International Journal of Computer Networking,
Wireless and Mobile Communications (IJCNWMC)
ISSN 2250-1568
Vol. 3, Issue 3, Aug 2013, 135-144
© TJPRC Pvt. Ltd.
A COLLABORATIVE STUDY OF TRAFFIC MANAGEMENT IN CLOUD COMPUTING
ENVIRONMENT
MEGHA TRETHA
1
, HARSH.K.VERMA
2
& NAVEEN HEMRAJANI
3
1
M.Tech Scholar, Department of Computer Science Engineering, Suresh Gyan Vihar University, Jaipur, Rajasthan, India
2
Department of Computer Science Engineering, Suresh Gyan Vihar University, Jaipur, Rajasthan, India
3
Department of Computer Science Engineering, NIT, Jalandhar, Punjab, India
ABSTRACT
Cloud Computing is believed to be the technological paradigm in the area of computing and it will soon become
an industry standard. Despite of the fact that cloud provides a number of benefits, dangers associated with it cannot be
unseen. One of the biggest dangers that the cloud providers are facing today is the vast amount of traffic that is increasing
nearly in fraction of nanoseconds [1]. Cloud Service Providers need efficient ways to distribute data or better called
resources across wide area network (WWW). Large scale, geographically replicated online services provide new
opportunities for coordination between servers (to match clients with servers), traffic engineering (to efficiently distribute
traffic on different paths), content placement (to place data on specific servers for load balancing). Traditional designs tend
to isolate the above problems in traffic management, thus degrading the performance, reliability, responsiveness and
scalability [2]. To tackle with the increasing traffic, we are proposing the theory of decentralized optimization, game theory
and approximation algorithm to jointly provide solutions to these design problems that are controlled by different
institutions of CSP.
KEYWORDS: Cloud Computing, Cloud Service Provider, Traffic Engineering, Server Selection, Content Placement
INTRODUCTION
In the starting the cloud traffic was usually managed by individual entities, protocols such as MPLS came into
existence after that for traffic management and were somehow successful. Traditionally traffic management was done
separately by four parties that collectively make up cloud ecosystem. An illustration has been shown in the figure 1 given
below:
Internet Service Provider
Internet service providers are the network providers that provide connectivity or bandwidth to transport data
simply treating them packets [3]. The primary role of an ISP is to manage traffic by deploying infrastructure, manage
connectivity and load balancing.
Content Distribution Network
Content Distribution Networks provide the infrastructure to replicate content across geographically-diverse data
centers (or servers). Today's CDNs strategically deploy servers across geographically distributed areas, and replicate
content over a number of designated servers. CDNs solve a server selection (SS) problem.