Bca final year projects c++
FRONT END -ASP.NET, C#BACK END - SQL SEVER 2007 MCA FINAL YEAR PROJECT Project SYNOPSIS OF ONLINE EXAMINATION SYSTEM Final Report Of Online Examination System withfull Documentation
Using Data Accessibility for Resource Selection in
Large-Scale Distributed Systems
Abstract
Emerging scientific applications,
however, are data intensive and require access to a significant amount of dispersed
data. Hence, in order to accommodate data-intensive applications in
loosely coupled distributed systems, it is essential to consider not only the
computational capability, but also
the data accessibility of computational nodes to the required data objects. We
introduce the notion of accessibility to capture both availability and
performance. An increasing number of data-intensive applications require not
only considerations of node computation power but also accessibility for
adequate job allocations. For instance, selecting a node with intolerably slow
connections can offset any benefit to running on a fast node. In this project,
we present accessibility-aware resource selection techniques by which it is
possible to choose nodes that will have efficient data access to remote data
sources. We show that the local data access observations collected from a
node’s neighbors are sufficient to characterize accessibility for that node.
The suggested techniques are also shown to be stable even under churn despite
the loss of prior observations.
EXISTING
SYSTEM:
- In particular, the ability of large-scale systems to harvest
idle cycles of geographically distributed nodes has led to a growing
interest in cycle sharing systems and home projects.
EXISTING
SYSTEM DISADVANTAGE:
- A major challenge in these systems is the network
unpredictability and limited bandwidth available for data dissemination.
- It is expensive
- It is not scalable
PROPOSED SYSTEM:
- This system model consists of a network of compute nodes that
provide computational resources for executing application jobs and data
nodes that store data objects required for computation. In our context,
data objects can be files, database records, or any other data
representations.
- In this system we assume
that both compute and data nodes are connected in an overlay structure. We
do not assume any specific type of organization for the overlay. It can be
constructed by using typical overlay network architectures such as
unstructured and structured or any other techniques.
- However, we assume that the system provides built-in functions
for object store and retrieval so that objects can be disseminated and
accessed by any node across the system. Each node in the network can be a
compute node, data node, or both.
PROPOSED SYSTEM ADVANTAGE:
- In this System accessibility is to capture both availability
and performance.
- The system provides built-in functions for object store and
retrieval so that objects can be disseminated and accessed by any node
across the system.
- It is inexpensive and scalable when compare to the existing
system.
SYSTEM SPECIFICATION:
·
Hardware Requirements:
§ PROCESSOR :
PENTIUM IV 2.6 GHz
§ RAM : 512 MB DD RAM
§ MONITOR
: 15” COLOR
§ HARD DISK : 20
GB
§ FLOPPY DRIVE : 1.44
MB
§ CDDRIVE
: LG 52X
§ KEYBOARD : STANDARD
102 KEYS
§ MOUSE
: 3 BUTTONS
Software Requirements:
§ FRONT END : Java, Swing
§ OPERATING SYSTEM :
Window’s XP
§ BACK END : MYSQL
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