Related Experiment Video
Updated: Jan 21, 2026
10:23
Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
Published on: December 1, 2023
986
Optimal Offloading Decision Strategies and Their Influence Analysis of Mobile Edge Computing
Jiuyun Xu1, Zhuangyuan Hao2, Xiaoting Sun2
1College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China. jiuyun.xu@computer.org.
Sensors (Basel, Switzerland)
|July 26, 2019
Summary
Mobile edge computing (MEC) balances device power and time delay. The Branch-and-Bound algorithm optimizes task offloading decisions for better system performance in MEC environments.
Area of Science:
- Computer Science
- Electrical Engineering
Background:
- Mobile edge computing (MEC) is crucial for overcoming wireless device limitations like latency and storage.
- Current MEC systems face challenges in balancing device power consumption and time delay.
Purpose of the Study:
- To propose a system model and optimization strategies for task offloading decisions in MEC.
- To analyze the influence of offloading decisions on system performance in various environments.
Main Methods:
- Formulated an optimization problem considering energy consumption and time delay.
- Employed Enumerating and Branch-and-Bound algorithms to find optimal or near-optimal task offloading decisions.
- Analyzed the impact of key parameters on optimal decisions and minimum system cost.
Main Results:
- The Branch-and-Bound algorithm demonstrated superior comprehensive performance compared to the Enumerating algorithm.
- Identified key factors influencing optimal offloading decisions and minimum system cost.
Conclusions:
- The Branch-and-Bound algorithm is an effective approach for optimizing task offloading in MEC.
- Provides insights into balancing energy consumption and time delay for improved MEC system efficiency.
Related Concept Videos
01:20Decision Making
920
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
920
01:09Decision Making: P-value Method
6.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.8K
00:48Optimal Foraging
13.7K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.7K
01:22Bioavailability: Influencing Factors
351
Bioavailability refers to the extent and rate at which a drug reaches systemic circulation in its active form. Extent refers to the amount of the drug that makes it into circulation, while rate is the speed at which it enters circulation. It is influenced by several factors critical for optimizing drug formulations, dosing regimens, and therapeutic outcomes.Physicochemical properties of drugs and formulationsThe solubility, stability, and dissolution rate of a drug significantly impact its...
351
01:29The Influence of Affect on Cognition
268
Positive affect significantly influences cognitive processes, including evaluation, memory, creativity, and social judgments. Compared to negative affect, positive emotional states promote more favorable interpretations of stimuli, cognitive flexibility, and heuristic processing. These effects highlight emotions' powerful role in shaping how individuals perceive, remember, and interact with the world.Influence on Evaluation and AttributionWhen individuals experience positive affect, they are...
268
01:29The Influence of Cognition on Affect
194
Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
194