Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Service Level Objectives"”.
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Satisfying service level objectives in stream processing systems
… on the stream processing jobs, in the form of service level objectives (SLOs) that include producing results within a specified deadline or producing results at a certain throughput. For example, an application that identifies traffic accidents can have tight latency SLOs as paramedics may need …
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Autoscaling through Self-Adaptation Approach in Cloud Infrastructure. A Hybrid Elasticity Management Framework Based Upon MAPE (Monitoring-Analysis-Planning-Execution) Loop, to Ensure Desired Service Level Objectives (SLOs)
… system with similar values can possibly meet all objectives simultaneously, irrespective of reliability of an underlying framework. The project successfully implements complete cloud infrastructure and autoscaling environment over experimental platforms i-e OpenStack and CloudSim Plus. In …
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Performance modeling framework for SLO-driven MapReduce environments
… need among MapReduce users to achieve different Service Level Objectives (SLOs). Often, applications need to complete data processing within a certain time deadline. Alternatively, users are interested in completing a set of jobs as fast as possible. Designing, prototyping, and evaluating new …
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Mitigating Compute Congestion for Low Latency Datacenter RPCs
… to maintain end-to-end latency within its service level objectives (SLO). With the innovations in datacenter networks and the end of Dennard scaling, congestion is now moving from networks to compute resources. This thesis introduces two systems, Breakwater and LDB, designed to mitigate and …
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Henge: An intent-driven scheduler for multi-tenant stream processing
… its own intents (i.e., requirements) as a Service Level Objective (SLO) that captures latency and/or throughput. In a multi-tenant cluster, the Henge scheduler adapts continually to meet jobs’ SLOs in spite of limited cluster resources, and under dynamic input workloads. SLOs are soft and …
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SLO-aware optimization and stateful orchestration for LLM systems
… throughput—fail to meet application-specific Service Level Objectives (SLOs). Furthermore, as workloads evolve into multi-agent systems (MAS), the lack of robust state management and error recovery in current runtimes creates a bottleneck for reliable orchestration. This thesis addresses these …
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Performance guarantees for deadline-driven MapReduce jobs under failure
Restriction data tranferred 2014-07-01T11:36:32-05:00 Original Data Group with Access Administrator Release Date: 2015-08-22 11:57:26 UTC Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system
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Virtualized application performance prediction using system metrics
… resources for each VM to meet application service level objectives (SLOs). The threshold between good and bad performance in terms of resource settings, however, is hard to determine and rarely static due to changing workloads and resource usage. Thus, in order to avoid SLO violations, …
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Burstiness and Uncertainty Aware Service Level Planning for Enterprise Clouds
… to increasingly adopt the cloud paradigm, Cloud Service Providers (SPs) need tools to help them plan their infrastructure capacity and decide on Service Level Agreements (SLAs) with customers prior to deploying their customers' applications. Service Level Objectives (SLOs) are specified for …
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Towards efficient and reliable infrastructure for machine learning
… hierarchical autoscaling that employs multi-level backpressure mechanisms that distinguishes between interactive and batch requests. The framework dynamically adjusts batch sizes at the local level using reactive backpressure and makes global scaling decisions based on request waiting time …