A QoS aware services mashup model for cloud computing applications
Abstract: With the popularity
of cloud computing, cloud services have become to be application programming
platform where users can create new applications mashup(composing) the
functionality offered byothers.By composing of distributed, cloud services dynamicallyto
provide more complex tasks, services mashup provides an attractive way for
building large-scale Internetapplications.Oneof the challenging issues of cloud
services mashup is how to find service paths to route the service instances
provider through whilemeeting the applications’ resource requirements so that
the QoS constraints are satisfied. However, QoS aware service routing problem
istypically NP-hard.The purpose of this paper is to propose a QoS Aware
Services Mashup(QASM) model to solve this problem more effectively.
Design/methodology/approach: In this paper, we focus on the QoS aware
services selection problem in cloud services mashup, for example, given the
user service composition requirements and their QoS constraint descriptions,
how to select the required serviceinstances and route the data flows through
these instances so that the QoS requirements are satisfied. We design a
heuristic algorithm to find service paths to route the data flows through
whilemeeting the applications’ resource requirements and specific QoS
constraints.
Findings: This study propose a QoS Aware Services Mashup(QASM) model to
solve this problem more effectively. Simulations show that QASM can achieve
desired QoS assurances as well as load balancing in cloud services environment.
Originality/value: This paperpresent a QASM model for providing high
performance distributedapplications in the cloud computing systems.
Author: Yee Ming Chen, Yi Jen
Peng
Journal Code: jptindustrigg120024
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