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different types of network computing devices attached. The suite of protocols that encompass TCP/IP were originally designed to allow different types of computer systems to communicate as if they were the same system. It was developed by a project underwritten by an agency of the Department of Defense known as the Advanced Research Projects Agency (DARPA). There are many reasons why the early TCP/IP became popular, three of which are paramount. First, DARPA provided a grant to allow the protocol suite to become part of Berkeley s Unix system. When TCP/IP was introduced to the commercial marketplace, Unix was always mentioned in every story about it. Berkeley Unix and TCP/IP became the standard operating system and protocol of choice for many major universities, where it was used with workstations in engineering and research environments. Second, in 1983, all U.S. government proposals that included networks mandated the TCP/IP protocol. (This was also the year that the ARPAnet was converted to the TCP/IP protocol. Conversions in those days happened within days. That was when the Internet

computing applications show many important differences from those considered in the context of COs and sensor networks: COs are in fact closely related to real-life objects and/or to the physical space, of which neither are considered in traditional distributed computing This close integration with the real world raises several issues for the design of feasible architectures and programming abstractions for COs Since real-life objects/entities may be mobile, resource availability and context of operation often change The system must be able to accommodate dynamic (re-)con guration, as well as being able to expose context changes to the programmer The latter point is an aspect which differentiates COs from mobile computing: mobile computing approaches often try to provide the impression of a standard (static) computing environment in order to shield the programmer from mobility constraints.

(10.122)

The Alarm function accepts two arguments: a cell reference and a condition (expressed as a string). The following formula, for example, uses the Alarm function to play a WAV file when the value in cell B13 is greater than or equal to 1000.

Summary

In addition, typical application domains of COs are different from those of distributed and mobile computing: in ubiquitous and pervasive computing, applications often have to deal with the notion of context, which is directly related to data about the physical environment and does not appear as an issue in distributed computing Another aspect that differentiates COs and, in particular, sensor networks from traditional distributed systems is that a service or function may often be provided anonymously by one (or several) sensor(s): the identity of the device providing the function is thus often unimportant Because of these differences, the design and development of dedicated system architectures and programming models appears as a key issue to enable the success of COs as a mainstream technology In the next sections, we will provide an analysis of the requirements with which feasible system architectures and programming models must be able to comply.

Smith, M. B. (1968). A map for the analysis of personality and politics. Journal of Social Issues, 24(3), 15 28. (Reprinted in F. I. Greenstein & M. Lerner, Eds., A source book for the study of personality in politics, pp. 34 44. Chicago: Markham, 1971.) Smith, M. B. (1973). Political attitudes. In J. N. Knutson (Ed.), Handbook of political psychology (pp. 57 82). San Francisco: Jossey-Bass. Sniderman, P. M. (1975). Personality and democratic politics. Berkeley: University of California Press. Staub, E. (1989). The roots of evil: The origins of genocide and other group violence. New York: Cambridge University Press. Stone, W. F. (1974). The psychology of politics. New York: Free Press. Stone, W. F. (1980). The myth of left-wing authoritarianism. Political Psychology, 2, 3 19. Stone, W. F., & Baril, G. L. (1979). Self-other orientation and legislative behavior. Journal of Personality, 47, 162 176. Stone, W. F., & Schaffner, P. E. (1988). The psychology of politics (2nd ed.). New York: Springer-Verlag. Stone, W. F., & Smith, L. D. (1993). Authoritarianism: Left and right. In W. F. Stone, G. Lederer, & R. Christie (Eds.), Strength and weakness: The authoritarian personality today (pp. 144 156). New York: Springer-Verlag. Strack, S. (1991). Personality Adjective Check List manual (Rev. ed.). South Pasadena, CA: 21st Century Assessment. Strack, S. (1997). The PACL: Gauging normal personality styles. In T. Millon (Ed.), The Millon inventories: Clinical and personality assessment (pp. 477 497). New York: Guilford. Suedfeld, P. (1994). President Clinton s policy dilemmas: A cognitive analysis. Political Psychology, 15, 337 349. Suedfeld, P., & Tetlock, P. E. (1977). Integrative complexity of communications in international crises. Journal of Con ict Resolution, 21, 169 184. Swansbrough, R. H. (1994). A Kohutian analysis of President Bush s personality and style in the Persian Gulf crisis. Political Psychology, 15, 227 276.

Acquiring banks (also known as acquirers or merchant acquirers) represent the merchant. They process all of the merchant s credit card payments with the associations (American Express, MasterCard, Visa) and provide the merchant with reconciliation tools. The acquiring bank makes money on every transaction a merchant processes. There are numerous acquiring banks in the United States and abroad, and merchants are free to move from one acquirer to another. Merchants typically select their acquiring bank based on the amount of money, called basis points, they charge per transaction.