Scheduling in Cloud Computing Thesis

Scheduling in Cloud Computing Thesis

  Scheduling in Cloud Computing Thesis offers dynamic paradigm for you to advance your profile to create a real-world applications in your upcoming career. Our team of professionals are coming from various part of the world and they bring vital proficiency and knowledge from top journals to complete your research work. Our top writers have 10+ years of experience in Thesis Writing since they have done immeasurable and grand research on data collection from articles, and journals for writing all primary aspects of the research. Our high experience and knowledge will not let you downstairs. We take delight and pride in guide and supporting scholars for completing research. If you wish to gain some solution in your research, you can send queries through mail. We will provide solution for your queries within a short period of time. 

Scheduling in Cloud Computing Thesis

  Scheduling in Cloud Computing Thesis afford well-defined research training and guidance for worldwide masters and PhD scholars. We provide our comprehensive support from topic choice to proof reading and editing in PhD Thesis Writing. Plagiarism removal, statistical analysis help, layout formatting, custom writing, and peer review to data collections are our additional support. We give customized solution for scholars with the wide collection of requirements under unique roof.    Scheduling in cloud computing is rising day by day and faces many challenges, one of them is task execution. Performance of cloud computing scheduling would be beneficial in other research areas like Grid computing, cluster computing, high performance computing.

Let’s have a brief overview of scheduling in cloud computing,

Scheduling Taxonomy in Cloud:

Software as a Service (Application Layer)

  • User’s QoS Scheduling
  • Provider Efficiency Scheduling
  • Negotiation Scheduling

Platform as a Service (Virtualization Layer)

  • Load Balance Scheduling
  • Energy Conservation Scheduling
  • Cost Effectiveness Scheduling

Infrastructure as a Service (Deployment Layer)

  • Service Placement Scheduling
  • Partner Federation Scheduling
  • Data Routing Scheduling

Scheduling Issues over Cloud:

  • Scheduling under Infrastructure as a Service (VM Scheduling)
  • Scheduling under Platform as a Service (Job scheduling)

Scheduling Objectives in Cloud:

  • Cost (Budget Minimization)
  • Makespan (Deadline Maximization)
  • Workload Maximization
  • Reliability Awareness
  • Security Awareness
  • Energy Consumption Minimization
  • VM Utilization Maximization
  • Waiting, and Turnaround Time Minimization
  • Resource Overhead Minimization
  • Maximize CPU Utilization
  • Minimize Queue Waiting Time
  • Reduce Operational Costs
  • Maximize Resource Utilization

Scheduling Types in Cloud:

  • Preemptive Scheduling
  • Non-Preemptive Scheduling
  • Static Scheduling
  • Dynamic Scheduling
  • On-line Scheduling
  • Off-line Scheduling
  • Optimal Scheduling
  • Heuristic Scheduling
  • Batch mode Scheduling

Frequently used Scheduling Algorithms:

  • Round Robin Scheduling Algorithm
  • Min-Max Scheduling Algorithm
  • Shortest Response Time First Algorithm
  • Genetic Algorithm
  • Ant Colony Optimization and Bee Algorithm
  • Particle Swarm Optimization Algorithm
  • SCPF and LCFPE Algorithm
  • FCFS Scheduling Algorithm
  • Shortest Remaining Time Scheduling Algorithm
  • Shortest Job First Scheduling Algorithm
  • Non-Preemptive Priority Scheduling Algorithm
  • Preemptive Priority Scheduling Algorithm
  • Weighted Round-Robin Scheduling Algorithm
  • Multilevel Feedback Queue Scheduling Algorithm
  • Thread and Priority Scheduling Algorithm
  • Highest Response Ratio Next Algorithm
  • Multilevel Queue Scheduling Algorithm
  • Multiple Processor Scheduling Algorithm
  • Cost Efficient Task Scheduling
  • Bin-Packing Algorithm
  • Min-Min Algorithm
  • Delay Scheduling Algorithm
  • Earliest Deadline First Algorithm
  • Priority based Round Robin Algorithm
  • Lottery Scheduling Algorithm
  • Rate Monotonic Scheduling Algorithm
  • Partitioning Scheduling Algorithm
  • Critical Node Parent Tree Algorithm
  • Insertion Scheduling Heuristic Algorithm
  • Hybrid Scheduling Algorithm
  • Dynamic Level Scheduling Algorithm
  • Highest Level First with Estimate Times Algorithm

Resource Scheduling Algorithms:

  • Time based Scheduling
  • Cost based Scheduling
  • Profit based Scheduling
  • Energy based Scheduling
  • Priority based Scheduling
  • VM based Scheduling
  • QoS and SLA based Scheduling
  • Nature/Bio inspired based Scheduling
  • Hybrid based Scheduling
  • Adaptive and Dynamic based Scheduling
  • Compromised Cost Time based Scheduling

Scheduling Performance Metrics:

  • Deadline
  • Guarantee Ratio
  • VMs Utilization
  • Throughput
  • Makespan
  • Task Slack
  • Entropy of Schedule
  • Execution time
  • Completion time
  • Expectation of Makespan
  • Energy Consumption
  • Performance
  • Quality of Service
  • Fault Tolerance
  • Resource Utilization
  • Reliability
  • Time Quantum
  • Arrival time
  • Network Bandwidth

Most Popular Topics on Scheduling in Cloud Computing Thesis:

  • Deep Reinforcement Learning Based Paradigm in Cloud RANs for Power Efficient Resource Allocation
  • An Effectual Sensor Cloud Interactive Methodology for On-Demand Latency Requirement Guarantee
  • Schedule CUDA Accelerated Task in Vehicular Cloud Computing with Opportunistically Available Vehicle to Infrastructure
  • A Method in Distributed Videoconferencing Paradigms for Evaluating and Designing Cloud Computing Approaches
  • Scheduling Resource and Analyze Delay in Wireless Small Cloud for Workflow
  • Semi-Markov Decision Process Based Resource Allocation for DVC (Dynamic Vehicular Clouds)
  • Options Based Sequential Auctions to Allocate Dynamic Cloud Resource
  • Optimal Priority Queuing for Cloud Computing Based EV Charging and Discharging Service
  • Allocate Resource and Schedule Task for Delay Bounded Mobile Edge Computing in Heterogeneous Cloud
  • Demand Side Management in Cyber Physical Smart Distribution System Considering Reward Based and Price Based Scheduling Program
  • Streaming Scheduling and Cost Aware Caching for Television Based on Efficient Cloud
  • Micro-Service Multi-Objective Scheduling for Optimal Service Function Chains
  • Lecture Schedules Based Campus Power Management Paradigm for Conceptual System
  • Dynamic Cloud Hosts Assignment in Cloud Radio Access Networks to Achieve Cost Effectiveness
  • Efficient Approximation Algorithms for Problem of Bounded Flexible Scheduling in Cloud