Nylander et al., 2020
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Liu et al. | Deadline‐constrained coevolutionary genetic algorithm for scientific workflow scheduling in cloud computing | |
| Wang et al. | Maptask scheduling in mapreduce with data locality: Throughput and heavy-traffic optimality | |
| Bell et al. | Optorsim: A grid simulator for studying dynamic data replication strategies | |
| Castiglione et al. | Modeling performances of concurrent big data applications | |
| Khaldi et al. | Fault tolerance for a scientific workflow system in a cloud computing environment | |
| Amini et al. | Providing a load balancing method based on dragonfly optimization algorithm for resource allocation in cloud computing | |
| Ivanovic et al. | Elastic grid resource provisioning with WoBinGO: A parallel framework for genetic algorithm based optimization | |
| Nguyen et al. | ForkTail: A black-box fork-join tail latency prediction model for user-facing datacenter workloads | |
| Raaijmakers et al. | Achievable stability in redundancy systems | |
| Kim et al. | Hybrid decentralized PBFT Blockchain Framework for OpenStack message queue | |
| Li et al. | MapReduce task scheduling in heterogeneous geo-distributed data centers | |
| Ramathilagam et al. | Workflow scheduling in cloud environment using a novel metaheuristic optimization algorithm | |
| Pelaez et al. | Autonomic scheduling of deadline-constrained bag of tasks in hybrid clouds | |
| Estrada et al. | The effectiveness of threshold-based scheduling policies in BOINC projects | |
| Zhou et al. | Efficient process mapping in geo-distributed cloud data centers | |
| Jin et al. | Adaptive and optimized agent placement scheme for parallel agent‐based simulation | |
| Nylander et al. | Towards performance modeling of speculative execution for cloud applications | |
| Nogueira et al. | Multi-objective optimization of multimedia embedded systems using genetic algorithms and stochastic simulation | |
| Sankar et al. | Efficient method for parallel process and matching of large data set in grid computing environment | |
| Han et al. | An adaptive scheduling algorithm for heterogeneous Hadoop systems | |
| Mahato | Cpns based reliability modeling for on-demand computing based transaction processing | |
| Nylander et al. | Modeling of request cloning in cloud server systems using processor sharing | |
| Zhang et al. | Graph partition–based data and task co‐scheduling of scientific workflow in geo‐distributed datacenters | |
| Zhou et al. | Scheduling-efficient framework for neural network on heterogeneous distributed systems and mobile edge computing systems | |
| Zaman et al. | Cost-effective data replication mechanism modelling for cloud storage |