Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Short-distance Transport of Resources

Short-distance Transport of Resources

Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.

Distributed Loads

Distributed Loads

Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

Reducing Line Loss

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...

Maxwell-Boltzmann Distribution: Problem Solving

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by

Production Efficiency

Production Efficiency

Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

SimTune: bridging the simulator reality gap for resource management in edge-cloud computing.

Scientific reports·2022

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 29, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

OptiSpot: minimizing application deployment cost using spot cloud resources.

Daniel J Dubois¹, Giuliano Casale¹

¹Department of Computing, Imperial College London, London, UK.

Cluster Computing

|February 4, 2020

Summary

This summary is machine-generated.

OptiSpot automates cloud application deployment on spot instances, optimizing resource selection and pricing bids. This heuristic minimizes costs while ensuring performance, outperforming traditional methods.

Keywords:

Application deployment Bidding strategy Cloud provisioning Fluid-approximated queueing networks Random environment Spot cloud

More Related Videos

Reproducible Manufacturing of SPOT as a High-throughput Scaffold-based Culture Platform

Reproducible Manufacturing of SPOT as a High-throughput Scaffold-based Culture Platform

Published on: July 29, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Related Experiment Videos

Last Updated: Dec 29, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Reproducible Manufacturing of SPOT as a High-throughput Scaffold-based Culture Platform

Reproducible Manufacturing of SPOT as a High-throughput Scaffold-based Culture Platform

Published on: July 29, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Area of Science:

Computer Science
Cloud Computing
Operations Research

Background:

Cloud providers offer virtual machines via a spot instance model, where resources are sold to the highest bidder.
Fluctuating spot prices can lead to customers losing rented virtual machines due to overbidding.

Purpose of the Study:

To propose OptiSpot, a heuristic algorithm for automating application deployment decisions in cloud environments utilizing the spot pricing model.
To determine optimal resource allocation, component mapping, and spot price bidding strategies for cost minimization and performance assurance.

Main Methods:

Combines a multi-class queueing network model of the application with a Markov model of spot price dynamics and virtual machine reliability.
Evaluates the heuristic using a model of a real enterprise application and historical Amazon EC2 spot instance pricing data.

Main Results:

OptiSpot successfully identifies low-cost deployment solutions that maintain acceptable application performance levels.
The heuristic method demonstrates significantly faster convergence to low-cost optimal solutions compared to nonlinear programming techniques.

Conclusions:

OptiSpot provides an effective automated approach for managing cloud application deployments on spot instances.
The proposed heuristic offers a practical and efficient solution for optimizing cloud resource utilization and reducing costs.