The document defines distributed systems as a set of autonomous computational resources that communicate through a network to achieve a common goal. It discusses key concepts like cooperation, autonomy, and communication in distributed systems. It also covers advantages like reliability, resource sharing, and scalability, as well as disadvantages like security and complexity. The document then discusses the evolution of distributed systems and various architectural models like master-worker, client-server, and peer-to-peer. Finally, it outlines several fields of application for distributed systems like computer science, science/engineering, business, and public administration.

1. Execution Environments for Distributed Computing Distributed Systems EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS Homework number: 1 Group number: EEDC-30 Group members: Javier Álvarez [email_address] Francesc Lordan [email_address] Roger Rafanell [email_address]

3. Execution Environments for Distributed Computing Part 1 Definition EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS

8. Execution Environments for Distributed Computing Part 2 Evolution and Architectures EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS

9. Evolution 1951 UNIVAC Internet 1995 Packet Switching & First WAN 1965 1969 ARPANET 1973 TCP/IP ENIAC 1945 First conference in distributed computing 1982 Utility Computing 1961 1996 Volunteer Computing Cloud Computing 2007 1964 First Supercomputer (CDC 6600) MPI 1992 P2P Systems 1999 1998 SOAP Grid Computing 1990 1991 WWW

12. Execution Environments for Distributed Computing Part 3 Fields of application EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS

16. Execution Environments for Distributed Computing Part 4 Questions EEDC 34330 Master in Computer Architecture, Networks and Systems - CANS

17. Questions