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culty of factorising large integers which are the product of two prime numbers. This dif culty is not uniform: some products are easier to factorise than others. For example, let p and q be the two prime numbers and suppose p 2 1 can be factorised into prime factors, of which r is the largest. Then, there is a method (Pollard s P 2 1 Method) for factorising pq, which will take around r steps. Obviously, the bigger r, the longer it will take. P is said to be strong, if r is large. It would seem therefore that strong primes are a good idea; but subsequent discussion and the development of alternative factorisation methods has cast doubt on the advantages to be gained. However, in recent years, strong primes have regained some popularity, for an interesting reason: it is speculated that unscrupulous users could deliberately use weak primes, in order to give themselves a loophole, in the form of the opportunity to repudiate a digital signature. After all, the user could claim, I did not mean to chose a weak prime; it was just my bad luck (or, really, yours, chum) that I chose one that someone else could crack and then use in my place . The point to note is the lack of a common, long-term viewpoint with regard to some issues of public key cryptography. Remember that provability is critically important to the acceptability of any security algorithm.

23 Characteristics and requirements of applications The characteristics of CO applications are quite different from traditional wireless and wired networks There are critical factors in uencing the architectural and protocol design of these applications, and these factors introduce some stringent constraints Moreover, the constraints for one CO application domain may be much different from another CO application domain For example, security requirements in health and security applications can be more critical than in a home application Therefore, the one size ts all approach does not work for cooperating objects In this section we enumerate and brie y explain the typical architectural trends that best characterize the CO applications and system requirements that in uence the protocol and algorithm design in the wide sense of the term These characteristics are used as the basis of analysis of open research issues in different application domains.

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ments in the future. The IT solution is also prepared for the fact that other parties may want to link up. In the offensive strategy, the third situation, the organization sees an opportunity for achieving a one-off competitive advantage to which the principle of now or never applies. If the organization fails to act now, then the opportunity will have gone. Again, speed is essential to get there before the competition does. The organization itself takes the initiative. This is another example of ad hoc problem-solving.

State of the art research on common characteristics are given in s 3 and 4 Also, in [32], a good categorization of the requirements and characteristics of wireless sensor networks is presented The following two properties of CO applications are general characteristics that they can have Data traf c ow: the amount of data traveling inside the network determines the traf c characteristics of an application In one application the data transferred among nodes can be limited to a few bytes for simple measurements, whereas heavy video-audio traf c can be conveyed in another application Potentially, wireless sensor network traf c does not follow any known traf c patterns It is non-stationary and highly correlated because of the event-driven characteristic of the WSN When an event is detected, there are sporadic outbursts of high traf c; otherwise, most sensor nodes will remain asleep for long durations.

def GenerateFlows( self , tag , start , end , period , duration , pay currency , pay shift method , accrual basis , observables): try: flows = ppf.core.generate flows( start=utils.to ppf date(start) , end=utils.to ppf date(end) , duration=eval("ppf.date time."+duration) , period=period , pay shift method=eval(\ "ppf.date time.shift convention."+pay shift method) , pay currency=pay currency

In previous chapters you learned about the elements of session and entity beans. You also read about EJB security and transactions and examined code that implements some enterprise beans. In this chapter, you explore the coding constructs required to create EJB clients. I begin by describing some general principles, followed by the requirements that EJB clients must follow. In addition, I describe the particulars of invoking session bean and entity bean methods.

The traf c characterization of the WSNs is very complex and dif cult All layers of the protocol stack affect the traf c pattern of the network Multipath phenomenon, human activities, background noise, node orientation, and interference from other nodes cause severe changes in the traf c pattern of a WSN The protocols running on the network layer have signi cant effects on the traf c pattern of the sensor network as well For example, the traf c characteristics change if two packets with the same destination are combined into one packet This is a kind of data aggregation Network topology: in a CO application, sensor nodes may directly communicate with an actuator, or a sensor node sends its data to the actuator through several sensors The rst case implies a single-hop topology whereas the second requires a multi-hop sensor network.

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