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PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications.

, , , , and . ACM Trans. Model. Perform. Evaluation Comput. Syst., 1 (4): 15:1-15:31 (2016)

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Adaptive Anomaly Detection in Performance Metric Streams., , and . IEEE Trans. Network and Service Management, 15 (1): 217-231 (2018)A Light-Weight Grid Workflow Execution Engine Enabling Client and Middleware Independence., , and . PPAM, volume 4967 of Lecture Notes in Computer Science, page 754-761. Springer, (2007)Design and Evaluation of Parallel Block Algorithms: LU Factorization on an IBM 3090 VF/600J., , , and . PPSC, page 3-10. SIAM, (1991)How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload., , , , , , , and . IC2E, page 349-354. IEEE Computer Society, (2014)Online Spike Detection in Cloud Workloads., , , and . IC2E, page 446-451. IEEE Computer Society, (2015)Service Level and Performance Aware Dynamic Resource Allocation in Overbooked Data Centers., , and . CCGrid, page 42-51. IEEE Computer Society, (2016)Evaluation of delta compression techniques for efficient live migration of large virtual machines., , , and . VEE, page 111-120. ACM, (2011)A2L2: An Application Aware Flexible HPC Scheduling Model for Low-Latency Allocation., , , and . VTDC@HPDC, page 11-19. ACM, (2015)Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments., , , and . UCC, page 19-28. ACM, (2017)Scalable Grid-wide capacity allocation with the SweGrid Accounting System (SGAS)., , , , and . Concurrency and Computation: Practice and Experience, 20 (18): 2089-2122 (2008)