2 research outputs found

    Exploring vendor capabilities in the cloud environment: a case study of Alibaba Cloud Computing

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    Cloud computing has been viewed as an effective enabler for enhanced operational efficiency and flexibility in the present-day intensely competitive business environment. Despite the increased knowledge on cloud computing, very few studies have been conducted to explore vendors' capabilities for service development and delivery. This gap prevents us from developing a full understanding of the service provision process and the actions through which vendors develop cloud services and create value for clients. In this paper, we present an in-depth qualitative case study of Alibaba Cloud Computing, China’s biggest Infrastructure-as-a-Service (IaaS) vendor, and identify five important capabilities, namely, cloud platform development, cloud platform deployment, IaaS imitation, IaaS commercialization, and IaaS improvement. We suggest that these capabilities and the associated actions are central to vendors’ adoption of cloud computing, acquisition of knowledge, and delivery and improvement of their cloud service provision. This paper contributes incrementally to the evolving scholarship on cloud computing and also offers useful guidelines for current and aspiring vendors

    A Study for Scalable Directory in Parallel File Systems

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    One of the challenges that the design of parallel file system for HPC(High Performance Computing) has to face today is maintaining the scalability to handle the I/O generated by parallel applications that involve accessing directories containing a large number of entries and performing hundreds of thousands of operations per second. Currently, highly concurrent access to large directories is poorly supported in parallel file systems. As a result, it is important to build a scalable directory service for parallel file systems to support efficient concurrent access to larger directories. In this thesis we demonstrate a scalable directory service designed for parallel file systems(specifically for PVFS) that can achieve high throughput and scalability while minimizing bottlenecks and synchronization overheads. We describe important concepts and goals in scalable directory service design and its implementation in the parallel file system simulator--HECIOS. We also explore the simulation model of MPI programs and the PVFS file system in HECIOS, including the method to verify and validate it. Finally, we test our scalable directory service on HECIOS and analyze the performance and scalability based on the results. In summary, we demonstrate that our scalable directory service can effectively handle highly concurrent access to large directories in parallel file systems. We are also able to show that our scalable directory service scales well with the number of I/O nodes in the cluster
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