PUPCET 2010 Results

http://www.pup.edu.ph/iApply/PUPCET2010.aspx

SETI@Home

SETI@home launched May 17, 1999 which allowed anyone in the world with a computer and an Internet connection to participate in SETI(Search for Extra-Terrestrial Intelligence).

The SETI@home project, managed by a group of researchers at the Space Sciences Laboratory of the University of California, Berkeley, is the first attempt
to use large-scale distributed computing to perform a sensitive search for radio
signals from extraterrestrial civilizations.



The image above is SETI@Home uses the National Astronomy and Ionospheric Center’s 305 meter telescope at Arecibo, Puerto Rico. The inset at right shows the details
of the “carriage house” structure. The SETI feed is the vertical structure extending
downward from the carriage house.

The main SETI@home server consists of three Sun Enterprise 450 series computers. One holds the user database, containing information on each of the 2.4 million SETI@home
volunteers (including the number of work units completed, time of last connection,
and team membership).

The second server system holds the science database in an ever-expanding array of redundant disks (currently a 432-Gbyte RAID 0+1).

The third server system contains the work unit storage, handling distribution of work units and storage of returned results.

SETI@home was originally slated to process two years worth of data from the Arecibo telescope. The strong public response and new improvements to the client software have prompted us to extend the survey.

Overview of Clustering

I really really like this thesis topic. I was amazed in SETI@Home process flow that leads me to research, however I did not pursue this because based on my research its too hard. Just an overview, supposedly, the topic was Peer-to-Peer Clustering, managing the resources of other workstations in peer mesh to have one(1) super computer implemented in Local Area Network(LAN).

Thesis Document

What I've learned today during consultation:

1. Make everything as detail as possible in your thesis document.

2. Be patient.

3. Everything is gonna be better than alright.

4. It's really hard if your panel members from thesis 1 is different in thesis 2.

My Thesis Topics

Inspired by the power of Peer-to-Peer(P2P). P2P refers to the concept that in a network of equals (peers) using appropriate information and communication systems, two or more individuals are able to spontaneously collaborate without necessarily needing central coordination. In contrast to client/server networks, P2P networks promise improved scalability, lower cost of ownership, self-organized and decentralized coordination of previously underused or limited resources, greater fault tolerance, and better support for building ad hoc networks. These are my proposed thesis topic:

1. Clustering
is a group of linked computers, working together closely so that in many respects they form a single computer. It usually deployed to improve performance and/or availability over that provided by a single computer, while typically being much more cost-effective than single computers of comparable speed or availability.

2. Load Balancing
is a technique to distribute workload evenly across two or more computers, network links, CPUs, hard drives, or other resources, in order to get optimal resource utilization, maximize throughput, minimize response time, and avoid overload.

3. File Mirroring
strategy of copying data automatically from a source host computer to a destination host computer for backup purposes or for making the data accessible locally at the destination hosts.

Thesis Topic

Selecting a thesis topic is very difficult. It requires more time to research, do a lot of readings. Aside from it, your reading materials must came from IEEE , ACM, published books less than 3 year old and approved Graduate Thesis.

Tips:

1. Know what you really want.

2. Read a lot.

3. Don't make it complicated, as long as it involves algorithm, its good.

4. Don't give up researching.

5. Look forward on the reward.

6. Pray.

MSCS Program of Study