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Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud.

, , , , and . Middleware, page 260-272. ACM, (2021)

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A2Log: Attentive Augmented Log Anomaly Detection., , , , , , and . CoRR, (2021)Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts., , , , , , and . CLUSTER, page 261-270. IEEE, (2021)Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems., , , , and . IC2E, page 202-211. IEEE, (2023)LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision., , , and . ICSOC, volume 13121 of Lecture Notes in Computer Science, page 700-707. Springer, (2021)A Taxonomy of Anomalies in Log Data., , , and . ICSOC Workshops, volume 13236 of Lecture Notes in Computer Science, page 153-164. Springer, (2021)Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures., , , , , , , and . IPCCC, page 269-274. IEEE, (2022)Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud., , , , and . Middleware, page 260-272. ACM, (2021)Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies., , , , and . CoRR, (2021)TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services., and . ICSOC Workshops, volume 12632 of Lecture Notes in Computer Science, page 214-227. Springer, (2020)Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing., , , , and . IEEE Big Data, page 161-169. IEEE, (2022)