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Review the following network map and consider the following scenario and assumptions. A user at Client Workstation A (Client A) enters a request to the Web Server (Webb) in Building B. The Web application uses a client server architecture with the application logic spread across several servers. In order to complete the HTTP request, the application server initiates an Application Request (APP Request) to the application server (APP) located at 128.192.98.53. The application running on APP needs data from the Database Server at 128.192.80.5, and must issue a Database Request (DB Request) to the database to retrieve the needed information. Document the packet flow (all network hops) to complete the original HTTP request and response, including the application server (APP) and database server processing. You may assume the following: CA is an abbreviation for the Client A Workstation that has an IP address of 128.192.98.130. RA is an abbreviation for Building A Router A RB is an abbreviation for Building B Router B RC is an abbreviation for Building B Router C RE is an abbreviation for Building B Edge Router PRX is an abbreviation for the Proxy Server APP is an abbreviation for the Application Server DB is an abbreviation for the Database Server DNS is an abbreviation for the DNS Server SMTP is an abbreviation for the Email Server WebB is an abbreviation for the Web Server in Building B The DNS cache of Client A (CA) is empty. The ARP cache of the Application Server (APP) is empty. Otherwise, you may assume all other addresses are known. You may use the last two octets of the IP address and last four digits of the Ethernet address. All IP addresses have a subnet mask of 255.255.255.0 or /24 in classless notation.
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Empirical research has provided a substantial amount of backing to Vygotksy’s theory. However, several implications question the validity and reliability of the findings. Firstly, most research has been conducted with small samples (e.g Elder & Pederson, 1978). Use of small samples in experimental designs may assume false premises (Faber & Fonesca, 2014). Thus, producing a possible insignificant finding. Secondly, all experimental research employed great control over extraneous variables. This may be necessary in establishing a valid cause and effect relationship. However, it results in findings that may not be generalisable to the general population. For instance, Elder and Pederson pretested children in order to judge their eligibility into the study of symbolic play. This means only children familiar to the objects used in the experiment may be generalisable to the findings. On the other hand, longitudinal studies like the one employed by Orr & Geva (2015) have several benefits. Longitudinal designs allow experimenters to determine patterns of development that may not have been observed with short experimental designs. Language acquisition develops in stages and such study designs encourage in detail and valid findings. On the contrary, a large sample size is required. Orr and Geva’s study had a sample size of 14, thus a weak sample size for establishing causal relationships. Metacommunicative Theory: Gergory Bateson conceptualised the metacommunicative theory of play, where he suggested play as a paradox. Bateson suggested children who take part in pretend play operate at two levels; representing symbols to objects and understanding their own identities (Mellou, 1994). An example of children exhibiting both operations is when they take a short break from their pretend play and efficiently switch from pretend scenarios to their real-life situation (Garvey, 1977; Mellou, 1994). According to metacommunicative theory, children with the help of pretend and sociodramatic play understand the co>

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