This article briefly presented the design and software architecture of an IP/ATM multiple sub network router. It established the queue model of IP process module and proposed a traffic based scheduling mechanism (AICS...This article briefly presented the design and software architecture of an IP/ATM multiple sub network router. It established the queue model of IP process module and proposed a traffic based scheduling mechanism (AICS: Adaptive Incomplete Cyclic Service). It also provided a simulation study on the system throughput and packet delay jitter performance for both AICS mechanism and IICS mechanism proposed in the prior work. The simulation results show that, comparing with IICS, AICS can provide much better packet delay jitter performance when high speed sub networks exist bursty traffic and give better fairness.展开更多
The outputs or products of an economy can be divided into services products ana gooas products （due to manufacturing, construction, agriculture and mining）. To date, the services and goods products have, for the mos...The outputs or products of an economy can be divided into services products ana gooas products （due to manufacturing, construction, agriculture and mining）. To date, the services and goods products have, for the most part, been separately mass produced. However, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next - or third - industrial revolution is focused on the integration of services and/or goods; it is beginning in this second decade of the 21st Century. The Third Industrial Revolution （TIR） is based on the confluence of three major technological enablers （i.e., big data analytics, adaptive services and digital manufacturing）; they underpin the integration or mass customization of services and/or goods. As detailed in an earlier paper, we regard mass customization as the simultaneous and real-time management of supply and demand chains, based on a taxonomy that can be defined in terms of its underpinning component and management foci. The benefits of real-time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced - as ＂servgoods＂ - in real-time, resulting in an overwhelming economic advantage to the industrialized countries where the consuming customers are at the same time the co-producing producers.展开更多
At present, it is projected that about 4 zettabytes （or 10^＊＊21 bytes） of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to ...At present, it is projected that about 4 zettabytes （or 10^＊＊21 bytes） of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to global positioning systems. In the U. S., major research programs are being funded to deal with big data in all five sectors （i.e., services, manufacturing, construction, agriculture and mining） of the economy. Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition, access, analytics and/or application in a reasonable amount of time. Whereas Tien （2003） forewarned about the data rich, information poor （DRIP） problems that have been pervasive since the advent of large-scale data collections or warehouses, the DRIP conundrum has been somewhat mitigated by the Big Data approach which has unleashed information in a manner that can support informed - yet, not necessarily defensible or valid - decisions or choices. Thus, by somewhat overcoming data quality issues with data quantity, data access restrictions with on-demand cloud computing, causative analysis with correlative data analytics, and model-driven with evidence-driven applications, appropriate actions can be undertaken with the obtained information. New acquisition, access, analytics and application technologies are being developed to further Big Data as it is being employed to help resolve the 14 grand challenges （identified by the National Academy of Engineering in 2008）, underpin the 10 breakthrough technologies （compiled by the Massachusetts Institute of Technology in 2013） and support the Third Industrial Revolution of mass customization.展开更多
In an earlier paper （Tien 2012）, the author augurs that, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next - or third...In an earlier paper （Tien 2012）, the author augurs that, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next - or third - industrial revolution is focused on the integration of services and/or goods; it began in this second decade of the 21st Century. The Third Industrial Revolution （TIR） is underpinned by the integration or mass customization of services and/or goods. The benefits of real-time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced as ＂ServGoods＂, resulting in an overwhelming economic advantage to the industrialized countries where the consuming customers are at the same time the co-producing producers. Adding sensors to these ServGoods and letting them connect or communicate among themselves or with other ServGoods can result in an Intemet of Things （i.e., connected ServGoods）. A number of considerations, consequences and concerns relating to such an Intemet of Connected ServGoods are discussed herein.展开更多
文摘This article briefly presented the design and software architecture of an IP/ATM multiple sub network router. It established the queue model of IP process module and proposed a traffic based scheduling mechanism (AICS: Adaptive Incomplete Cyclic Service). It also provided a simulation study on the system throughput and packet delay jitter performance for both AICS mechanism and IICS mechanism proposed in the prior work. The simulation results show that, comparing with IICS, AICS can provide much better packet delay jitter performance when high speed sub networks exist bursty traffic and give better fairness.
文摘The outputs or products of an economy can be divided into services products ana gooas products （due to manufacturing, construction, agriculture and mining）. To date, the services and goods products have, for the most part, been separately mass produced. However, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next - or third - industrial revolution is focused on the integration of services and/or goods; it is beginning in this second decade of the 21st Century. The Third Industrial Revolution （TIR） is based on the confluence of three major technological enablers （i.e., big data analytics, adaptive services and digital manufacturing）; they underpin the integration or mass customization of services and/or goods. As detailed in an earlier paper, we regard mass customization as the simultaneous and real-time management of supply and demand chains, based on a taxonomy that can be defined in terms of its underpinning component and management foci. The benefits of real-time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced - as ＂servgoods＂ - in real-time, resulting in an overwhelming economic advantage to the industrialized countries where the consuming customers are at the same time the co-producing producers.
文摘At present, it is projected that about 4 zettabytes （or 10^＊＊21 bytes） of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to global positioning systems. In the U. S., major research programs are being funded to deal with big data in all five sectors （i.e., services, manufacturing, construction, agriculture and mining） of the economy. Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition, access, analytics and/or application in a reasonable amount of time. Whereas Tien （2003） forewarned about the data rich, information poor （DRIP） problems that have been pervasive since the advent of large-scale data collections or warehouses, the DRIP conundrum has been somewhat mitigated by the Big Data approach which has unleashed information in a manner that can support informed - yet, not necessarily defensible or valid - decisions or choices. Thus, by somewhat overcoming data quality issues with data quantity, data access restrictions with on-demand cloud computing, causative analysis with correlative data analytics, and model-driven with evidence-driven applications, appropriate actions can be undertaken with the obtained information. New acquisition, access, analytics and application technologies are being developed to further Big Data as it is being employed to help resolve the 14 grand challenges （identified by the National Academy of Engineering in 2008）, underpin the 10 breakthrough technologies （compiled by the Massachusetts Institute of Technology in 2013） and support the Third Industrial Revolution of mass customization.
文摘In an earlier paper （Tien 2012）, the author augurs that, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next - or third - industrial revolution is focused on the integration of services and/or goods; it began in this second decade of the 21st Century. The Third Industrial Revolution （TIR） is underpinned by the integration or mass customization of services and/or goods. The benefits of real-time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced as ＂ServGoods＂, resulting in an overwhelming economic advantage to the industrialized countries where the consuming customers are at the same time the co-producing producers. Adding sensors to these ServGoods and letting them connect or communicate among themselves or with other ServGoods can result in an Intemet of Things （i.e., connected ServGoods）. A number of considerations, consequences and concerns relating to such an Intemet of Connected ServGoods are discussed herein.
