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Deep learning with microfluidics for on-chip droplet generation, control, and analysis
H Sun, W **e, J Mo, Y Huang, H Dong - Frontiers in Bioengineering …, 2023 - frontiersin.org
Droplet microfluidics has gained widespread attention in recent years due to its advantages
of high throughput, high integration, high sensitivity and low power consumption in droplet …
of high throughput, high integration, high sensitivity and low power consumption in droplet …
A hybrid model for load balancing in cloud using file type formatting
Maintaining accuracy in load balancing using metaheuristics is a difficult task even with the
help of recent hybrid approaches. In the existing literature, various optimized metaheuristic …
help of recent hybrid approaches. In the existing literature, various optimized metaheuristic …
[HTML][HTML] LBCC-Hung: A load balancing protocol for cloud computing based on Hungarian method
IA Saroit, D Tarek - Egyptian Informatics Journal, 2023 - Elsevier
Cloud Computing can be defined as enabling computing resources to whoever want
remotely upon demand. This necessarily requires using virtualization. A virtual machine …
remotely upon demand. This necessarily requires using virtualization. A virtual machine …
Task scheduling in cloud using aco
Background: Cloud computing is a multi-tenant model for computation that offers various
features for computing and storage based on user demand. With increasing cloud users, the …
features for computing and storage based on user demand. With increasing cloud users, the …
[PDF][PDF] An Energy-Aware QoS Load Balance Scheduling Using Hybrid GAACO Algorithm for Cloud
A Ilankumaran, SJ Narayanan - Cybernetics and Information …, 2023 - sciendo.com
In recent days, resource allocation is considered to be a complex task in cloud systems. The
heuristics models will allocate the resources efficiently in different machines. Then, the …
heuristics models will allocate the resources efficiently in different machines. Then, the …
Memoization based priority-aware task management for QoS provisioning in IoT gateways
Fog computing is a paradigm that works in tandem with cloud computing. The emergence of
fog computing has boosted cloud-based computation, especially in the case of delay …
fog computing has boosted cloud-based computation, especially in the case of delay …
[PDF][PDF] A proposed load balancing algorithm over cloud computing (balanced throttled)
Cloud computing refers to the services and applications that are accessible throughout the
world from data centers. All services and applications are available online. Virtual machine …
world from data centers. All services and applications are available online. Virtual machine …
[HTML][HTML] An energy efficient fault tolerance technique based on load balancing algorithm for high-performance computing in cloud computing
Background and Objectives: Cloud Computing has brought a new dimension to the IT world.
The technology of cloud computing allows employing a large number of Virtual Machines to …
The technology of cloud computing allows employing a large number of Virtual Machines to …
Design and implementation of MQTT load test system
IH Jung, JM Lee, K Hwang - Turkish Journal of Computer and …, 2021 - search.proquest.com
In this paper, we design and implement an MQTT load test tools for evaluating the
performance of an MQTT appliance system which is capable of handling large amounts of …
performance of an MQTT appliance system which is capable of handling large amounts of …
Assessment of Load Balancing Techniques in Cloud Computing
A Jangra, H Dubran - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
In today's environment cloud computing is widely useful for end users to store and access
large amount of data. CC has been seen as unrelated to technology that creates the next …
large amount of data. CC has been seen as unrelated to technology that creates the next …