Using Entropy as a Parameter to Schedule Real-Time Tasks

Rincon, A C Carlos; Cheng, Albert M. K.

doi:10.1109/rtss.2015.44

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Subject to the constraints in Equations ( 13) to ( 16), we apply the information-theoretic concepts to define the following parameters [40][41][42]:…”

Section: Real-time Information Model Of Tasks For Multi-customermentioning

confidence: 99%

Real-Time Production and Logistics Self-Adaption Scheduling Based on Information Entropy Theory

Yang

Cao

et al. 2020

Sensors

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In recent years, the individualized demand of customers brings small batches and diversification of orders towards enterprises. The application of enabling technologies in the factory, such as the industrial Internet of things (IIoT) and cloud manufacturing (CMfg), enhances the ability of customer requirement automatic elicitation and the manufacturing process control. The job shop scheduling problem with a random job arrival time dramatically increases the difficulty in process management. Thus, how to collaboratively schedule the production and logistics resources in the shop floor is very challenging, and it has a fundamental and practical significance of achieving the competitiveness for an enterprise. To address this issue, the real-time model of production and logistics resources is built firstly. Then, the task entropy model is built based on the task information. Finally, the real-time self-adaption collaboration of production and logistics resources is realized. The proposed algorithm is carried out based on a practical case to evaluate its effectiveness. Experimental results show that our proposed algorithm outperforms three existing algorithms.

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“…Subject to the constraints in Equations ( 13) to ( 16), we apply the information-theoretic concepts to define the following parameters [40][41][42]:…”

Section: Real-time Information Model Of Tasks For Multi-customermentioning

confidence: 99%

Real-Time Production and Logistics Self-Adaption Scheduling Based on Information Entropy Theory

Yang

Cao

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…[3] .SMS sender can skip the captcha check ,it will likely be identified that SMS is legitimate text to speech method, MMS .Here drawbacks is run on a normal _________________________________________________ mobile phone due to loss of any complex method. In this paper [4] the highest entropy first with out lacking any real time scheduling to use entropy in actual-time scheduling, the set of rules' s goal is to reduce the uncertainty of the system by scheduling the venture with the best entropy first.In this paper [5] time cloud sources are underutilized due to negative scheduling of assignment (or utility) in datacenter.vm drawbacks QOS reduce the value with out violating the SLA (service level agreement) for an software in cloud SAAS environment.…”

Section: Literature Surveymentioning

confidence: 99%

Bulk SMS Communication Portal

Nishanthi¹,

Vimala²

2020

Intelligent Systems and Computer Technology

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Sending SMS to large amount of people in an organization is a tedious process and it requires more human effort tocomplete the task. The best solution in this aspect could be developing a portal which facilitate sending bulk SMS to multiple users. But the problem here is the portal should be more user-friendly. Otherwise, the portal also requires more human effort in entering data like mobile number for large amount of people. This project provide a solution for organization to send bulk SMS and with various features like log generation, notification of failure ofSMS and/or delivery, scheduling of SMS,alert/notification system,read and unread status, provision of importing contact details from excel worksheets, customizing with name of the receiver and so on. The application can be easily used and maintained by an administrator in the organization in a more effective manner.

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