The massive energy usage of data centers may be traced in part to the growing number and workstations because economies scale for cloud computing. It does, though, indicate wasteful power usage. Consequently, researching ways improve efficiency datacenter equipment is now a crucial aspect reducing consumption. In this study, we describe methodologies algorithms flexible, energy-efficient, effec...

Cloud-based systems and the datacenter computing environment present a series of challenges to system designers for supporting massively concurrent computation on clusters with commodity hardware. The platform software should abstract the unreliable but highly provisioned hardware to provide a highperformance platform for a diversity of concurrent programs processing potentially very large data...

The first dual-port server-centric datacenter network, FiConn, was introduced in 2009 and there are several others now in existence; however, the pool of topologies to choose from remains small. We propose a new generic construction, the stellar transformation, that dramatically increases the size of this pool by facilitating the transformation of well-studied topologies from interconnection ne...

Cloud computing has emerged as a practical paradigm for providing IT resources, infrastructure and services. This led to the establishment of datacenters that have substantial energy demands their operation. work investigates optimization consumption in cloud datacenter using efficient allocation tasks resources. The seeks develop formal models minimize computational resources evaluates use exi...

Cloud computing is distributed computing, storing, sharing and accessing data over the Internet. It provides a pool of shared resources to the users available on the basis of pay as you go service that means users pay only for those services which are used by him according to their access times. Load balancing ensures that no single node will be overloaded and used to distribute workload among ...

Cloud computing is a new technology and Due to its economical and operational benefits it is the most popular concept in IT today. Clouds consist of a collection of virtualized resources that can be provisioned on demand, depending on the clients' needs. In this technology almost everything like hardware, software and platform are provided as a service. In cloud computing one Host is a componen...

An OpenStack based private cloud with the Gluster File System has been built and used with both CMS analysis and Monte Carlo simulation jobs in the Datacenter Indirection Infrastructure for Secure High Energy Physics (DII-HEP) project. On the cloud we run the ARC middleware that allows running CMS applications without changes on the job submission side. Our test results indicate that the adopte...

Energy efficiency (EE), energy consumption cost and environmental impact are vibrant challenges to cloud computing and data centers. Reducing energy consumption and emissions of carbon dioxide (CO2) in data centers represent open areas and driving force for future research work on green data centers. Our Literature review reveals that there are currently several energy efficiency frameworks for...

An inefficient energy consumption of computing resources in a large cloud datacenter is a very important issue since the energy cost is now a major part of the operating expense. In this paper, the challenge of scheduling a parallel application on a cloud platform to achieve both time and energy efficiency is addressed by two new proposed algorithms Enhancing Heterogonous Earliest Finish Time (...

Datacenter networks typically have multiple paths connecting each host pair to achieve higher bisection bandwidth. However, existing transport and routing protocols have little support for multipath in the scale of a datacenter. We advocate to design practical datacenter architectures for easy operation, i.e., an architecture should be reliable, capable of improving bisection bandwidth, scalabl...