Abstract
It is well known that cloud computing has many potential advantages over traditional distributed systems. Many enterprises can build their own private cloud with open source infrastructure as a service (IaaS) frameworks. Since enterprise applications and data are migrating to private cloud, the performance of cloud computing environments is of utmost importance for both cloud providers and users. To improve the performance, previous studies on cloud consolidation have been focused on live migration of virtual machines based on resource utilization. However, the approaches are not suitable for multimedia big data applications. In this paper, we reveal the performance bottleneck of multimedia big data applications in cloud computing environments and propose a cloud consolidation algorithm that considers application types. We show that our consolidation algorithm outperforms previous approaches.
Highlights
The proliferation of multimedia big data and sharing of large amounts of information for various multimedia applications have brought an urgent need to develop efficient methods of processing them [1]
In this context, combining cloud infrastructure systems with multimedia big data is a relatively new field of computer science since cloud computing was developed by major IT providers whose major objective was to develop high performance computing solutions using the techniques of grid computing and utility computing [4,8]
We reveal the performance bottleneck of multimedia big data applications in cloud computing environments and propose a cloud consolidation algorithm that assigns tasks and
Summary
The proliferation of multimedia big data and sharing of large amounts of information for various multimedia applications have brought an urgent need to develop efficient methods of processing them [1]. While cloud computing has been considered as an efficient solution for processing parallel applications and CPU intensive workloads [7], cloud resource consolidation frameworks for multimedia big data have not been fully developed. In this context, combining cloud infrastructure systems with multimedia big data is a relatively new field of computer science since cloud computing was developed by major IT providers whose major objective was to develop high performance computing solutions using the techniques of grid computing and utility computing [4,8].
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