scholarly journals Heterogeneous CCN Cache Allocation Strategy With Collaboration Support

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 13891-13903
Author(s):  
Jianhui Lv ◽  
Qing Li ◽  
Yong Jiang
Keyword(s):  
Allocation Strategy ◽  
Collaboration Support ◽  
Cache Allocation

scholarly journals Game-based cache allocation strategy for ICN slicing

2021 ◽  
Vol 336 ◽  
pp. 05030
Author(s):  
Liping Ge ◽  
Jinhe Zhou
Keyword(s):  
Equilibrium Solution ◽  
Base Station ◽  
Virtual Network ◽  
Game Model ◽  
Allocation Strategy ◽  
Newton Iterative Method ◽  
Content Acquisition ◽  
Simulation Results ◽  
Cache Allocation ◽  
Cooperative Game Model

To reduce the delay of content acquisition, this paper proposes a game-based cache allocation strategy in the Information-Centric Network (ICN) slice. The cache resource allocation of different mobile virtual network operators (MVNOs) is modeled as a non-cooperative game model. The Newton iterative method is used to solve this problem, and the cache space allocated by the base station for each MVNO is obtained. Finally, the Nash equilibrium solution is obtained. Simulation results show that the proposed algorithm can reduce the delay.

A Defense Mechanism Based on Improved Allocation Strategy of VMs Co-Resident Attack in Power Cloud Platform

2020 ◽  
Vol 13 ◽  
Author(s):  
Yuancheng Li ◽  
Pan Zhang ◽  
Daoxing Li ◽  
Jing Zeng
Keyword(s):  
Virtual Machine ◽  
Simulation Experiment ◽  
Virtual Machines ◽  
Defense Mechanism ◽  
Security Threats ◽  
Allocation Strategy ◽  
Cloud Platform ◽  
Deployment Strategy ◽  
Dbscan Algorithm ◽  
Maximum Minimum

Background: Cloud platform is widely used in electric power field. Virtual machine co-resident attack is one of the major security threats to the existing power cloud platform. Objective: This paper proposes a mechanism to defend virtual machine co-resident attack on power cloud platform. Method: Our defense mechanism uses the DBSCAN algorithm to classify and output the classification results through the random forest and uses improved virtual machine deployment strategy which combines the advantages of random round robin strategy and maximum/minimum resource strategy to deploy virtual machines. Results: we made a simulation experiment on power cloud platform of State Grid and verified the effectiveness of proposed defense deployment strategy. Conclusion: After the virtual machine deployment strategy is improved, the coverage of the virtual machine is remarkably reduced which proves that our defense mechanism achieves some effect of defending the virtual machine from virtual machine co-resident attack.

scholarly journals OPTIMAL CONTROL OF THE DECUMULATION OF A RETIREMENT PORTFOLIO WITH VARIABLE SPENDING AND DYNAMIC ASSET ALLOCATION

2021 ◽  
pp. 1-34
Author(s):  
Peter A. Forsyth ◽  
Kenneth R. Vetzal ◽  
Graham Westmacott
Keyword(s):  
Asset Allocation ◽  
Asset Returns ◽  
Retirement Savings ◽  
Allocation Strategy ◽  
Investment Portfolio ◽  
Dynamic Asset Allocation ◽  
Dynamic Strategy ◽  
Prior Literature ◽  
Weighted Combination ◽  
Over Time

Abstract We extend the Annually Recalculated Virtual Annuity (ARVA) spending rule for retirement savings decumulation (Waring and Siegel (2015) Financial Analysts Journal, 71(1), 91–107) to include a cap and a floor on withdrawals. With a minimum withdrawal constraint, the ARVA strategy runs the risk of depleting the investment portfolio. We determine the dynamic asset allocation strategy which maximizes a weighted combination of expected total withdrawals (EW) and expected shortfall (ES), defined as the average of the worst 5% of the outcomes of real terminal wealth. We compare the performance of our dynamic strategy to simpler alternatives which maintain constant asset allocation weights over time accompanied by either our same modified ARVA spending rule or withdrawals that are constant over time in real terms. Tests are carried out using both a parametric model of historical asset returns as well as bootstrap resampling of historical data. Consistent with previous literature that has used different measures of reward and risk than EW and ES, we find that allowing some variability in withdrawals leads to large improvements in efficiency. However, unlike the prior literature, we also demonstrate that further significant enhancements are possible through incorporating a dynamic asset allocation strategy rather than simply keeping asset allocation weights constant throughout retirement.

Attention Allocation to Physically Separate Task and Situation Displays in a Command and Control Setting

2020 ◽  
Vol 64 (1) ◽  
pp. 1130-1134
Author(s):  
H. Golan ◽  
A. Parush ◽  
E. Jaffe
Keyword(s):  
Decision Making ◽  
Emergency Medical Services ◽  
Situational Awareness ◽  
Command And Control ◽  
Attention Allocation ◽  
Incident Management ◽  
Allocation Strategy ◽  
Individual Task ◽  
Improved Performance ◽  
And Control

Using a simulated Emergency Medical Services (EMS) dispatch center during multi-casualty incident management, this study explored whether the presence of a separate situation display in a Command and Control (C2) setting might require attention at the expense of attending an individual task display, and how it influenced performance and situational awareness. Overall, participants always attended the task display more than the situation display. However, the situation display drew attention at the expense of attending less the task display. The presence of the situation display was related to improved performance and better situational awareness (SA), particularly in the projection level of the SA, which could account also for the better decision-making performance. Participants may have developed an attention allocation strategy to effectively utilize the information of the situation display and execute their tasks on the task display.

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