What are the four major limitations of today’s Internet?

 The four major limitations of today’s Internet are bandwidth, quality of service, network architecture, and language development. There is insufficient bandwidth capacity throughout the backbone, the metropolitan switching centers, and most importantly, to the houses and small businesses at the end of the information pipeline. Due to insufficient bandwidth and the circuitous nature of packet switching, video and voice traffic suffers from latency. This causes these types of messages to arrive with noticeable delays and a jerky quality. Because today’s Internet uses “best efforts” quality of service, each packet is provided with the same level of service. This means that all packets traveling through the communication system are treated the same, no matter who is sending them or what type of message they are.



Network architecture restrictions also limit the performance of the Internet. A thousand requests for the same file result in a server having to download the file one thousand times rather than being able to transmit it once to all one thousand computers at the same time. This significantly slows down network performance. Finally, HTML, the language for displaying Web pages, has proven to be insufficient for displaying rich documents such as database files, business documents, and graphics.

Comments

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Suppose that a data warehouse consists of the three dimensions time, doctor, and patient, and the two measures count and charge, where a charge is the fee that a doctor charges a patient for a visit. a) Draw a schema diagram for the above data warehouse using one of the schemas. [star, snowflake, fact constellation] b) Starting with the base cuboid [day, doctor, patient], what specific OLAP operations should be performed in order to list the total fee collected by each doctor in 2004? c) To obtain the same list, write an SQL query assuming the data are stored in a relational database with the schema fee (day, month, year, doctor, hospital, patient, count, charge)

Suppose that a data warehouse consists of the four dimensions; date, spectator, location, and game, and the two measures, count and charge, where charge is the fee that a spectator pays when watching a game on a given date. Spectators may be students, adults, or seniors, with each category having its own charge rate. a) Draw a star schema diagram for the data b) Starting with the base cuboid [date; spectator; location; game], what specific OLAP operations should perform in order to list the total charge paid by student spectators at GM Place in 2004?