Authors:
Yrjo Raivio
1
;
Oleksiy Mazhelis
2
;
Koushik Annapureddy
1
;
Ramasivakarthik Mallavarapu
1
and
Pasi Tyrväinen
2
Affiliations:
1
Aalto University, Finland
;
2
University of Jyväskylä, Finland
Keyword(s):
Hybrid Cloud, Short Message Service, Cost Evaluation, Traffic Characterization, Autoscaling.
Related
Ontology
Subjects/Areas/Topics:
Cloud Application Scalability and Availability
;
Cloud Computing
;
Cloud Computing Enabling Technology
;
Cloud Deployment Models: Public/Private/Hybrid Cloud
;
Energy and Economy
;
Fundamentals
;
Load Balancing in Smart Grids
;
Performance Development and Management
;
Platforms and Applications
;
Smart Grids
Abstract:
Dedicated and expensive computing platforms are commonly applied to mobile network systems. This is necessary, despite the economic burden, due to strict performance requirements in availability, latency and throughput. However, cloud computing is changing the rules of the game by offering cost efficient and high performance computer systems. Pay-per-use principle is helping network administrators to scale the computing capacity on a need basis, reducing both capex and opex costs. Several networks can benefit from this advantage in wireless services, including both end user and internal back end services. The focus in this paper is on the Short Message Service (SMS), which is one of the most successful and widespread end user services after voice in mobile networks. The SMS Center (SMSC) is used as a test bed to optimize the usage of public and private clouds in network operations, both in technology and business. This paper presents a hybrid cloud architecture that enables an automa
tic up-and-down-scaling of the system, using dynamic resource provisioning and depending on the service load. In addition, a cost analysis to find the optimal balance between public and private clouds is described. Finally, the proposed solution is thoroughly evaluated, future research ideas are highlighted and conclusions are drawn.
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