Tsakanikas et al., 2023 - Google Patents
An intelligent model for supporting edge migration for virtual function chains in next generation internet of thingsTsakanikas et al., 2023
View HTML- Document ID
- 9015516543507645279
- Author
- Tsakanikas V
- Dagiuklas T
- Iqbal M
- Wang X
- Mumtaz S
- Publication year
- Publication venue
- Scientific reports
External Links
Snippet
The developments on next generation IoT sensing devices, with the advances on their low power computational capabilities and high speed networking has led to the introduction of the edge computing paradigm. Within an edge cloud environment, services may generate …
- 230000005012 migration 0 title abstract description 12
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
- G06F9/4856—Task life-cycle, e.g. stopping, restarting, resuming execution resumption being on a different machine, e.g. task migration, virtual machine migration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
- G06F15/163—Interprocessor communication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F12/00—Accessing, addressing or allocating within memory systems or architectures
- G06F12/02—Addressing or allocation; Relocation
- G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
- G06F12/0802—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches
- G06F12/0806—Multiuser, multiprocessor or multiprocessing cache systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
- H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Naha et al. | Deadline-based dynamic resource allocation and provisioning algorithms in fog-cloud environment | |
Ferrer et al. | Towards the decentralised cloud: Survey on approaches and challenges for mobile, ad hoc, and edge computing | |
US9235801B2 (en) | Managing computer server capacity | |
US7680908B2 (en) | State replication | |
US7716280B2 (en) | State reflection | |
Tsakanikas et al. | An intelligent model for supporting edge migration for virtual function chains in next generation internet of things | |
Khare et al. | Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs | |
Alaasam et al. | Analytic study of containerizing stateful stream processing as microservice to support digital twins in fog computing | |
Torres et al. | An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum | |
Alarifi et al. | A fault-tolerant aware scheduling method for fog-cloud environments | |
Ghorbian et al. | A survey on the cold start latency approaches in serverless computing: an optimization-based perspective | |
Noor et al. | Iotdoc: A docker-container based architecture of iot-enabled cloud system | |
Surendran et al. | How to improve the resource utilization in cloud data center? | |
Wen et al. | Fog orchestration for IoT services: issues, challenges and directions | |
Aslani et al. | Machine learning inference serving models in serverless computing: a survey | |
Iyapparaja et al. | FogQSYM: An industry 4.0 analytical model for fog applications | |
Qaffas et al. | Adaptive population-based multi-objective optimization in SDN controllers for cost optimization | |
Shen et al. | Performance prediction of parallel computing models to analyze cloud-based big data applications | |
Alyas et al. | Performance Framework for Virtual Machine Migration in Cloud Computing. | |
Banaie et al. | Complementing IIoT services through AI: feasibility and suitability | |
Mushtaq et al. | In-depth analysis of fault tolerant approaches integrated with load balancing and task scheduling | |
Ye et al. | EdgeStreaming: Secure computation intelligence in distributed edge networks for streaming analytics | |
Feitosa et al. | A comprehensive performance evaluation of container migration strategies | |
Benedict | Performance issues and monitoring mechanisms for serverless IoT applications—an exploratory study | |
Choudhury et al. | An energy efficient fog level resource management scheme for software defined cities |