• No results found

[PDF] Top 20 Holistic energy and failure aware workload scheduling in Cloud datacenters

Has 10000 "Holistic energy and failure aware workload scheduling in Cloud datacenters" found on our website. Below are the top 20 most common "Holistic energy and failure aware workload scheduling in Cloud datacenters".

Holistic energy and failure aware workload scheduling in Cloud datacenters

Holistic energy and failure aware workload scheduling in Cloud datacenters

... above scheduling policies do not consider system failures. However, failure occurrences in these computing systems can induce substantial negative impact on system performance, deviating the system from our ... See full document

17

Holistic virtual machine scheduling in cloud datacenters towards minimizing total energy

Holistic virtual machine scheduling in cloud datacenters towards minimizing total energy

... 7, SLA violation rate is affected by the migration interval and migration threshold, which are defined as 300 seconds and 20%, respectively, as described above. The comparison of SLA violation rate between each algorithm ... See full document

14

Characterization and Comparison of Cloud Energy Efficient Scheduling Algorithms

Characterization and Comparison of Cloud Energy Efficient Scheduling Algorithms

... a holistic heterogeneity-aware cloud workload placement and migration approach, sCloud, which aims to maximize the system goodput in distributed self-sustainable ...heterogeneity-aware ... See full document

7

An Energy-Aware Workload Dispatching Simulator for Heterogeneous Clusters

An Energy-Aware Workload Dispatching Simulator for Heterogeneous Clusters

... power aware server provisioning may not always be effective or sufficient with modern servers because of the cooling- computing power ...the workload on fewer servers tends to decrease the computing power ... See full document

6

Energy Prediction for Cloud Workload Patterns

Energy Prediction for Cloud Workload Patterns

... of energy consumption in Cloud infrastructures has become one of the major cost factors for Cloud providers to ...the energy efficiency of Cloud resources, proactive and reactive man- ... See full document

16

Hybrid Starling Social Spider Algorithm for Energy and Load Aware Task Scheduling in Cloud Computing

Hybrid Starling Social Spider Algorithm for Energy and Load Aware Task Scheduling in Cloud Computing

... while scheduling the tasks to cloud ...and energy of each resource needs to be realized and decisions can be taken to assign a task to the best VM so that the overall makespan, degree of imbalance ... See full document

8

Energy-aware Occupancy Scheduling

Energy-aware Occupancy Scheduling

... I like to thank all current and past students/co-researchers in Data61/CSIRO, formerly NICTA, particularly those that I have had the pleasure of spending my time with: Paul Scott, Terrence Mak, Buyu Liu, Jing Cui, Ksenia ... See full document

189

Hybrid Approach for Resource Scheduling in Green Clouds

Hybrid Approach for Resource Scheduling in Green Clouds

... This Cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment ...are Cloud Software as a Service (SaaS), Cloud Platform as a ... See full document

5

An Energy-Aware Multi-Core Scheduler based on Generalized Tit-For-Tat Cooperative Game

An Energy-Aware Multi-Core Scheduler based on Generalized Tit-For-Tat Cooperative Game

... theoretic energy-aware scheduling algorithm for multi- core systems is proposed in this paper, namely, GTFTES (Generalized Tit-For-Tat Energy-aware ... See full document

10

ISSN: 2321-8363 UGC Approved Journal Impact Factor: 5.515

ISSN: 2321-8363 UGC Approved Journal Impact Factor: 5.515

... for Cloud service providers, the authors in [7] proposed a fast and energy aware resource provisioning and task scheduling algorithm, they claimed that it effectively reduce the complexity and ... See full document

6

Reducing Energy Consumption in Mobile Cloud Computing using Energy Aware Mobile Applications and Scheduling Strategies

Reducing Energy Consumption in Mobile Cloud Computing using Energy Aware Mobile Applications and Scheduling Strategies

... since cloud computing provides an approach for leveraging computing resources with same ease as utilizing common utilities such as natural gas, water , electricity supply on pay per use bases through the concept ... See full document

8

An Efficient Energy Consumption Minimizing Based on Genetic and Power Aware Scheduling in Cloud Computing

An Efficient Energy Consumption Minimizing Based on Genetic and Power Aware Scheduling in Cloud Computing

... Servers are one of the most power-hungry elements in data centers, with CPU and memory as their main power consumers. The average power consumption of CPU and memory is reported to be 33% and 23% of the server’s total ... See full document

5

Power Aware Task Scheduling in Compute Cloud

Power Aware Task Scheduling in Compute Cloud

... Cloud computing is in [1] an emerging technology enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources, for instance, networks, servers, storage, ... See full document

7

Locust inspired scheduling algorithm to reduce energy consumption with dead line resource provisioning

Locust inspired scheduling algorithm to reduce energy consumption with dead line resource provisioning

... of cloud computing and is intended to serve as a means for broad comparisons of cloud services and deployment strategies, and to provide a baseline for discussion from what is cloud computing to how ... See full document

8

Energy Aware Mobile Application Consolidation(EMAC) Protocol For Resource Scheduling in Cloud Environment

Energy Aware Mobile Application Consolidation(EMAC) Protocol For Resource Scheduling in Cloud Environment

... in energy effective processing and propose: (a) compositional standards for energy proficient administration of Clouds; (b) energy productive resource portion strategies and booking calculations ... See full document

8

A REVIEW ON ENERGY AWARE RESOURCE MANAGEMENT THROUGH DECENTRALIZED AND BALANCED WORKLOAD IN CLOUD COMPUTING

A REVIEW ON ENERGY AWARE RESOURCE MANAGEMENT THROUGH DECENTRALIZED AND BALANCED WORKLOAD IN CLOUD COMPUTING

... scalable cloud physical computing infrastructure consumes huge amounts of electrical power and emits heats, which increases operational costs and carbon footprints to the ...implement energy conserving ... See full document

8

Thermal aware workload scheduling with backfilling for green data centers

Thermal aware workload scheduling with backfilling for green data centers

... FutureGrid Partners • Indiana University • Purdue University • San Diego Supercomputer Center at University of California San Diego • University of Chicago/Argonne National Labs • Univer[r] ... See full document

27

Energy efficient temporal load aware resource allocation in cloud computing datacenters

Energy efficient temporal load aware resource allocation in cloud computing datacenters

... increases the network cost. The work proposes an algo- rithm minimizing the network-cost with fixed PM-cost. The proposed algorithm doesnot consider resource con- straints of the servers, network topology and bandwidth ... See full document

24

A proposed energy and performance aware cloud framework for improving service level agreements (SLAs) in cloud datacenters

A proposed energy and performance aware cloud framework for improving service level agreements (SLAs) in cloud datacenters

... green cloud-computing framework is proposed in this paper meeting the requirements of SLAs to cloud ...reduced energy consumption, efficient VMs allocation, and ...between cloud ... See full document

6

Energy Aware Job Scheduling in Cloud for EFFD

Energy Aware Job Scheduling in Cloud for EFFD

... ABSTRACT: Cloud computing infrastructures are designed to support the accessibility and deployment of various services oriented applications by the ...users. Cloud computing services are made available ... See full document

5

Show all 10000 documents...