Faticanti et al., 2020 - Google Patents
Deployment of application microservices in multi-domain federated fog environmentsFaticanti et al., 2020
View PDF- Document ID
- 4992280369934618112
- Author
- Faticanti F
- Savi M
- De Pellegrini F
- Kochovski P
- Stankovski V
- Siracusa D
- Publication year
- Publication venue
- 2020 international conference on omni-layer intelligent systems (COINS)
External Links
Snippet
In this paper we consider the problem of initial resource selection for a single-domain fog provider lacking sufficient resources for the complete deployment of a batch of IoT applications. To overcome resources shortage, it is possible to lease assets from other …
- 238000000034 method 0 description 6
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
- G06F9/50—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
- 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]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/50—Network service management, i.e. ensuring proper service fulfillment according to an agreement or contract between two parties, e.g. between an IT-provider and a customer
- H04L41/5041—Service implementation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/08—Configuration management of network or network elements
- H04L41/0803—Configuration setting of network or network elements
-
- 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
- H04L67/1002—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers, e.g. load balancing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic regulation in packet switching networks
- H04L47/70—Admission control or resource allocation
- H04L47/82—Miscellaneous aspects
-
- 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
- H04L67/32—Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/10—Network architectures or network communication protocols for network security for controlling access to network resources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic regulation in packet switching networks
- H04L47/10—Flow control or congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/54—Store-and-forward switching systems
- H04L12/56—Packet switching systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
-
- 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
- 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
- H04W—WIRELESS COMMUNICATIONS NETWORKS
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hassan et al. | Priority, network and energy‐aware placement of IoT‐based application services in fog‐cloud environments | |
| US20220303196A1 (en) | System and method to support network slicing in an mec system providing automatic conflict resolution arising from multiple tenancy in the mec environment | |
| Faticanti et al. | Throughput-aware partitioning and placement of applications in fog computing | |
| Kuo et al. | Deploying chains of virtual network functions: On the relation between link and server usage | |
| Papagianni et al. | A cloud-oriented content delivery network paradigm: Modeling and assessment | |
| Faticanti et al. | Deployment of application microservices in multi-domain federated fog environments | |
| US11159391B2 (en) | Instantiation of a telco blockchain in a NFV environment | |
| Sallam et al. | Shortest path and maximum flow problems under service function chaining constraints | |
| Leivadeas et al. | Efficient resource mapping framework over networked clouds via iterated local search-based request partitioning | |
| US11570043B2 (en) | Method and apparatus for mapping network slices onto network infrastructures with SLA guarantee | |
| Zhang et al. | An opportunistic resource sharing and topology-aware mapping framework for virtual networks | |
| KR101369026B1 (en) | Method and system for sharing performance data between different information technology product/solution deployments | |
| Babou et al. | Hierarchical load balancing and clustering technique for home edge computing | |
| Dräxler et al. | Jasper: Joint optimization of scaling, placement, and routing of virtual network services | |
| Al-Tarawneh | Bi-objective optimization of application placement in fog computing environments | |
| Farshin et al. | A modified knowledge-based ant colony algorithm for virtual machine placement and simultaneous routing of NFV in distributed cloud architecture: A. Farshin, S. Sharifian | |
| US20140149493A1 (en) | Method for joint service placement and service routing in a distributed cloud | |
| Wang et al. | Optimizing network slice dimensioning via resource pricing | |
| Maia et al. | A multi-objective service placement and load distribution in edge computing | |
| Antevski et al. | Resource orchestration of 5G transport networks for vertical industries | |
| Poularakis et al. | Approximation algorithms for data-intensive service chain embedding | |
| Riggio et al. | Progressive virtual topology embedding in OpenFlow networks | |
| Shang et al. | Network congestion-aware online service function chain placement and load balancing | |
| Nguyen et al. | Toward adaptive joint node and link mapping algorithms for embedding virtual networks: A conciliation strategy | |
| Garg et al. | Heuristic and reinforcement learning algorithms for dynamic service placement on mobile edge cloud |