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cannot only provide near uniform chemical composition but also energy content. A comparison of heating values of municipal waste with various other waste fuels and biomass is given in Table 15.2. The data shows that the energy content in the MSW is comparable with some wood material and wastes. The energy associated with plastics is very high as compared to nonplastic wastes. The composition of the solid waste has been changing over the past two decades. This is because of the changing needs of the society as well as some of the process and manufacturing needs and re nements. Table 15.3 shows the immediate past, present, and near-term projected refuse composition. Irrespective of the type and amount of waste, the amount of wastes generated has been growing. From the energy availability there are signi cant opportunities.

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Figure 3-22 shows the certification path. This certificate is directly signed by the trusted root CA at VeriSign, and it s okay. Because this was a perfectly good certificate that was signed by a trusted authority, is currently valid, and matched the name of the site that served it, the SSL session was validated. https appears in the address bar and a padlock appears in the status bar. Clicking the padlock brings up the certificate. Figure 3-23 shows the full site.

<xsql:query rowset-elements= CATEGORY_ROWSET row-element= CATEGORY_ROW category_id= 0 bind-params= category_id > SELECT id AS category_id, name AS category_name FROM product_category WHERE id= </xsql:query>

49 WEIGHTED FAIR QUEUING Although the GPS service principle is perfectly fair, the idealized fluid-flow model is not practical to implement However, we can simulate the GPS server and then schedule the backlogged packets in accordance with the packet behavior of the simulated GPS server A WFQ also called packetized GPS system is defined with respect to its corresponding GPS system Let d GPS be the time at which packet p will depart finish service under GPS p A good approximation of GPS would be a scheme that serves packets in increasing order of d GPS However, this is not always possible without causing p the discipline to be non-work-conserving This is because when the packet system is ready to choose the next packet to transmit, the next packet to depart under GPS may not have arrived at the packet system yet.

>>> import cPickle,pickle >>> s = cPickle.dumps({ one :1, two :2}) >>> pickle.loads(s) { one : 1, two : 2}

Unfortunately, the name of the program has been cut off. No worries, the locate command can tell you what the full name is likely to be:

Waiting for it requires knowledge of the future and also causes the system to be non-work-conserving In WFQ, the ser er simply assigns the departure time of a packet in the simulated GPS ser er as the timestamp of that packet, and then the ser er transmits packets in increasing order of these timestamps When the server is ready to transmit the next packet at time , it picks the first packet that would complete service in the corresponding GPS system if no additional packets were to arrive after time WFQ w15x uses the concept of irtual timeto track the progress of GPS that will lead to a practical implementation of packet-by-packet GPS Define an e ent as any arrival or departure of a session from the GPS server, and let t j be the time at which the jth event occurs simultaneous events are ordered arbitrarily ..

Let the time of the first arrival of a busy period be denoted as t 1 s 0 Now observe that, for each j s 2, 3, , the set of sessions that are busy in the interval t jy1 , t j is fixed We denote this set as Bj The virtual time V t is defined to be zero for all times when the server is idle Consider any busy period, and let the time that it begins be time zero Then, V t evolves as follows: V 0 s 0, V t jy1 q.