OneService - Generic Cache Aggregator Framework for Service Depended Cloud Applications

B. Tekinerdogan, O.A. Oral

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

1 Citation (Scopus)


Current big data cloud systems often use different data migration strategies from providers to customers. This often results in increased bandwidth usage and herewith a decrease of the performance. To enhance the performance often caching mechanisms are adopted. However, the implementations of these caching mechanisms are often dedicated solutions for specific applications and/or use case scenarios. The adoption of different caching implementations within the same system leads to different problems including increased maintenance overhead, decrease of reuse, reduced adaptability, and resource allocation problems. To overcome these problems, in this paper we propose the so-called OneService Framework, which provides a generic cache aggregator mechanism that can be used with different cache storages to fetch and distribute the data from various providers. The framework as such helps to increase reuse, support adaptability, resolve the resource allocation problems, and enhance the overall performance of the system. We discuss the overall design of the framework together with the basic implementation concerns. The framework is illustrated for analyzing the maintenance, reusability and cost of MSN backend services.
Original languageEnglish
Title of host publicationProceedings 2017 IEEE 10th International Conference on Cloud Computing
EditorsGeoffrey C. Fox
PublisherIEEE Xplore
ISBN (Print)9781538619933
Publication statusPublished - 2017
Event10th. IEEE International Conference on Cloud Computing - Honolulu, United States
Duration: 25 Jun 201730 Jun 2017

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190


Conference10th. IEEE International Conference on Cloud Computing
Country/TerritoryUnited States


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