Malik et al., 2014 - Google Patents
Latency based group discovery algorithm for network aware cloud schedulingMalik et al., 2014
View PDF- Document ID
- 3118944467541071086
- Author
- Malik S
- Huet F
- Caromel D
- Publication year
- Publication venue
- Future Generation Computer Systems
External Links
Snippet
Cloud computing is a big paradigm shift of computing mechanism. It provides high scalability and elasticity with a range of on-demand services. We can execute a variety of distributed applications on cloud's virtual machines (computing nodes). In a distributed application …
- 238000004422 calculation algorithm 0 title abstract description 139
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
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- 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
- H04L41/12—Arrangements for maintenance or administration or management of packet switching networks network topology discovery or management
-
- 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
- G06F17/50—Computer-aided design
-
- 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
-
- 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
- H04L45/02—Topology update or discovery
-
- 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
- H04L45/04—Interdomain routing, e.g. hierarchical routing
-
- 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
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- 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
-
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kaiwartya et al. | Virtualization in wireless sensor networks: Fault tolerant embedding for internet of things | |
Houidi et al. | Virtual network provisioning across multiple substrate networks | |
Sun et al. | The cost-efficient deployment of replica servers in virtual content distribution networks for data fusion | |
Malik et al. | Latency based group discovery algorithm for network aware cloud scheduling | |
Wu et al. | QaMeC: A QoS-driven IoVs application optimizing deployment scheme in multimedia edge clouds | |
Li et al. | Resource allocation with multi-factor node ranking in data center networks | |
Tziritas et al. | On minimizing the resource consumption of cloud applications using process migrations | |
Hu et al. | Throughput optimized scheduler for dispersed computing systems | |
Behera et al. | Performance modelling and analysis of mobile grid computing systems | |
Bukhari et al. | Fog node discovery and selection: A systematic literature review | |
Aral et al. | Simulators and emulators for edge computing | |
Carrascosa et al. | Co-learning: consensus-based learning for multi-agent systems | |
Busch et al. | Sparse covers for planar graphs and graphs that exclude a fixed minor | |
Khanli et al. | FRDT: footprint resource discovery tree for grids | |
Baek et al. | Spatially cohesive service discovery and dynamic service handover for distributed IoT environments | |
Malik et al. | Latency based dynamic grouping aware cloud scheduling | |
Baskaran et al. | Algorithm and direction for analysis of global replica management in P2P network | |
Liang et al. | Embedding parallelizable virtual networks | |
Zarrin et al. | Dynamic, scalable and flexible resource discovery for large-dimension many-core systems | |
Li et al. | MABP: an optimal resource allocation approach in data center networks | |
Li et al. | Sgvcut: a vertex-cut partitioning tool for random walks-based computations over social network graphs | |
Kaepke et al. | A comparative evaluation of big data frameworks for graph processing | |
Shaikh et al. | A semantic impact in decentralized resource discovery mechanism for grid computing environments | |
Lakshmanan et al. | Placement of replicated tasks for distributed stream processing systems | |
Sarhadi et al. | New method for grid computing resource discovery with dynamic structure of peer-to-peer model based on learning automata |