TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| A | |
| accelerator | |
| Accelerator architectures | |
| access pattern | |
| acyclic partitioning | |
| Additive Homomorphic scheme | |
| admission control | |
| agent-based modeling | |
| Allocation | |
| Alluxio | |
| Amazon EC2 C4 | |
| analytics-as-a-service | |
| Anomaly Detection | |
| anonymization | |
| Apache Flink | |
| Apache Spark | |
| APHiD | |
| Application Composition Mode | |
| Application-aware detection | |
| approximate-computing network | |
| asynchronous communications | |
| Auto-scaling | |
| B | |
| Backfilling | |
| backprojection | |
| bandwidth tapering | |
| Bayes Probability Model | |
| benchmarking | |
| Bid price estimation | |
| Big Data | |
| Big Data Analytics | |
| big data computing | |
| block mining | |
| block withholding | |
| blockchain | |
| buffer pool | |
| C | |
| C5 | |
| cache replacement algorithm | |
| cache update | |
| Capacity Allocation | |
| capacity planning | |
| CAPE | |
| CBase | |
| Certification | |
| Charm++ | |
| Checkpointing-Aide Parallel Execution | |
| climate impact indicator | |
| Cloud | |
| Cloud Bursting | |
| Cloud Compliance | |
| cloud computing | |
| Cloud computing paradigm | |
| Cloud Data Outsourcing | |
| cloud deployment | |
| Cloud Security | |
| Cloud service selection | |
| cloud services | |
| Cloud storage | |
| Cloud Troubleshooting | |
| Cloud Workbench | |
| cloud-based computation | |
| cloud-based data analytics platform | |
| cloudlet number minimization | |
| Cloudlet placement | |
| Cluster | |
| cluster toolkits | |
| Coarray | |
| Collective I/O | |
| CoMD | |
| communication engine | |
| communication middleware | |
| communication software | |
| community micro-clouds | |
| Computer Vision | |
| Container | |
| Container technologies | |
| container virtualization | |
| containers | |
| Controller | |
| Convolutional Neural Networks | |
| Cost Analysis | |
| Cost Effective Execution | |
| Cost Model | |
| CPS | |
| CPU-GPU | |
| CT | |
| Cuckoo Filter | |
| CUDA | |
| Cyber-Physical Systems | |
| D | |
| DAGs | |
| Data analysis | |
| Data analytics | |
| data center | |
| Data deduplication | |
| data distribution | |
| Data integrity | |
| Data Locality | |
| data management | |
| Data mining | |
| data partitioning | |
| Data Privacy | |
| data protection | |
| data provenance | |
| data replication | |
| data simulation | |
| Data stream analysis | |
| Data-driven approaches for energy-aware Cloud forecasting | |
| data-intensive computing | |
| DBaaS | |
| DDDAS | |
| De Bruijn Graph | |
| decision tree search | |
| DeepLearning | |
| Descriptive statistics | |
| Design of experiments | |
| Differential Evolution | |
| directed graph | |
| Distribute scheduling | |
| Distributed Computing | |
| Distributed Computing Infrastructures | |
| distributed energy monitoring | |
| Distributed File System | |
| Distributed Graph Processing | |
| distributed ledger service | |
| distributed processing | |
| distributed sequence alignment | |
| distributed systems | |
| Docker | |
| double caching | |
| Dragonfly Networks | |
| Dynamic Access Control Infrastructure (DACI) | |
| dynamic control | |
| E | |
| Ebola virus | |
| ECGRA | |
| Edge Clouds | |
| Edge Computing | |
| edge-centric | |
| elasticity | |
| EMD | |
| Energy | |
| Energy awareness | |
| Energy Budget | |
| Energy Efficiency | |
| Energy-aware task assignment | |
| Energy-efficient | |
| epidemiology | |
| Erasure coding | |
| event correlation | |
| exascale | |
| Execution time | |
| Experiments | |
| F | |
| Facilitate power management | |
| Fail-stop errors and Silent Data Corruptions | |
| fat-tree topology | |
| Fault tolerance | |
| Fault-tolerance | |
| Federated cloud | |
| FedRAMP | |
| File System Design | |
| File transfer | |
| flexible | |
| flow-stat triggering | |
| Fog Computing | |
| Formal modeling | |
| Framework | |
| Functional Consistency | |
| Fuzzy Logic | |
| G | |
| Game theory | |
| GAMESS | |
| Generalized Nash Equilibrium Problem | |
| genome analysis | |
| genome assembly | |
| genomics | |
| Gini coefficient | |
| Global resource view | |
| GPU | |
| GPUDirect Async | |
| graph analytics | |
| graph processing | |
| Graphic Processing Unit | |
| Green | |
| guaranteed performance | |
| H | |
| Hadoop | |
| Handling error in user-estimated job execution times | |
| HBase | |
| HDFS | |
| heterogeneous infrastructure | |
| heterogeneous multi-core | |
| heterogeneous storage | |
| heuristic algorithms | |
| High Performance Computing | |
| High Performance Computing Systems | |
| high-performance computing | |
| High-performance file systems | |
| High-performance interconnects | |
| hip | |
| HPC | |
| HPC applications | |
| HPC Log Analysis | |
| HPC Systems | |
| human braing modeling | |
| Hybrid Cloud | |
| Hybrid storage | |
| I | |
| I/O and Data Management | |
| I/O scheduler | |
| I/O Severity | |
| I/O system | |
| IaaS | |
| Image similarity | |
| In-memory Computing | |
| in-memory storage | |
| In-Situ Analytics | |
| independent tasks | |
| InfiniBand | |
| integrating | |
| Intel Xeon Phi | |
| Intercloud Federations Framework (ICFF) | |
| Intercloud Security Framework (ICSF) | |
| interconnection networks | |
| Internet of Things | |
| Intrusion detection systems | |
| IoT | |
| ISO | |
| J | |
| Job Scheduling | |
| K | |
| K-means Clustering | |
| key-value store | |
| Key-value stores | |
| Knights Landing | |
| KPI-agnostic controller | |
| KVM | |
| L | |
| Large Flow | |
| Layered Hidden Markov Model | |
| learning power models | |
| Live VM migration | |
| load measurements | |
| LogGP | |
| Loosely-Coupled Components | |
| LTTng | |
| M | |
| Machine learning | |
| Many Integrated Core (MIC) | |
| MapReduce | |
| MapReduce with SLAs | |
| Markov Decision Processes | |
| Markov models | |
| Massive Data load | |
| Matlab | |
| MCTS | |
| media bit rate | |
| Memcached | |
| memory deduplication | |
| Mesos | |
| microservices architecture | |
| Microsoft Azure | |
| migration | |
| Millicluster | |
| MIMO Controller | |
| Ming Correlation of Failures | |
| Mobile Applications | |
| Mobile Cloud Computing | |
| mobility | |
| Model | |
| Modeling | |
| molecular docking | |
| moving target defense | |
| MPC controller | |
| MPI | |
| MPI collectives | |
| MPI I/O | |
| Multi-agent system | |
| multi-armed bandit | |
| Multi-clouds | |
| multi-cluster | |
| Multi-Core and Many-Core Nodes | |
| Multi-core computing | |
| Multi-cores | |
| multi-objective optimization | |
| Multi-tenancy | |
| multilevel partitioning | |
| N | |
| n-gram | |
| Naive Bayes | |
| Nash equilibrium | |
| Nested Virtualization | |
| network scalability | |
| network services | |
| Network topologies | |
| neurocomputing | |
| NewSQL | |
| Next Generation Sequencing | |
| NLP | |
| non-preemptive | |
| NoSQL | |
| NUMA | |
| NVMe SSD | |
| O | |
| object-based storage | |
| on-line scheduling | |
| One-sided communication | |
| OpenACC | |
| OpenMP | |
| OpenSHMEM | |
| OpenStack | |
| Optimal control | |
| optimization | |
| Orchestration | |
| Order-preserving homomorphic scheme | |
| OTF2 | |
| OTFX | |
| overlay network | |
| P | |
| page cache | |
| parallel computing | |
| parallel discrete-event simulation | |
| parallel file system | |
| Parallel I/O | |
| Parallel Metaheuristics | |
| Parallel programming | |
| parallel simulation | |
| Parallel Systems | |
| parallelization | |
| Pareto optimal set | |
| Partial replication | |
| Partitioning | |
| peer-to-peer | |
| Performance | |
| Performance Analysis | |
| performance evaluation | |
| performance modeling | |
| Performance Modeling and Evaluation | |
| Performance Modelling and Prediction | |
| performance models | |
| performance of complex services | |
| Performance optimization | |
| Performance prediction | |
| Performance Simulation in HPC | |
| performance-cost index | |
| Performanceevaluation | |
| PGAS | |
| pipeline | |
| placement | |
| pool mining | |
| Power | |
| power cost | |
| power estimation | |
| Power Limiting | |
| power meter | |
| power modeling | |
| power monitoring | |
| power-law | |
| Preemptive scheduling | |
| privacy | |
| probabilistic verification | |
| process mining | |
| Process State | |
| procurement cost | |
| programmable cloud federation | |
| programmable infrastructure | |
| programmable service composition | |
| proof-of-work | |
| ptrace | |
| Python | |
| Q | |
| Q-Learning | |
| QoS | |
| Queue Configurations | |
| R | |
| RAMCloud | |
| Random forest | |
| Rank remapping | |
| rCUDA | |
| RDMA | |
| reactivation | |
| Recommendation systems | |
| reconfigurable | |
| Reconfiguration | |
| redirections | |
| reliability | |
| Renewable energy | |
| Reproducibility | |
| Reproducible Research | |
| Resilience | |
| resilient distributed dataset | |
| resource allocation | |
| Resource allocation and scheduling | |
| Resource configuration | |
| Resource efficiency | |
| Resource Management | |
| Resource Prediction | |
| Resource Scaling | |
| Resource Virtualization and Provisioning | |
| Response time or throughput control | |
| Robust Optimization | |
| Robust queues | |
| RPU | |
| rtp/rtcp | |
| S | |
| Sample-based scheduling | |
| Sampling | |
| Scalability | |
| Scalable | |
| scaling | |
| Scheduling | |
| scheduling algorithms | |
| scheduling with background load | |
| science gateways | |
| scientific computing | |
| scientific workflows | |
| SDN | |
| seccomp | |
| secure computing | |
| Secure storage | |
| security | |
| Security properties | |
| selective | |
| Selective replication | |
| Semantic Gap | |
| Server consolidation | |
| service computing | |
| service placement | |
| service power consumption | |
| setup delay | |
| SFC | |
| Shared Responsibility Mode | |
| Shared-memory | |
| SIMD instruction | |
| Similarity-based Data Mining | |
| simulation | |
| sliding-window aggregations | |
| small-world networks | |
| SOC | |
| softlayer | |
| Software Component Model | |
| software configuration | |
| software-defined environments | |
| software-defined federation | |
| Software-Defined Networks | |
| software-defined service composition | |
| Spark | |
| Split table | |
| Spot market | |
| SSD | |
| Standard | |
| storage | |
| stream allocation | |
| Stream Processing | |
| streaming analytics | |
| stretch | |
| Sub-optimal decision | |
| Supercomputer batch queues | |
| Supercomputers | |
| Swift | |
| synchronization | |
| System Architecture | |
| System Call Monitoring | |
| System performance | |
| T | |
| T-VMI | |
| Tabu Search | |
| tapered topologies | |
| Task placement | |
| Task scheduling | |
| Task-Based | |
| telecom billing system | |
| TensorFlow | |
| testing | |
| Thiel Index | |
| threads | |
| Three-layer image structure | |
| Tianhe-2 | |
| Time | |
| Tools | |
| TraceCompass | |
| Traces | |
| Transactional memory systems | |
| transient failures | |
| Transparency | |
| trust attributes | |
| Trusted Bootstrapping Protocol | |
| TrustZone | |
| U | |
| UCX | |
| V | |
| variable selection | |
| VCF | |
| vertex-centric | |
| Vertical auto-scaling | |
| victim cache | |
| Virtual Infrastructures | |
| Virtual Machine Migration | |
| virtual machine placement | |
| Virtualization | |
| Virtualized datacenters | |
| Visibility | |
| VM allocation | |
| VM consolidation | |
| VM Migration | |
| VM storage migration | |
| VNF placement and chaining | |
| W | |
| wake-up | |
| weak-scaling | |
| webrtc | |
| work-driven | |
| Workflow | |
| X | |
| XACML | |
| Y | |
| Yarn | |