2. Team Members
•
•
•
•
01. A.M. Tharindu B. Adhikari
02. I.P.V. Vithana Pathirage
03. Nimesh Tharuka Kaluarachchi
04. Pahan Sri Madusanka Rodrigo
MSCAI/12/04
MSCAI/12/09
MSCAI/12/10
MSCAI/12/15
Distributed Computing Concepts for Artificial Intelligence
3. Challenge (Identified problem)
Today there is a large explosion of Cloud-based
systems on internet. Representative is our
Project, searching file, which enables users in
cloud systems to search for and download files,
documents, images, play lists, software and
videos. One of the existing problems is how to
manage secure access and bill the engaging
parties.
Distributed Computing Concepts for Artificial Intelligence
5. Program Description
(1) Functional Requirements:
• This system follows a client – server
architecture.
• Its server maintains a repository of XML/RDF
documents.
• Users through client, place a query and gets
documents by their name.
Distributed Computing Concepts for Artificial Intelligence
6. Program Description
(2) Non Functional Requirements:
(2.1) High Availability:
• This system provides failure transparency.
• Designated client would monitor the server liveness.
• This system assumes that all servers have access to a highly available file system at
the back-end and do not replicate the repository.
(2.2) Reliability:
• Upon a server crash, the client would notify all pending requests about the failure.
• Exception mechanism would be implemented to catch exceptional conditions.
• Client failures would be detected by the server and would not block server
resources.
Distributed Computing Concepts for Artificial Intelligence
7. Program Description
(2.3) Concurrency and Consistency:
• Synchronization would be designed to ensure the safety.
• The users would not get mixed versions of documents.
(2.4) Performance:
• The system design would exploit multi threading in order to enhance
response time and system throughput.
(2.5) Caching and Coherency:
• Client caching for documents would be allowed to improve retrieval
performance.
• Cache coherency mechanism would be employed.
(2.6) Scalability:
• Architecture would be scales up to large number of users and documents.
Distributed Computing Concepts for Artificial Intelligence
9. Specializations
The DSS major offers 5 specializations, each at a
different location. To meet the requirements for
geographic mobility, the chosen exit point needs to
differ from the chosen entry point.
• Mobile Services
• Cloud Operation
• Cloud Infrastructures
• Data Intensive Computing
• Distributed Information Management
Distributed Computing Concepts for Artificial Intelligence
