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Parallel Computing in Cloud Environments
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Microservices Architecture
Enables scalable and parallel cloud-native application development
Load Balancing
Essential for distributing workloads across parallel computing resources
High-Performance Computing (HPC) in the Cloud
Cloud platforms provide resources necessary for HPC workloads
Distributed Computing
Involves running parallel computations over a distributed system
Utility Computing
Provides a pay-as-you-go model for parallel processing resources
Infrastructure as a Service (IaaS)
Serves as the foundation for developing and executing parallel applications
Data Locality
Optimizes resource utilization by moving computation closer to data
MapReduce
Programming model suitable for parallel processing in cloud environments
Containers
Supports encapsulation of parallel tasks for cloud deployment
Elasticity
Allows systems to adapt to workload changes with minimal delay
Software as a Service (SaaS)
Delivers parallel computing applications as a service
Green Computing
Cloud computing optimizes energy usage for parallel computing processes
Multi-Tenancy
Enables resource sharing among multiple parallel computing tasks
Cloud Storage
Facilitates data access and management for parallel computing
Serverless Computing
Abstracts server management for parallel processing tasks
Cloud Service Brokers
Mediate between consumers and providers to optimize parallel computing
Platform as a Service (PaaS)
Offers a development platform for parallel computing applications
Virtualization
Provides the infrastructure for running parallel computing tasks
Scalability
Enables dynamic allocation of resources for parallel tasks
Fault Tolerance
Cloud systems design to handle failures affecting parallel computation
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