Nothing Special   »   [go: up one dir, main page]

Ahmed et al., 2017 - Google Patents

Mobile cloud computing energy-aware task offloading (MCC: ETO)

Ahmed et al., 2017

View PDF
Document ID
9732469805927708297
Author
Ahmed A
Hanan A
Omprakash K
Usman M
Syed O
Publication year
Publication venue
Proceedings of the communication and computing systems: Proceedings of the international conference on communication and computing systems (ICCCS 2016)

External Links

Continue reading at www.researchgate.net (PDF) (other versions)

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]
    • G06F9/5005—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
    • 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
    • G06F9/48—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]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power Management, i.e. event-based initiation of power-saving mode
    • G06F1/3206—Monitoring a parameter, a device or an event triggering a change in power modality
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • 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

Similar Documents

Publication Publication Date Title
Xiao et al. QoE and power efficiency tradeoff for fog computing networks with fog node cooperation
Zhou et al. An online algorithm for task offloading in heterogeneous mobile clouds
Toczé et al. A taxonomy for management and optimization of multiple resources in edge computing
Varghese et al. Challenges and opportunities in edge computing
CN107196869B (en) The adaptive load balancing method, apparatus and system of Intrusion Detection based on host actual loading
Xia et al. Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing
Rahimi et al. Mobile cloud computing: A survey, state of art and future directions
Sheng et al. Energy efficient cooperative computing in mobile wireless sensor networks
Aliyu et al. Mobile cloud computing: taxonomy and challenges
Ahmed et al. Network-centric performance analysis of runtime application migration in mobile cloud computing
Drolia et al. The case for mobile edge-clouds
Bhardwaj et al. Cloud-WBAN: an experimental framework for cloud-enabled wireless body area network with efficient virtual resource utilization
Lo'Ai et al. Cloudlet-based mobile cloud computing for healthcare applications
Francis A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing.
Mtibaa et al. Towards mobile opportunistic computing
Nir et al. An energy optimizing scheduler for mobile cloud computing environments
Ahmed et al. Mobile cloud computing energy-aware task offloading (MCC: ETO)
Jayasena et al. Optimized task scheduling on fog computing environment using meta heuristic algorithms
Zhou et al. Optimal mobile device selection for mobile cloud service providing
Bohez et al. Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets
Ahnn et al. mhealthmon: Toward energy-efficient and distributed mobile health monitoring using parallel offloading
Alkhalaileh et al. Dynamic resource allocation in hybrid mobile cloud computing for data-intensive applications
El-Barbary et al. A cloudlet architecture using mobile devices
Zamani et al. Edge-supported approximate analysis for long running computations
Chunlin et al. Distributed QoS-aware scheduling optimization for resource-intensive mobile application in hybrid cloud