Abstract: A cloud data center tenant-level outbound rate limiting method includes: starting a timer, receiving and generating statistics of outbound packets of tenants in a current period, obtaining local traffic rate information of the tenants based on all the outbound packets of the tenants in the current period, and generating local bandwidth demand frames of the tenants based on the local traffic rate information of the tenants; when a timing of the timer reaches the end of the current period, sending the local bandwidth demand frames of the tenants to a switch; receiving a global bandwidth demand frame sent by the switch, and computing bandwidth budgets of the tenants based on the local traffic rate information of the tenants and the global bandwidth demand frames of the tenants; modifying rate limiting parameters, and limiting the rate of the outbound packets of the tenants in a next period.

Abstract: A cloud data center tenant-level outbound rate limiting method includes: starting a timer, receiving and generating statistics of outbound packets of tenants in a current period, obtaining local traffic rate information of the tenants based on all the outbound packets of the tenants in the current period, and generating local bandwidth demand frames of the tenants based on the local traffic rate information of the tenants; when a timing of the timer reaches the end of the current period, sending the local bandwidth demand frames of the tenants to a switch; receiving a global bandwidth demand frame sent by the switch, and computing bandwidth budgets of the tenants based on the local traffic rate information of the tenants and the global bandwidth demand frames of the tenants; modifying rate limiting parameters, and limiting the rate of the outbound packets of the tenants in a next period.

Abstract: A cloud platform comprises a receiving unit and a processing unit. The receiving unit is configured to receive at least one user respiration data set sent by at least one respirator device in at least one uploading cycle. The processing unit is configured to acquire a first user respiration data set sent by a user of one respirator device among at least one respirator device in one uploading cycle, statistically analyze the first user respiration data set on the basis of a stable state value set of the user, and send an alarm signal when the statistical analysis result is determined to be that the first user respiration data set meets a data exception standard. The disclosure provides an on-line user respiration data analysis solution in combination with disease diagnosis of an off-line respiration system, so that the worsening of a patient's conditions can be possibly found in time.

Abstract: A method of manufacturing an injection molded part includes formulating recycled polyamide material from a waste polyamide powder with at least one crystallization agent and at least one lubricant agent, forming recycled polyamide pellets from the recycled polyamide material, and injection molding a part from the recycled polyamide pellets. The crystallization agent is a metal salt of an organic acid with a content in the recycled polyamide material, in weight percent, between 0.1% and 1.0%, and the lubricant agent is a metal stearate with a content between 100 ppm to 5000 ppm. The waste polyamide powder is waste polyamide powder from a selective laser sintering process, for example waste polyamide 12 powder. Also, the waste polyamide 12 powder is not graded before forming the recycled polyamide material.

Abstract: The present relates to a process for incorporating of wet natural fiber and starch into thermoplastics and the composite produced. The process for producing the composite comprises steps of: providing a wet natural fiber; providing a starch; providing a plasticizer; providing a thermoplastic; mixing the wet natural fiber, the starch and the plasticizer with water to produce a paste, and compounding the paste with the thermoplastic to produce the composite. The composite in a preferred embodiment comprises 50 weight % natural fiber/starch and a plasticizer; 50 weight % thermoplastic; a tensile modulus greater than 1450 MPa and a tensile strength greater than 41 MPa.

Abstract: A cloud platform comprises a receiving unit and a processing unit. The receiving unit is configured to receive at least one user respiration data set sent by at least one respirator device in at least one uploading cycle. The processing unit is configured to acquire a first user respiration data set sent by a user of one respirator device among at least one respirator device in one uploading cycle, statistically analyze the first user respiration data set on the basis of a stable state value set of the user, and send an alarm signal when the statistical analysis result is determined to be that the first user respiration data set meets a data exception standard. The disclosure provides an on-line user respiration data analysis solution in combination with disease diagnosis of an off-line respiration system, so that the worsening of a patient's conditions can be possibly found in time.

Abstract: The present relates to a process for incorporating of wet natural fiber and starch into thermoplastics and the composite produced. The process for producing the composite comprises steps of: providing a wet natural fiber; providing a starch; providing a plasticizer; providing a thermoplastic; mixing the wet natural fiber, the starch and the plasticizer with water to produce a paste, and compounding the paste with the thermoplastic to produce the composite. The composite in a preferred embodiment comprises 50 weight % natural fiber/starch and a plasticizer; 50 weight % thermoplastic; a tensile modulus greater than 1450 MPa and a tensile strength greater than 41 MPa.