文档介绍：华中科技大学硕士学位论文
Abstract
In the area of bioinformatics, people have widely accepted the natural idea, getting a
structure of protein by putation, which requires a huge mount of
computation ability. To solve the lack puting ability, many distributed platforms have
been proposed and constructed for putation of protein folding. Although these
platforms have resolved the lack putation resources at some degrees, they always
have two ings: a hidden trouble the server will break down, the task partition is not
flexible. According the problems listed above, the design and implementation of P2HP
(P2P-based high puting platform) conquers these problems, making the
platform more flexible, fault-tolerant and scalable.
To P2HP, high efficient mechanism of task management is indispensable. To reach this
aim, anizes the task by the type of files, which decide there are some merits in the
task storing, the task transmission and the task operation. P2HP takes the strategy of storing
the metadata and the embedded database to improve the efficiency of task access, defines
the transmission protocol based on the data pipe to quick the task transmission, provides a
integrated development software package to convenience the operations for users and
volunteers.
By analyzing the algorithm of PERM (Pruned-Enriched-Rosenbluth Method) based on
the lattice model, we design a strategy to distribute this algorithm and give some ideas about
how to implement the strategy on some distributed platforms. At last, the PERM algorithm
is deployed on P2HP. The ess of running the PERM on the platform will incarnate the
generalization, usability and efficiency of P2HP and provide a new way to solve the
problem of protein folding.
The experiment result demonstrates the distributed operation of protein folding
computing based on PERM by using P2HP, not only can increase the amount of searching
the result space, but also be able to find the best structure