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Cloud-based big data platforms are being widely adopted in industry, due to their advantages of facilitating the implementation of big data processing and enabling elastic service frameworks. With the widespread adoption of cloud-based MapReduce frameworks, a series of solutions have been proposed to improve the performance of big data services over cloud. The majority of the existing studies concentrate...
In today's production-grade cloud datacenter, cloud service providers do not offer any bandwidth guarantees between VMs, which results in unpredictable performance of tenants' applications. To address this issue, we present SpongeNet, a solution that provides bandwidth guarantees for tenants with a novel network abstraction model and a two-phase VM placement algorithm. Prior solutions have significant...
Live virtual machine (VM) migration enables seamless movement of an online server from one location to another to achieve failure recovery, load balancing, and system maintenance. Beyond single VM migration, a multi-tier application involves a group of correlated VMs and its live migration will require careful scheduling of the migrations of the member VMs. Our observations from extensive experiments...
Cloud-based big data platforms are being widely adopted in industry, due to their advantages of facilitating the implementation of big data processing and enabling elastic service framework. Alongside with the widespread adoption of cloud-based MapReduce frameworks, a series of solutions have been proposed to improve the performance of big data services over cloud. Majorities of the existing studies...
This paper presents a novel Management-as-a-Service (MaaS) architecture which is based on cloud computing architecture and provides more scalable network management capabilities to network managers. Ontology based semantic information model which supports communications between management services described by heterogeneous information, and functional model which schedules the deployment of each management...
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