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The impact of checkpointing interval selection on the scheduling performance of real‐time fine‐grained parallel applications in SaaS clouds under various failure probabilities
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4614-0676-1openalex-snapshot
Hard Real-Time Computing Systems
inferredcites →https://doi.org/10.1007/978-3-319-19578-0_49openalex-snapshot
On the Optimum Checkpointing Interval Selection for Variable Size Checkpoint Dumps
inferredcites →https://doi.org/10.1007/s13174-011-0027-xopenalex-snapshot
Cloud computing services: taxonomy and comparison
inferredcites →https://doi.org/10.1016/j.future.2004.11.016openalex-snapshot
A higher order estimate of the optimum checkpoint interval for restart dumps
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.jnca.2016.08.010openalex-snapshot
Reliability and energy efficiency in cloud computing systems: Survey and taxonomy
inferredcites →https://doi.org/10.1016/j.jpdc.2014.01.005openalex-snapshot
Fault-tolerant scheduling on parallel systems with non-memoryless failure distributions
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.2016.10.009openalex-snapshot
Different aspects of workflow scheduling in large-scale distributed systems
inferredcites →https://doi.org/10.1109/ccgrid.2011.63openalex-snapshot
On the Scheduling of Checkpoints in Desktop Grids
inferredcites →https://doi.org/10.1109/cits.2014.6878969openalex-snapshot
Scheduling jobs with different characteristics in distributed systems
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/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/msst.2007.24openalex-snapshot
Modeling the Impact of Checkpoints on Next-Generation Systems
inferredcites →https://doi.org/10.1109/msst.2007.4367962openalex-snapshot
Modeling the Impact of Checkpoints on Next-Generation Systems
inferredcites →https://doi.org/10.1109/noms.2012.6212007openalex-snapshot
Workflow scheduling for SaaS / PaaS cloud providers considering two SLA levels
inferredcites →https://doi.org/10.1109/reldis.1997.632814openalex-snapshot
Preventing useless checkpoints in distributed computations
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.2011.68openalex-snapshot
QoS-Aware Fault-Tolerant Scheduling for Real-Time Tasks on Heterogeneous Clusters
inferredcites →https://doi.org/10.1109/tse.1987.232562openalex-snapshot
Checkpointing and Rollback-Recovery for Distributed Systems
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/10.1145/1657120.1657121openalex-snapshot
Power-aware provisioning of Cloud resources for real-time services
inferredcites →https://doi.org/10.1145/321738.321743openalex-snapshot
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
inferredcites →https://doi.org/10.1145/322123.322131openalex-snapshot
On the Optimum Checkpoint Interval
inferredcites →https://doi.org/10.1145/361147.361115openalex-snapshot
A first order approximation to the optimum checkpoint interval
inferredcites →https://doi.org/10.1145/568522.568525openalex-snapshot
A survey of rollback-recovery protocols in message-passing systems
inferredcites →https://doi.org/10.1177/0037549709340729openalex-snapshot
Fault-tolerant Gang Scheduling in Distributed Real-time Systems Utilizing Imprecise Computations
inferredcites →https://doi.org/10.5220/0006223101440151openalex-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.
inferred← citeshttps://doi.org/10.1002/cpe.4517openalex-snapshot
Cloud computing and big data: Technologies and applications
inferred← citeshttps://doi.org/10.1007/978-3-030-58811-3_67openalex-snapshot
Handling Faults in Service Oriented Computing: A Comprehensive Study
inferred← citeshttps://doi.org/10.1007/978-3-030-87049-2_1openalex-snapshot
Workload Scheduling in Fog and Cloud Environments: Emerging Concepts and Research Directions
inferred← citeshttps://doi.org/10.1007/s10586-023-04249-7openalex-snapshot
Resource allocation and aging priority-based scheduling of linear workflow applications with transient failures and selective imprecise computations
inferred← citeshttps://doi.org/10.1016/j.future.2018.11.052openalex-snapshot
Failure-aware energy-efficient VM consolidation in cloud computing 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.2019.101951openalex-snapshot
Optimum checkpoints for programs with loops
inferred← citeshttps://doi.org/10.1109/aiccsa56895.2022.10017928openalex-snapshot
Resource Allocation and Scheduling of Linear Workflow Applications with Ageing Priorities and Transient Failures
inferred← citeshttps://doi.org/10.1109/ccci49893.2020.9256505openalex-snapshot
Weighted Scheduling of Mixed Gang Jobs on Distributed Resources
inferred← citeshttps://doi.org/10.1109/ccci52664.2021.9583187openalex-snapshot
Fault-Tolerant Orchestration of Bags-of-Tasks with Application-Directed Checkpointing in a Distributed Environment
inferred← citeshttps://doi.org/10.1109/cits.2019.8862091openalex-snapshot
Scheduling Different Types of Gang Jobs in Distributed Systems
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
inferred← citeshttps://doi.org/10.1109/mascots50786.2020.9285959openalex-snapshot
Optimum Checkpoints for Time and Energy
inferred← citeshttps://doi.org/10.1109/meco49872.2020.9134125openalex-snapshot
Cloud vs Fog Computing — Scheduling Real-Time Applications
inferred← citeshttps://doi.org/10.1145/3231053.3231087openalex-snapshot
Scheduling techniques for complex workloads in distributed systems
inferred← citeshttps://doi.org/10.1145/3341325.3342023openalex-snapshot
Scheduling Single-Task Jobs along with Bag-of-Task-Chains in Distributed Systems
inferred← citeshttps://doi.org/10.3390/app11031169openalex-snapshot
Minimizing Energy and Computation in Long-Running Software
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