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https://scholarbank.nus.edu.sg/handle/10635/248172
Title: | VERTICAL ELASTICITY OF RESOURCE MANAGEMENT ON CLOUDS | Authors: | DOU RENGAN | ORCID iD: | ![]() |
Keywords: | Cloud Computing, Stream Processing, Elastic Resource Management, Fairness, Latency | Issue Date: | 20-Oct-2023 | Citation: | DOU RENGAN (2023-10-20). VERTICAL ELASTICITY OF RESOURCE MANAGEMENT ON CLOUDS. ScholarBank@NUS Repository. | Abstract: | Cloud computing has emerged as a dominant paradigm for efficiently managing and utilizing computing resources. However, the variability and fluctuations in workload experienced by long-running applications on clouds pose challenges in resource management, necessitating elastic resource allocation for dynamic adjustments. Vertical elasticity, particularly crucial for latency-sensitive applications such as stream applications, enables rapid resource adjustments. Thus, this thesis delves into the vertical elasticity in cloud resource management, with a focusing on the context of stream processing. Specifically, we explore novel resource provisioning strategies and framework designs across three distinct isolation granularities: the operating system level (e.g., virtual machines), the process level (e.g., Linux containers), and the thread level (e.g., slots in Apache Flink). Additionally, we consider two primary user expectations: ensuring performance fairness among general long-running applications and optimizing latency for streaming applications. Through innovative approaches and evaluations, this work provides insights into elastic resource management in cloud environments. | URI: | https://scholarbank.nus.edu.sg/handle/10635/248172 |
Appears in Collections: | Ph.D Theses (Open) |
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