假设某计算机系统中只有一个CPU、一台输入设备和一台输出设备，若系统中有四个作业T1.T2.T3和T4，系统采用优先级调度，且T1的优先级>T2的优先级>T3的优先级>T4的优先级。每个作业Ti具有三个程序段：输入Ii、计算Ci和输出Pi(i=1，2，3，4)，其执行顺序为Ii--Ci-+Pi.这四个作业各程序段并发执行的前驱图如下所示。图中①、②分别为( 24 )，③、④、⑤分别为( 25 )。

Software entities are more complex for their size than perhaps any other humanconstruct, because no two parts are alike (at least above the statement level). If they are, wemake the two similar parts into one, a( 71 ), open or closeD. In this respect software systemsdiffer profoundly from computers, buildings, or automobiles, where repeated elements abounD.

Digital computers . are themselves more complex than most things people build; they have very large numbers of states This makes conceiving, describing, and testing them harD. Software systems have orders of magnitude more( 72 )Likewise, a scaling-up of a software entity is not m erely a repetition of the same elementsm larger size; it is necessarily an mcrease in the number of different elements. In most cases, the elements interact with each other in some( 73 )fashion: and the complexity of the wholencreases much more than linearly.

The complexity of software is a(an)( 74 )property, not an accidental one Hencedescriptions of a software entity that abstract away its complexity often abstract away its essence.Mathematics and the physical sciences made great strides for three centuries by constructingsimplified models of complex phenomena, deriving properties fiom the models, and verifyingthose properties experimentally. This worked because the complexities( 75 )in the modelswere not the .essential properties of the phenomena: It does not work when the complexities are the essence.

Many of the classical problems of developing software products derive from this essential complexi and its nonlinear uicreases with size. Not only .technical problems but management problems as well come from the coin plexity.

Software entities are more complex for their size than perhaps any other humanconstruct, because no two parts are alike (at least above the statement level). If they are, wemake the two similar parts into one, a( 71 ), open or closeD. In this respect software systemsdiffer profoundly from computers, buildings, or automobiles, where repeated elements abounD.

Digital computers . are themselves more complex than most things people build; they have very large numbers of states This makes conceiving, describing, and testing them harD. Software systems have orders of magnitude more( 72 )Likewise, a scaling-up of a software entity is not m erely a repetition of the same elementsm larger size; it is necessarily an mcrease in the number of different elements. In most cases, the elements interact with each other in some( 73 )fashion: and the complexity of the wholencreases much more than linearly.

The complexity of software is a(an)( 74 )property, not an accidental one Hencedescriptions of a software entity that abstract away its complexity often abstract away its essence.Mathematics and the physical sciences made great strides for three centuries by constructingsimplified models of complex phenomena, deriving properties fiom the models, and verifyingthose properties experimentally. This worked because the complexities( 75 )in the modelswere not the .essential properties of the phenomena: It does not work when the complexities are the essence.

Many of the classical problems of developing software products derive from this essential complexi and its nonlinear uicreases with size. Not only .technical problems but management problems as well come from the coin plexity.

Software entities are more complex for their size than perhaps any other humanconstruct, because no two parts are alike (at least above the statement level). If they are, wemake the two similar parts into one, a( 71 ), open or closeD. In this respect software systemsdiffer profoundly from computers, buildings, or automobiles, where repeated elements abounD.

Digital computers . are themselves more complex than most things people build; they have very large numbers of states This makes conceiving, describing, and testing them harD. Software systems have orders of magnitude more( 72 )Likewise, a scaling-up of a software entity is not m erely a repetition of the same elementsm larger size; it is necessarily an mcrease in the number of different elements. In most cases, the elements interact with each other in some( 73 )fashion: and the complexity of the wholencreases much more than linearly.

The complexity of software is a(an)( 74 )property, not an accidental one Hencedescriptions of a software entity that abstract away its complexity often abstract away its essence.Mathematics and the physical sciences made great strides for three centuries by constructingsimplified models of complex phenomena, deriving properties fiom the models, and verifyingthose properties experimentally. This worked because the complexities( 75 )in the modelswere not the .essential properties of the phenomena: It does not work when the complexities are the essence.

Many of the classical problems of developing software products derive from this essential complexi and its nonlinear uicreases with size. Not only .technical problems but management problems as well come from the coin plexity.

Software entities are more complex for their size than perhaps any other humanconstruct, because no two parts are alike (at least above the statement level). If they are, wemake the two similar parts into one, a( 71 ), open or closeD. In this respect software systemsdiffer profoundly from computers, buildings, or automobiles, where repeated elements abounD.

Digital computers . are themselves more complex than most things people build; they have very large numbers of states This makes conceiving, describing, and testing them harD. Software systems have orders of magnitude more( 72 )Likewise, a scaling-up of a software entity is not m erely a repetition of the same elementsm larger size; it is necessarily an mcrease in the number of different elements. In most cases, the elements interact with each other in some( 73 )fashion: and the complexity of the wholencreases much more than linearly.

The complexity of software is a(an)( 74 )property, not an accidental one Hencedescriptions of a software entity that abstract away its complexity often abstract away its essence.Mathematics and the physical sciences made great strides for three centuries by constructingsimplified models of complex phenomena, deriving properties fiom the models, and verifyingthose properties experimentally. This worked because the complexities( 75 )in the modelswere not the .essential properties of the phenomena: It does not work when the complexities are the essence.

Many of the classical problems of developing software products derive from this essential complexi and its nonlinear uicreases with size. Not only .technical problems but management problems as well come from the coin plexity.

与地址220.112.179.92匹配的路由表的表项是( )。

Software entities are more complex for their size than perhaps any other humanconstruct, because no two parts are alike (at least above the statement level). If they are, wemake the two similar parts into one, a( 71 ), open or closeD. In this respect software systemsdiffer profoundly from computers, buildings, or automobiles, where repeated elements abounD.

Digital computers . are themselves more complex than most things people build; they have very large numbers of states This makes conceiving, describing, and testing them harD. Software systems have orders of magnitude more( 72 )Likewise, a scaling-up of a software entity is not m erely a repetition of the same elementsm larger size; it is necessarily an mcrease in the number of different elements. In most cases, the elements interact with each other in some( 73 )fashion: and the complexity of the wholencreases much more than linearly.

The complexity of software is a(an)( 74 )property, not an accidental one Hencedescriptions of a software entity that abstract away its complexity often abstract away its essence.Mathematics and the physical sciences made great strides for three centuries by constructingsimplified models of complex phenomena, deriving properties fiom the models, and verifyingthose properties experimentally. This worked because the complexities( 75 )in the modelswere not the .essential properties of the phenomena: It does not work when the complexities are the essence.

Many of the classical problems of developing software products derive from this essential complexi and its nonlinear uicreases with size. Not only .technical problems but management problems as well come from the coin plexity.

如果路由器收到了多个路由协议转发的关于某个目标的多条路由，那么决定采用哪条路由的策略是( )。

某公司内部使用wB.xyz.com.cn作为访问某服务器的地址，其中WB是( )。

以下协议中属于应用层协议的是(66 )，该协议的报文封装在( 67 )。

以下协议中属于应用层协议的是(66 )，该协议的报文封装在( 67 )。