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Scheduling real‐time bag‐of‐tasks applications with approximate computations in SaaS clouds
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems
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Hard Real-Time Computing Systems
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The Impact of Input Error on the Scheduling of Task Graphs with Imprecise Computations in Heterogeneous Distributed Real-Time Systems
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Power-aware Bag-of-Tasks scheduling on heterogeneous platforms
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Cloud computing services: taxonomy and comparison
inferredcites →https://doi.org/10.1016/j.future.2003.10.004openalex-snapshot
Heuristic scheduling for bag-of-tasks applications in combination with QoS in the computational grid
inferredcites →https://doi.org/10.1016/j.future.2012.01.005openalex-snapshot
A family of heuristics for agent-based elastic Cloud bag-of-tasks concurrent scheduling
inferredcites →https://doi.org/10.1016/j.future.2012.03.002openalex-snapshot
Scheduling real-time DAGs in heterogeneous clusters by combining imprecise computations and bin packing techniques for the exploitation of schedule holes
inferredcites →https://doi.org/10.1016/j.future.2012.12.012openalex-snapshot
Online cost-efficient scheduling of deadline-constrained workloads on hybrid clouds
inferredcites →https://doi.org/10.1016/j.jpdc.2011.01.002openalex-snapshot
Scalability limits of Bag-of-Tasks applications running on hierarchical platforms
inferredcites →https://doi.org/10.1016/j.jss.2006.05.035openalex-snapshot
Exploiting idle cycles to execute data mining applications on clusters of PCs
inferredcites →https://doi.org/10.1016/j.jss.2009.12.025openalex-snapshot
Scheduling multiple task graphs with end-to-end deadlines in distributed real-time systems utilizing imprecise computations
inferredcites →https://doi.org/10.1016/j.simpat.2008.10.001openalex-snapshot
Performance of gang scheduling strategies in a parallel system
inferredcites →https://doi.org/10.1016/j.simpat.2010.08.010openalex-snapshot
Scheduling multiple task graphs in heterogeneous distributed real-time systems by exploiting schedule holes with bin packing techniques
inferredcites →https://doi.org/10.1016/j.simpat.2015.04.009openalex-snapshot
A meta-heuristic optimization approach to the scheduling of bag-of-tasks applications on heterogeneous clouds with multi-level arrivals and critical jobs
inferredcites →https://doi.org/10.1016/j.simpat.2016.10.009openalex-snapshot
Different aspects of workflow scheduling in large-scale distributed systems
inferredcites →https://doi.org/10.1016/s1569-190x(03)00092-3openalex-snapshot
Simulation study of multitasking in distributed server systems with variable workload
inferredcites →https://doi.org/10.1109/32.585499openalex-snapshot
Algorithms for scheduling real-time tasks with input error and end-to-end deadlines
inferredcites →https://doi.org/10.1109/ccgrid.2007.85openalex-snapshot
Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters
inferredcites →https://doi.org/10.1109/cits.2015.7297765openalex-snapshot
Scheduling bags of tasks and gangs in a distributed system
inferredcites →https://doi.org/10.1109/cloudcom.2014.20openalex-snapshot
Energy-Efficient Scheduling of Urgent Bag-of-Tasks Applications in Clouds through DVFS
inferredcites →https://doi.org/10.1109/ficloud.2015.93openalex-snapshot
A Cost-Effective and QoS-Aware Approach to Scheduling Real-Time Workflow Applications in PaaS and SaaS Clouds
inferredcites →https://doi.org/10.1109/hcw.1998.666558openalex-snapshot
Scheduling resources in multi-user, heterogeneous, computing environments with SmartNet
inferredcites →https://doi.org/10.1109/icpp.2015.60openalex-snapshot
SLA-Based Resource Scheduling for Big Data Analytics as a Service in Cloud Computing Environments
inferredcites →https://doi.org/10.1109/issre.2010.46openalex-snapshot
Log-Based Reliability Analysis of Software as a Service (SaaS)
inferredcites →https://doi.org/10.1109/spects.2016.7570524openalex-snapshot
Scheduling real-time parallel applications in SaaS clouds in the presence of transient software failures
inferredcites →https://doi.org/10.1109/tc.2007.1042openalex-snapshot
Practical Scheduling of Bag-of-Tasks Applications on Grids with Dynamic Resilience
inferredcites →https://doi.org/10.1109/tc.2011.68openalex-snapshot
QoS-Aware Fault-Tolerant Scheduling for Real-Time Tasks on Heterogeneous Clusters
inferredcites →https://doi.org/10.1109/tpds.2013.107openalex-snapshot
Improving the Performance of IndependentTask Assignment Heuristics MinMin,MaxMin and Sufferage
inferredcites →https://doi.org/10.1109/vlsid.2014.36openalex-snapshot
Inserting Placeholder Slack to Improve Run-Time Scheduling of Non-preemptible Real-Time Tasks in Heterogeneous Systems
inferredcites →https://doi.org/10.1145/1383422.1383435openalex-snapshot
The performance of bags-of-tasks in large-scale distributed systems
inferredcites →https://doi.org/10.1145/1657120.1657121openalex-snapshot
Power-aware provisioning of Cloud resources for real-time services
inferredcites →https://doi.org/10.1145/1842722.1842724openalex-snapshot
The impact of service demand variability on resource allocation strategies in a grid system
inferredcites →https://doi.org/10.1145/2674396.2674469openalex-snapshot
The impact of resource heterogeneity on the timeliness of hard real-time complex jobs
inferredcites →https://doi.org/10.1145/3053600.3053611openalex-snapshot
Simulation-Based Performance Evaluation of an Energy-Aware Heuristic for the Scheduling of HPC Applications in Large-Scale Distributed Systems
inferredcites →https://doi.org/10.1145/321738.321743openalex-snapshot
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
inferredcites →https://doi.org/10.1145/322003.322011openalex-snapshot
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
inferredcites →https://doi.org/10.1177/0037549709340729openalex-snapshot
Fault-tolerant Gang Scheduling in Distributed Real-time Systems Utilizing Imprecise Computations
inferredcites →https://doi.org/10.2174/9789815179514124010007openalex-snapshot
Discrete Event System Simulation
inferredcites →https://doi.org/10.5220/0006223101440151openalex-snapshot
Scheduling Different Types of Applications in a SaaS Cloud
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Emerging challenges and frontiers in cloud computing
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Workload Scheduling in Fog and Cloud Environments: Emerging Concepts and Research Directions
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Scheduling Data-Intensive Workloads in Large-Scale Distributed Systems: Trends and Challenges
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Resource allocation and aging priority-based scheduling of linear workflow applications with transient failures and selective imprecise computations
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Security, Cost and Energy Aware Scheduling of Real-Time IoT Workflows in a Mist Computing Environment
inferred← citeshttps://doi.org/10.1007/s11042-020-08974-8openalex-snapshot
Dynamic scheduling of bags-of-tasks with sensitive input data and end-to-end deadlines in a hybrid cloud
inferred← citeshttps://doi.org/10.1016/j.bdr.2024.100453openalex-snapshot
Scheduling critical periodic jobs with selective partial computations along with gang jobs
inferred← citeshttps://doi.org/10.1016/j.future.2019.02.019openalex-snapshot
An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations
inferred← citeshttps://doi.org/10.1016/j.jpdc.2021.07.019openalex-snapshot
Dynamic fault tolerant scheduling with response time minimization for multiple failures in cloud
inferred← citeshttps://doi.org/10.1016/j.simpat.2018.09.013openalex-snapshot
The impact of workload variability on the energy efficiency of large-scale heterogeneous distributed systems
inferred← citeshttps://doi.org/10.1016/j.simpat.2018.11.006openalex-snapshot
Performance evaluation of a SaaS cloud under different levels of workload computational demand variability and tardiness bounds
inferred← citeshttps://doi.org/10.1016/j.simpat.2021.102329openalex-snapshot
SinergyCloud: A simulator for evaluation of energy consumption in data centers and hybrid clouds
inferred← citeshttps://doi.org/10.1016/j.simpat.2025.103082openalex-snapshot
Scheduling bag-of-task jobs with security requirements and dual-criteria partial computations in a fog – cloud system
inferred← citeshttps://doi.org/10.1080/03772063.2023.2185298openalex-snapshot
Integrating Two-Level Reinforcement Learning Process for Enhancing Task Scheduling Efficiency in a Complex Problem-Solving Environment
inferred← citeshttps://doi.org/10.1109/access.2025.3614754openalex-snapshot
Energy-Aware Scientific Real-Time DAG Scheduling Using Slack Reclamation in Heterogeneous DVFS Cloud Datacenters
inferred← citeshttps://doi.org/10.1109/ccci58712.2023.10290861openalex-snapshot
Scheduling Different Types of Linear Workflows with Partial Computations in a Distributed System
inferred← citeshttps://doi.org/10.1109/cits58301.2023.10188766openalex-snapshot
Scheduling Delay-Sensitive Bag-of-Task Jobs with Imprecise Computations on Distributed Resources
inferred← citeshttps://doi.org/10.1109/cits61189.2024.10607989openalex-snapshot
Allocation and Scheduling of Linear Workflows Incorporating Security Constraints Across Fog and Cloud Infrastructures
inferred← citeshttps://doi.org/10.1109/elmar62909.2024.10694082openalex-snapshot
Scheduling Bag-of-Tasks with Selective Imprecise Computations in a Mist - Fog - Cloud Environment
inferred← citeshttps://doi.org/10.1109/ficloud.2018.00013openalex-snapshot
Energy-Aware Scheduling of Real-Time Workflow Applications in Clouds Utilizing DVFS and Approximate Computations
inferred← citeshttps://doi.org/10.1109/ficloud58648.2023.00021openalex-snapshot
Scheduling Critical Periodic Jobs with Partial Computations along with Gang Jobs
inferred← citeshttps://doi.org/10.1109/ficloud62933.2024.00009openalex-snapshot
Scheduling Bag-of-Task Jobs with Security Requirements and Partial Computations in a Fog – Cloud System
inferred← citeshttps://doi.org/10.1109/ic_aset61847.2024.10596150openalex-snapshot
Scheduling Bag-of-Task Jobs with Selective Approximate Computations in Distributed Systems
inferred← citeshttps://doi.org/10.1109/iccta60978.2023.10969336openalex-snapshot
Scheduling Linear Workflows with Various Levels of Privacy Requirements in a Fog – Cloud Environment
inferred← citeshttps://doi.org/10.1109/icics49469.2020.239562openalex-snapshot
Scheduling a Job Mix of Bag-of-Tasks and Bag-of-Task-Chains on Distributed Resources
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Scheduling techniques for complex workloads in distributed systems
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Scheduling Single-Task Jobs along with Bag-of-Task-Chains in Distributed Systems
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A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems
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Orchestrating Bag-of-Tasks Applications with Dynamically Spawned Tasks in a Distributed Environment
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Improvement in Task Scheduling Capabilities for SaaS Cloud Deployments Using Intelligent Schedulers
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Real-Time Monitoring System for Forest Fire Prevention and Combat: A Case Study in the Brazilian Semi-Arid Region
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AVIN: A Case Study on a Supporting Tool for the Self-Assessment Process in Higher Education Institutions
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