A Holistic Model for Resource Representation in Virtualized Cloud Computing Data Centers

Abstract

Abstract-Management and optimization of cloud infrastructures combine multiple challenges. The optimization of data centers targets such objectives as performance, reliability, energy consumption, and security. To achieve these goals, multiple actions can be taken, for example, task and virtual machine allocation or infrastructure management. In this work we propose a model for representation of computing, memory, storage, and communication resources in cloud computing data centers. This model is relevant for the characterization of cloud applications, virtual machines, as well as physical servers. The performance evaluation and validation of the proposed model is carried out using the GreenCloud simulator. The obtained results show good agreement with the design objectives and confirm validity of the assumptions.

Energy-efficient data replication in cloud computing datacenters

“…GreenCloud offers a detailed fine-grained modeling of the energy consumed by the data center hardware, such as servers, switches, and communication links, and implements a number of networkaware resource allocation and scheduling solutions [26], [21]. The performance evaluation considers only single datacenter with a holistic model for resource representation [9]. However, the obtained results can be easily extrapolated to the scenario with multiple datacenters.…”

An Effective Massive Sensor Network Data Access Scheme Based on Topology Control for the Internet of Things

“…This strategy can effectively reduce backup time and enhance users’ access request stability via combining different strategies. The work in [31] presents a model that can express the computing, memory, storage and communication resources of the cloud computing data center, which can enhance data center access performance and reliability, from the perspective of cloud infrastructure management and optimization. The work in [32] proposes a powerful meta-heuristic, greedy randomized adaptive search procedure, augmented by path re-linking.…”

“…Although it satisfies the processing fairness of the server requests, it does not make full use of the access ability of new servers, which affects the capacity of the access cluster’s load balancing when processing requests for a longer time. The research in [23,24] mainly considers the real-time processing; the work in [25,26] centres on the reliability of message transmission; the work in [27,28] mainly considers the network resource quality’s impact on access to the virtual data center; the proposed methods in [29,30,31] concentrate on network availability and data center stability; the research in [32,33] mainly centres on the optimization of the network resources cost between virtual machines; the methods in [34,35] focus on privacy protection and visiting safety; the work in [36,37,38,39] mainly consider data center access from the aspect of task optimization and load scheduling; and the work in [40,41,42] solves access problems from the perspective of virtual data center resource reallocation and virtual machine migration.…”

Profiling cloud applications with hardware performance counters

“…And this decision process is complex. It must account for a large number of parameters such as time, current load, load dynamics, size of the resource pool, networking, data center topology, and QoS [1]. The control plane enables/disables data center equipment and migrates VMs to different hardware as it is needed.…”

“…In this paper we present a novel methodology to classify and rank VMs based on the analysis of Hardware Performance Counters (HPCs) 1 . HPCs accumulate resource access statistics such as the number of time a VM accessed CPU caches or the success rate of the branch predictor.…”