Dynamic resource management using virtual machine migrations

Mishra, Mayank; Das, Ashish Kumar; Kulkarni, Purushottam; Sahoo, Anirudha

doi:10.1109/mcom.2012.6295709

Cited by 233 publications

(98 citation statements)

References 8 publications

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“…This interaction would allow for elastic cloud services and to isolate between customer and operator cloud management, e.g. when moving VMs among DCs [14], [15].…”

Section: 2mentioning

confidence: 99%

A service-oriented hybrid access network and clouds architecture

et al. 2015

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Abstract-Many telecom operators are deploying their own cloud infrastructure with the two-fold objective of providing cloud services to their customers and enabling network functions virtualization. In this article, we present an architecture named as SHINE, which focuses on orchestrating cloud with heterogeneous access and core networks; intra and inter data center (DC) connectivity is dynamically controlled, maximizing the overall performance in terms of throughput and latency whilst minimizing total costs. The main building blocks are: 1) a future-proof network architecture that can scale to offer potentially unlimited bandwidth based on an Active Remote Node (ARN) to interface end-users and the core network; 2) an innovative distributed DC architecture consisting of micro-DCs (μ-DC) placed in selected core locations to accelerate content delivery, reducing core network traffic, and ensuring very low latency; and 3) dynamic orchestration of the distributed DC and access and core network segments. SHINE will provide unprecedented Quality of Experience (QoE), greatly reducing costs by coordinating network and cloud and facilitating service chaining by virtualizing network functions. INTRODUCTIONA revolution in access networks is underway. The revolution is driven by the continued transformation of cellular networks offering to portable devices bit-rates and Quality of Service (QoS) comparable to those traditionally made available only through fixed networks. Driven by demand for video and the proliferation of data centers (DC), more than 75 percent of that traffic will stay in access/metro networks by 2017, as compared to 57 percent today, as forecasted in [1]. Accommodating the enormous traffic growth in a cost-effective and service-efficient way is essential for the viability of telecom operators and motivates a major network re-design. In fact, these shifting traffic patterns are the result of bringing content closer to the users to better manage quality of experience (QoE). For instance, the most popular video content can be cached and delivered to users locally over access/metro networks rather than being accessed from a central cache over the backbone network.Coordinating these and new advanced services to be offered to a widely distributed number of customers requires building advanced service chains. Nevertheless, building service chains is very expensive and time consuming, since it requires, besides deploying dedicated hardware for each required network function, configuring each device using its proprietary command syntax, interfaces and protocols. Moreover, since loads often change over time, building a new service chain typically requires estimating future demands and over-provisioning IT and network resources to support growth. This prevents from reducing the final price that users pay undermining the average revenue per user (ARPU).The continuous advances in computing hardware facilitate real-time processing to be performed on commodity hardware instead of specialized one. These advances enable ...

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“…This interaction would allow for elastic cloud services and to isolate between customer and operator cloud management, e.g. when moving VMs among DCs [14], [15].…”

Section: 2mentioning

confidence: 99%

A service-oriented hybrid access network and clouds architecture

et al. 2015

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“…If VM is busy then user waits for their turn. [7,12] Variables Meaning The available cloud resources…”

Section: Cost Scheduling Algorithmmentioning

confidence: 99%

Efficient Cost Scheduling algorithm with Load Balancing in a Cloud Computing Environment

Chawla¹

2015

IJIRCCE

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Cloud computing is a very popular paradigm in the field of computer science. It provides on demand, ubiquitous access as a service to different people via the internet. In spite of offering many benefits over the traditional computing, there are numerous issues in cloud computing . Load balancing is one of the issue in cloud computing that distributes the workload to the nodes in such a way no one node is overloaded or under -loaded. In this paper, cost scheduling algorithm is applied for load balancing by considering the cost of service provider and user. In the cost scheduling algorithm, efficient mapping of tasks to available packages in cloud so it beneficial to user and service provider.

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“…To compute P IT , the power consumed by both the servers and network equipment must be considered. The power consumption of a server depends on the CPU utilization as function of the load, and can be estimated as P server (load) = P server-idle + (P server-max -P server-idle )*load (1) where load represents the ratio between the current load and the maximum capacity of the server, whilst P server-idle and P server-max represent the power consumed by the server when it is idle and when it operates at its maximum capacity, respectively [15]. The power consumed by network equipment depends on the specific architecture of the DC.…”

Section: 1mentioning

confidence: 99%

“…Thanks to virtualization, jobs (e.g., web applications) can be encapsulated in virtual machines (VM) and run in the most proper server according to their performance goals. The local resource manager can migrate VMs from one server to another looking for reducing energy consumption while ensuring the committed quality of experience (QoE) [1]. In that regard, the live-migration technique allows migrating VMs from one server to another without stopping them resulting in reduced downtimes.…”

Section: Introductionmentioning

confidence: 99%

Orchestrating connectivity services to support elastic operations in datacenter federations

2015

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Abstract-Datacenter federations are able to manage appropriately the green energy resources available in each datacenter (DC) thanks to their geographically distributed infrastructure, thus reducing energy expenditure. Scheduling algorithms can compute virtual machine migration, transferring huge amounts of raw data from one DC to another to minimize operational costs and ensuring a certain Quality of Experience (QoE). Because green energy availability greatly depends on weather conditions, in this work we present a statistical model to improve green solar energy availability estimation accuracy and we use it in a mixed integer linear programming (MILP) formulation to compute optimal virtual machine placement. Optical connections can be used to provide connectivity services of enough capacity to support those migrations. In particular, elastic optical networks can provide connections with multi-granular bitrate, which can be adapted on demand. DC resource managers can request optical connections and control their capacity. However, that scheme involves the resource managers to implement algorithms and interfaces to deal with network specifics and complexity. To solve that issue, in this paper we propose coordinating transfer-based inter-DC connectivity services; inter-DC connectivity is requested in terms of volume of data and completion time. We analyze cost savings when each connectivity model is applied in a DC federation. For the sake of a compelling analysis, exhaustive simulation experiments are carried out considering realistic scenarios. Results show that the notificationbased model can save up to 20% of energy costs and more than 40% of communication costs in the evaluated scenarios.Keywords: Federated datacenters, Energy costs minimization, Inter-datacenter networks. INTRODUCTIONThe huge energy consumption of datacenters (DC) requires an elastic resource management, e.g. by turning servers off when they are not used or turning them on to satisfy increments in the demand. Thanks to virtualization, jobs (e.g., web applications) can be encapsulated in virtual machines (VM) and run in the most proper server according to their performance goals. The local resource manager can migrate VMs from one server to another looking for reducing energy consumption while ensuring the committed quality of experience (QoE) [1]. In that regard, the live-migration technique allows migrating VMs from one server to another without stopping them resulting in reduced downtimes. Large Internet companies, such as Google, have their own IT infrastructures consisting in a number of large DCs placed in geographically diverse locations to guarantee the appropriate QoE to users; DCs are interconnected through a wide area network [2]. Using such infrastructure, workloads can be moved among DCs to take advantage of reduced energy cost during off-peak energy periods in some locations while using green energy when it is available in some other locations. Servers are turned off when they are not used, thus minimizing their energy expendit...

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Dynamic resource management using virtual machine migrations

Cited by 233 publications

References 8 publications

A service-oriented hybrid access network and clouds architecture

A service-oriented hybrid access network and clouds architecture

Efficient Cost Scheduling algorithm with Load Balancing in a Cloud Computing Environment

Orchestrating connectivity services to support elastic operations in datacenter federations

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