In this presentation, Saksham talks about cloud computing and associated challenges WRT maintaining network speed etc. Saksham's interest area lies in analytics of usage of cloud so that the memory management can be more efficient, he is also interested in node to node communication.

1. SMAC
with emphasis
on cloud.
Name:SAKSHAM MEHTA
Email:saksham.mehta1234@gmail
.com
Twitter Id:@sakshammehta121
University:NIT Kurukshetra
Year/Semester: 3rd year
Branch: Computer science

2. Introduction
 Social mobile involves studying new ways people
interact ,communicate work in business . Cloud
involves smarter way to access chunk of data as per
demand to solve business problems.
 The management of mobile resources ,the multiple
access in case of shared cloud and maintaining
privacy in case of non-sharable data and private
clouds.
 For frequent access services, reasonable amount of
physical memory is reserved for caching and the
available memory is decided through the number of
instances of a process running through the cache

3. Trends
The need lies of the use of properly sized buffers in case
of considerable different traffic speeds in both
directions to prevent packet loss and deliver consistent
performance on the given scale.
Buffers should be capable of scheduling traffic as per
the system’s priority in case of various distributed , real-
time systems.
Small and medium sized business can scan source code
for their own web application protection as per
requirement(demand) in order to detect cyber attacks.
Managing of part of data(personal) on a public or
hybrid cloud

4. Interest Areas
 Managing communication among nodes ,disk I/o
operations and network input/output performance in a
distributed system is a challenge .
 Managing of redundant data on cloud network
,relational database usage should be as least as
possible,use of hash techniques for key-value pair
especially for files of different resource.Classification of
data on the basis of frequency of its access.
 Analysis and advance predictions of the resources
optimally consumed and the metrics of resources
underutilized.

5. Thank you