The migration of workloads to the cloud necessitates careful planning, including the provision of a sufficient number of easily available virtual machines (VMs). This paper addresses the NP-hard problem of load distribution by proposing an advanced scheduling technique designed to tackle this issue ...
Resource provisioning using workload clustering in cloud computing environment: a hybrid approach Article 23 April 2020 An efficient resource provisioning approach for analyzing cloud workloads: a metaheuristic-based clustering approach Article 23 April 2020 Resource provisioning and scheduling in clouds...
Energy Efficient and Reliability Aware Workflow Task Scheduling in Cloud Environment With the rising demand for cloud services, the high energy consumption of cloud data centers is a significant problem that needs to be handled. The Dynamic... R Medara,RS Singh - 《Wireless Personal Communications...
A multi-objective grey-wolf optimization based approach for scheduling on cloud platforms 2024, Journal of Parallel and Distributed Computing Citation Excerpt : For scheduling, the queue processing is performed using the max-min strategy and the tasks are sorted using predicted runtime on the VM wit...
(SLA) with the customers. From the perspective of energy efficiency, a cloud computing data center can be defined as a pool of computing and communication resources organized in the way to transform the received power into computing or data transfer work to satisfy user demands. The fi...
A collection of tools to collect, analyze and replay SQL Server workloads, on premises and in the cloud replaysqlserverworkload UpdatedMar 7, 2025 C# intel/platform-aware-scheduling Star174 Enabling Kubernetes to make pod placement decisions with platform intelligence. ...
This report lists the top Cloud-based Workload Scheduling Software companies based on the 2023 & 2024 market share reports. Mordor Intelligence expert advisors conducted extensive research and identified these brands to be the leaders in the Cloud-based Workload Scheduling Software industry. ...
Workload scheduling and automation solutions would be instrumental in centralizing control over business processes and cloud computing systems. End-use Insights The retail segment held the largest market share of around 25% in 2019 owing to the increasing adoption of WLA solutions by retailers for ...
Arantes, L., Friedman, R., Marin, O., Sens, P.: Probabilistic Byzantine tolerance scheduling in hybrid cloud environments. In: Proceedings of the 18th International Conference on Distributed Computing and Networking, ICDCN ’17, pp. 2:1–2:10. ACM, New York (2017).https://doi.org/10.114...
2022 Synergy (Mohan et al., 2022) ✿♣ Optimistic Profiling; Greedy Scheduling Non-dominant resource aware - - - M -Table 2. Summary of schedulers for DL inference workloads in GPU Datacenters. Year Scheduler Objectives Approaches Advantages Batching Colocate Cloud Exp. Scale Source Code 20...