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Towards Declarative and Data-Centric Virtual Machine Image Management in IaaS Clouds

2017; Institute of Electrical and Electronics Engineers; Volume: 7; Issue: 4 Linguagem: Inglês

10.1109/tcc.2017.2728066

2372-0018

Haikun Liu, Bingsheng He, Xiaofei Liao, Hai Jin,

Distributed and Parallel Computing Systems

Virtual machine image (VMI) management has become one of the key infrastructure components in Infrastructure as a Service (IaaS) cloud systems. Any "good" VMI management system should support flexible and efficient VMI services to cloud users, and offer scalable, easy-to-maintain and efficient VMI management for cloud providers. While there have been a number of systems and optimizations for VMI management, this paper investigates a declarative and data-centric approach to VMI management for both cloud users and providers. Specifically, by viewing VMI management as a data-intensive application, we propose Hemera, a novel VMI management system prototype based on relational database systems. Hemera adopts a data-centric approach to VMI management system design, where a VMI is modeled as structured data. With the data-centric approach, the key operations of VMI management can be recast naturally as programs based on SQL language. Moreover, Hemera embraces a series of automatic optimization opportunities with their root from databases. We have developed a system prototype based on MySQL. Our experimental results show the efficiency and feasibility of our declarative and data-centric approach to VMI Management.