Chunlin et al., 2018 - Google Patents
Cloud-based mobile service provisioning for system performance optimisationChunlin et al., 2018
- Document ID
- 12959295872673131149
- Author
- Chunlin L
- Jing Z
- Youlong L
- Publication year
- Publication venue
- International Journal of Ad Hoc and Ubiquitous Computing
External Links
Snippet
Currently, the mobile applications require intensive computational resources, particularly CPUs, RAMs, storage and battery to successfully complete the expected computing operation. Although distant clouds feature high availability and elastic scalability, and …
- 238000003860 storage 0 abstract description 88
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
- G06F9/5072—Grid computing
-
- 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
- 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
- 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
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
- H04L67/16—Service discovery or service management, e.g. service location protocol [SLP] or Web services
-
- 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
- H04L67/02—Network-specific arrangements or communication protocols supporting networked applications involving the use of web-based technology, e.g. hyper text transfer protocol [HTTP]
-
- 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
- H04L67/28—Network-specific arrangements or communication protocols supporting networked applications for the provision of proxy services, e.g. intermediate processing or storage in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L29/00—Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/00 - H04L27/00 contains provisionally no documents
- H04L29/02—Communication control; Communication processing contains provisionally no documents
- H04L29/06—Communication control; Communication processing contains provisionally no documents characterised by a protocol
- H04L29/08—Transmission control procedure, e.g. data link level control procedure
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | Traffic and computation co-offloading with reinforcement learning in fog computing for industrial applications | |
| Chen et al. | Reinforcement learning–based QoS/QoE‐aware service function chaining in software‐driven 5G slices | |
| Fang et al. | A stochastic control approach to maximize profit on service provisioning for mobile cloudlet platforms | |
| Do et al. | A proximal algorithm for joint resource allocation and minimizing carbon footprint in geo-distributed fog computing | |
| Tärneberg et al. | Dynamic application placement in the mobile cloud network | |
| Terefe et al. | Energy-efficient multisite offloading policy using Markov decision process for mobile cloud computing | |
| Wang et al. | A resource allocation model based on double-sided combinational auctions for transparent computing | |
| Chen et al. | Budget-constrained edge service provisioning with demand estimation via bandit learning | |
| Yang et al. | Perllm: Personalized inference scheduling with edge-cloud collaboration for diverse llm services | |
| Wei et al. | Application scheduling in mobile cloud computing with load balancing | |
| Yuan et al. | A game theory-based dynamic resource allocation strategy in geo-distributed datacenter clouds | |
| Nir et al. | Economic and energy considerations for resource augmentation in mobile cloud computing | |
| Li et al. | Method of resource estimation based on QoS in edge computing | |
| Chatzopoulos et al. | Have you asked your neighbors? A hidden market approach for device-to-device offloading | |
| Wang et al. | An energy saving based on task migration for mobile edge computing | |
| Chunlin et al. | Distributed QoS-aware scheduling optimization for resource-intensive mobile application in hybrid cloud | |
| Tiwary et al. | CPS: a dynamic and distributed pricing policy in cyber foraging systems for fixed state cloudlets | |
| Huang et al. | Computation offloading for multimedia workflows with deadline constraints in cloudlet-based mobile cloud | |
| Durga et al. | Context-aware adaptive resource provisioning for mobile clients in intra-cloud environment | |
| Li et al. | Efficient service selection approach for mobile devices in mobile cloud | |
| Guler et al. | Task allocation in volunteer computing networks under monetary budget constraints | |
| Chunlin et al. | Cloud-based mobile service provisioning for system performance optimisation | |
| Krishna Priya et al. | Crossover-based improved sine cosine algorithm for multimedia content distribution in cloud environment | |
| Chunlin et al. | Energy‐aware cross‐layer resource allocation in mobile cloud | |
| Zhang et al. | Deploying GIS services into the edge: A study from performance evaluation and optimization viewpoint |