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Recently, computation offloading has become one of the common and efficient ways to minimize the energy expenditure. Considering the aspects of mobile-cloud communication, energy optimization is from the necessities of this offloading. Moreover, the variable and mobile states of mobile devices environments have a significance on this communication. In this article, we are going to suggest an adaptable...
This paper describes the already completed and verified first stage of a work in progress that aims to port a proposed optimised framework for virtual machine placement on hosts in a given cloud computing datacentre. The previously implemented and simulated framework using Matlab is being transferred to a richer cloud computing simulation environment that is CloudSim. The use of CloudSim permits,...
Nowadays the cloud computing technology is developing steadily and new approaches for work organization are still appearing. One of the problems of cloud computing technology is the control of the traffic in cloud applications and services in the network environment of virtual data center. The advantage of modern infrastructure's virtualization is the possibility to use the software-defined networks...
Hybrid cloud-based deployment is a trend in cloud computing which enables enterprise to benefit from cloud infrastructures while honoring privacy restrictions on some services. Enterprise application migration is an effective way to improve the efficiency of using the cloud infrastructures. However, it is a challenging problem to decide which parts of the applications to migrate and where to migrate...
The management of complex network services requires flexible and efficient service provisioning as well as optimized handling of continuous changes in the workload of the services. To adapt to changes in the demand, service components need to be replicated (scaling) and allocated to physical resources (placement) dynamically. In this paper, we propose a fully automated approach to the joint optimization...
With the rapid growth of the cloud industry in recent years, energy consumption of warehouse-scale datacenters has become a major concern. Energy-aware Virtual Machine consolidation has proven to be one of the most effective solutions for tackling this problem. Among the sub-problems of VM consolidation, VM placement is the trickiest and can be treated as a bin packing problem which is NP-hard, hence,...
Cloud computing is the network of distributed remote servers to access the information anytime, anywhere. Thus, it also referred to as ubiquitous computing. Cloud computing offers the high performance environment that has great sharing of resources across the distributed servers. Though there are large numbers of tasks to be allocated to these resources, it becomes very necessary to efficiently assign...
Cloud Computing is a new emerging paradigm that provisions various computing resources to meet the developing computational needs. Scheduling the task poses many difficulties, because the cloud computing resources are complex, dynamic, heterogeneous, distributed in nature. Task Scheduling aims at minimising the makespan and maximising the resource utilisation. This paper gives an elaborate idea about...
Scientific and research applications, Big data applications work on huge data sets and often comprise of several tasks depending on the application. To execute these applications, Cloud technology is best suitable because of the scalability and elasticity features along with pay according to the usage of Cloud resources. Resource Allocation in a cloud is a significant area in Cloud Computing as the...
This paper considers the resource allocation problem defined over a hybrid data center and edge server network, where the allocations are subject to integer constraints, taking the granularity of network resources and service requests into account. We develop two efficient heuristic algorithms to solve this nonconvex program, both based the alternating direction method of multipliers (ADMM) and a...
Cloud computing enables massive parallelization of execution of large scale simulation experiments but it is complex to do it in a cost-efficient way. We present methodology used to achieve this goal that was devised in the ROUTE-TO-PA project, where we develop a simulator for generalization of the dynamics of preferences observed on the social platform to the entire population. Experimenting with...
We study the dynamic energy optimization problem in data centers. We formulate and solve the following offline problem: given a set of jobs to process, where the jobs are characterized by arrival instances, required processing time, and completion deadlines, and given the energy requirements of switching servers ON or OFF, in which time-slot which server has to be assigned to which job, and in which...
The energy consumption of a data center and hence the carbon footprint from it largely depends on the energy consumption by its active Physical Machines (PMs). Researchers have taken many attempts to minimize the data center energy consumption through the Virtual Machines (VMs) allocation into a minimal number of PMs of homogeneous types. However, the current VM placement strategies do not consider...
Use of cloud computing technology and its services have pawed its way into many applications and this is also true in case of Content Delivery Networks. The storage services of cloud environment are replacing the traditional Content Delivery Networks for more reliability and easy availability of contents to users. Most research in Content Delivery Networks mainly focuses on delivering contents to...
The Underwater Acoustic Based Networks are vulnerable and susceptible towards number of natural as well as technical aspects which consume huge amount of energy and therefore it affects the lifetime. A number of approaches are devised so far for the enhancement of lifetime and performance factor of underwater networks, still there is huge scope of research. In this research work, a novel and effective...
With the growing amount of information available online, context-aware recommender systems have emerged to improve the precision of recommendation. Matrix factorization models are the state-of-the-art in these systems, especially for multi-context recommendation. However, existing models ignored either context influence or entity sensitivity. That is, they assume that one entity (user or item) shares...
Extending the range of Ex-equipment status monitoring with the help of big data to solve the practical problem is an important research subject nowadays. For high reliable storage and rapid access of data, the safety and optimization of data distribution based on Hadoop is studied. A multi-copy consistency Hash algorithm based on data correlation is proposed. The algorithm store the relevant data...
As demands for cloud-based data processing continue to grow, cloud providers seek effective techniques that deliver value to the business without violating Service Level Agreements (SLAs). Cloud right-sizing has emerged as a very promising technique for making cloud services more cost-effective. In this paper, we present CRED, a novel framework for cloud right-sizing with execution deadlines and data...
Resource management in cloud infrastructures is one of the most challenging problems due to the heterogeneity of resources, variability of the workload and scale of data centers. Efficient management of physical and virtual resources can be achieved considering performance requirements of hosted applications and infrastructure costs. In this paper, we present a self-adaptive resource management system...
Content delivery network meets the modern virtualization techniques based on Software-Defined Networking (SDN) and/or Network Functions Virtualization (NFV). Therefore, virtual nodes can be easily migrated from one location to another. In this paper, an intelligent migration algorithm for deciding the optimal placement destinations for virtual content delivery functions is proposed (OMAC). Then, it...
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