali YA, Ali S, Abdullaeva BS.   +7 more
europepmc   +1 more source

Emerging Trends and Challenges of IoT in Smart Healthcare Systems, Smart Cities and Education. [PDF]

Sensors (Basel)
Khan F.
europepmc   +1 more source

Energy efficient virtual machines placement in cloud datacenters using genetic algorithm and adaptive thresholds. [PDF]

PLoS One
Alourani A, Khalid A, Tahir M, Sardaraz M.   +3 more
europepmc   +1 more source

CloudSim 7G: An Integrated Toolkit for Modeling and Simulation of Future Generation Cloud Computing Environments [PDF]

Software - Practice and Experience
ABSTRACT Background Cloud Computing has established itself as an efficient and cost‐effective paradigm for the execution of web‐based applications, and scientific workloads, that need elasticity and on‐demand scalability capabilities. However, the evaluation of novel resource provisioning and management techniques is a major challenge due to the ...
Rajkumar Buyya, Tommaso Cucinotta, Remo Andreoli   +2 more
exaly   +6 more sources

Considering I/O Processing in CloudSim for Performance and Energy Evaluation

Lecture Notes in Computer Science, 2016
International audienceThis article presents an extension of the IaaS Cloud simulator CloudSim. Our CloudSim extension takes into account the processing of i/o workload generated by virtual machines within a Data Center and evaluates the overall ...
Jalil Boukhobza, Hamza Ouarnoughi, Frank Singhoff   +2 more
exaly   +2 more sources

Does CloudSim Accurately Model Micro Datacenters? [PDF]

, 2017
Novel cloud computing algorithms and techniques are initially evaluated via testbeds, simulators and mathematical models of datacenter infrastructure. However, it can be difficult to perform cross validation of these platforms against realistic scale
Jeremy Singer
exaly   +2 more sources

CloudSim Plus: A Cloud Computing Simulation Framework Pursuing Software Engineering Principles for Improved Modularity, Extensibility and Correctness

, 2017
Cloud computing is an established technology to provide computing resources on demand that currently faces several challenges. Main challenges include management of shared resources, energy consumption, load balancing, resource provisioning and ...
Pedro Inacio, Mário M Freire
exaly   +1 more source

Performance Evaluation of Scheduling Algorithms Using CloudSim [PDF]

Lecture Notes in Networks and Systems
Cloud computing is a growing method for using online resources, with varying traffic levels. Scheduling algorithms are crucial due to factors like execution time and latency.
Shanshan Tu
exaly   +2 more sources

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Scheduling Cloudlets to Improve Response Time Using CloudSim Simulator

Lecture Notes in Networks and Systems, 2021
Bunil Kumar Balabantaray
exaly