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Cloud Data Center (DC) service orchestration and resource management are important applications of the Software Defined Networking (SDN) paradigm. In this paper, we introduce a novel dynamic allocation strategy for Virtual Machine (VM) allocation called Enhanced multi-objective Worst Fit (E-WF). E-WF combines the multi-objective Best Fit and Worst Fit allocation strategies, and it exploits the history...
We developed a field management system with a field server that helps decrease farmers workload. It will be also enable the transfer of knowledge to the next generation of farmers in Japan. In order to reduce the burden of agricultural work, less frequent maintenance of the field server is desired. In this paper, we explain construction method of a local wireless network to cut the power consumption...
Data Centers (DCs) are becoming increasingly important in recent years and require efficient operation and management. Thus, a topic of focus has been DC Infrastructure Management (DCIM) that can manage ICT equipment, power equipment, HVAC systems, etc. In this study, we developed a method to design the ICT equipment layout in the server room by using DCIM and Computer Fluid Dynamics (CFD). The method's...
To save resources and for a greener planet, saving electricity is a must. Many of the common people use electricity without any calculation or thoughts if it is possible to save electricity with less usage but fulfilling their needs. In this paper an advanced application has been introduced where any user can plan for his wished electricity bill at the end of the month, can plan for a less consumption...
In this work, a detailed experimental characterization of GPRS and 3G data transmission energy consumption, in a custom Remote Telemetry Unit (RTU) is presented. This comparison results valuable for the design of low data-rate, battery-powered, RTUs until reliable and wide spread IoT networks specifically developed for this type of application in suburban areas are available (probably not before 2...
Nowadays, cloud computing has emerged as the most popular computing platform due to its ability to reduce the operating costs. A sizable chunk of the operating costs is composed of power consumption of the cloud data center alone. It has been observed that improperly sized virtual machines result in comparatively higher power consumption. Although efforts have been made to address the issue of high...
As servers are equipped with more memory modules each with larger capacity, main-memory systems are now the second highest energy-consuming component in big-memory servers and their energy consumption even becomes comparable to processors in some servers. Meanwhile, it is critical for big-memory servers and their main-memory systems to offer high energy efficiency. Prior work exploited mobile LPDDR...
In green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate on the fly the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm...
Video traffic is a key-challenge for fixed and mobile operators facing variable and massive load and variety of Over- The-Top (OTT) videos. Energy consumption is also a heavy Opex component, where the Fixed-Mobile Convergence is a promising solution, built on on economical optic fibers and LTE baseband operations consolidation. By combining Future Internet Architectures (FIA) principles such as ubiquitous...
In the US alone, data centers consumed around $20 billion (200 TWh) yearly electricity in 2016, and this amount doubles itself every five years. Data storage alone is estimated to be responsible for about 25% to 35% of data-center power consumption. Servers in data centers generally include multiple HDDs or SSDs, commonly arranged in a RAID level for better performance, reliability, and availability...
The problem of energy consumption is topical in every sphere of human activity nowadays. This problem is especially important for IT (information technologies), where the amount of data that needs to be processed is growing every day. In this paper PCPB (Power Consumption and Performance Balance) algorithm has been proposed. It is an energy-aware scheduling algorithm which is aimed at reducing power...
Internet of Thing (IoT) is growing rapidly with more devices connected to the Internet. One emerging group of these is called wearable devices. The wireless technologies used by wearable devices need to consider the long lasting of battery life. Consequently, Bluetooth Low Energy (BLE) has emerged as the wireless technologies for wearable devices due to its features of low power consumption. In this...
The green-house effect has been a major concern for all researchers and big company world-wide. This study reduces the power consumption of single server without degrading the quality of the service by focusing on minimizing the migration of Virtual Machine. Existing migration system for Virtual Machine does not perform well for kinds of load toward single server. Thus, a new algorithm is calculated...
The accurate measurement of a server's power consumption when running realistic workloads enables characterization of its energy efficiency and helps to make better provisioning and workload placement decisions. Information on the energy efficiency of a server for a given target workload can greatly influence such decisions and thus the final energy efficiency of a cluster or data center. However,...
Placement of Virtual Machines (VMs) on physical servers is a challenging area of research and has received considerable interest among researchers in the field of Cloud Computing. This paper focuses on the reduction of cost in placing a set of VMs considering the constraints of available cloud resources. We have proposed a polynomial time heuristic to place VMs satisfying the constraints with the...
This paper proposes the practical implementation of a balanced electrical supply among the grid, residential units and shared facility controllers for designing future smart home energy services. To achieve energy economization, the project involves design and analysis of a database management system incorporated with different web applications. The main purpose for using these technologies is to...
In this paper, we investigate an effect on group detection based on human proximity depending on RSSI values, measured by BLE signals. To realize the investigation, we present a novel method for detecting groups. In the method, we developed a smartphone application for measurement of RSSI values of BLE, and determine a threshold of RSSI values which selected experimentally by making the propagation...
Elastic optical networks (EONs) are considered as the most promising technology for interconnecting data centers. With the rapid growth of inter- datacenter traffic, power consumption of EONs becomes a significant challenge. In this work, we present a lightpath management algorithm that uses traffic prediction techniques to eliminate unnecessary lightpath termination and re- establishment so as to...
In this paper, a data-center network (DCN) system that distinguishes Hadoop job types and allocates optical/electrical circuits to data flows depending on the types automatically is proposed. The proposed system calculates the predicted shuffle value (PSV) of the Hadoop job and determines which type of flow is allocated by comparing the PSV and the threshold value. The PSV can be calculated from a...
Commodity HardWare (CHW) is currently used in the Internet to deploy large data centers or small computing nodes. Moreover, CHW will be also used to deploy future telecommunication networks, thanks to the adoption of the forthcoming network softwarization paradigm. In this context, CHW machines can be put in Active Mode (AM) or in Sleep Mode (SM) several times per day, based on the traffic requirements...
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