Cost-aware job scheduling for cloud instances using deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2022 at "Cluster Computing"
DOI: 10.1007/s10586-021-03436-8
Abstract: As the services provided by cloud vendors are providing better performance, achieving auto-scaling, load-balancing, and optimized performance along with low infrastructure maintenance, more and more companies migrate their services to the cloud. Since the cloud… read more here.
Keywords: time; job scheduling; reinforcement learning; deep reinforcement ... See more keywords
Energy- and locality-efficient multi-job scheduling based on MapReduce for heterogeneous datacenter
Sign Up to like & getrecommendations! Published in 2019 at "Service Oriented Computing and Applications"
DOI: 10.1007/s11761-019-00273-x
Abstract: Job scheduling of MapReduce is a research hot spot, especially on the heterogeneous datacenter. Huge energy consumption and operating costs are key challenges. Most of the previous work only considers the scheduling optimization of a… read more here.
Keywords: multi job; heterogeneous datacenter; energy; job ... See more keywords
Supporting Visual Exploration of Iterative Job Scheduling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2022.3163437
Abstract: We consider the general problem known as job shop scheduling, in which multiple jobs consist of sequential operations that need to be executed or served by appropriate machines having limited capacities. For example, train journeys… read more here.
Keywords: exploration iterative; job; supporting visual; job scheduling ... See more keywords
Optimized Thermal-Aware Job Scheduling and Control of Data Centers
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2017.2783366
Abstract: Analyzing data centers with thermal-aware optimization techniques is a viable approach to reduce energy consumption of data centers. By taking into account thermal consequences of job placements among the servers of a data center, it… read more here.
Keywords: optimized thermal; thermal aware; job scheduling; aware job ... See more keywords
Improving IBM POWER8 Performance Through Symbiotic Job Scheduling
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2017.2691708
Abstract: Symbiotic job scheduling, i.e., scheduling applications that co-run well together on a core, can have a considerable impact on the performance of processors with simultaneous multithreading (SMT) cores. SMT cores share most of their microarchitectural… read more here.
Keywords: ibm power8; symbiotic job; job; performance ... See more keywords
Deadline-Aware MapReduce Job Scheduling with Dynamic Resource Availability
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2018.2873373
Abstract: As MapReduce is becoming ubiquitous in large-scale data analysis, many recent studies have shown that the performance of MapReduce could be improved by different job scheduling approaches, e.g., Fair Scheduler and Capacity Scheduler. However, most… read more here.
Keywords: mapreduce; deadline; job; resource availability ... See more keywords
Group Based Job Scheduling to Increase the High-Performance Computing Efficiency
Sign Up to like & getrecommendations! Published in 2020 at "Lobachevskii Journal of Mathematics"
DOI: 10.1134/s1995080220120264
Abstract: The lifecycle of a supercomputer job includes queue waiting time, allocation of computational resources, job initialization, job execution on allocated resources, result saving and resources freeing. The paper focuses on scheduling optimization of supercomputer jobs… read more here.
Keywords: job; job scheduling; supercomputer; based job ... See more keywords
Optimization of Storage Location Assignment in Tier-To-Tier Shuttle-Based Storage and Retrieval Systems Based on Mixed Storage
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/2404515
Abstract: To improve the efficiency of tier-to-tier shuttle-based storage and retrieval system (SBS/RS), the optimization problem of the location allocation based on the mixed storage of goods is proposed. Considering the effect of warehouse operation scheduling… read more here.
Keywords: location allocation; storage; optimization; allocation ... See more keywords
A hybrid approach for scheduling applications in cloud computing environment
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v10i2.pp1387-1397
Abstract: Cloud computing plays an important role in our daily life. It has direct and positive impact on share and update data, knowledge, storage and scientific resources between various regions. Cloud computing performance heavily based on… read more here.
Keywords: applications cloud; approach scheduling; cloud computing; hybrid approach ... See more keywords