Dynamic Virtual Machine migration algorithms using enhanced energy consumption model for green cloud data centers

Abstract

Cloud data centers consume an enormous amount of energy. Virtual Machine (VM) migration technology can be applied to reduce energy consumption by consolidating VMs onto the minimal number of servers and turn idle servers into powersaving modes. While most existing energy models consider mainly computing energy, an enhanced energy consumption model is formulated, which includes energy consumption for computation, for servers to switch from standby to active modes, and for communication during VM migrations. Next, two new dynamic VM migration algorithms are proposed. They apply a local regression method to predict potentially over-utilized servers, and the 0-1 knapsack dynamic programming to find the best-fit combination of VMs for migration. The time complexity of these algorithms is analyzed, which indicates that they are highly scalable. Performance is evaluated and compared with existing algorithms. The two new heuristics have significantly reduced the number of VM migration, the number of rebooted servers, and energy consumption. Furthermore, one of them has achieved the least overall SLA violations. We believe that the new energy formulation and the two new heuristics contribute significantly towards achieving green cloud computing.

Green Cloud Computing: A Literature Survey

“…For cloud users, replacing high-powered computers with low-powered devices will improve energy efficiency. Methods for reducing energy consumption might be simple techniques such as ensuring energy management for servers in the cloud, such as turning them on and off or putting them to sleep [68,79], or more complex techniques such as auto-scaling infrastructure to create greener computing environments [81] or the use of virtualization techniques for better resource management [29,40,43,45,61,78]. Green cloud computing development is influenced by green data center development.…”

Green Cloud Computing: Efficient Energy-Aware and Dynamic Resources Management in Data Centers

“…According to many previous studies [20], [21], the green cloud computing gathers the efficient management of cloud resources and reducing energy consumption while assuring the quality of service requirements in the service level agreements SLA.…”

Workload Consolidation using VM Selection and Placement Techniques in Cloud Computing

“…Dynamic VM migration and consolidation approaches to reduce both energy consumption and SLA violations [8]. So we formulating a energy consumption model by combining energy usage for computation, for servers switching from active modes, and for communication during VM migrations.…”

“…One of the important requirements is to provide reliable QOS. It can be defined in terms of SLA that describe such characteristics as maximum throughput, higher response time and minimal latency [6] Virtualization technologies allow improving resource utilization, technically termed VM Consolidation(or Server Consolidation or Workload Consolidation) is an essential part of resource management of virtualized data centers [7] The main challenges of energy efficiency in Cloud computing is to minimize both resource usage and SLA violations [8]. To address the issue of energy efficiency, we divide servers into 2 states viz: over utilization and under utilization.…”