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Cloud computing platforms provide easy and transparent access to a company's storage infrastructure through services. Commonly known as Storage as a Service (STaaS), it allows users to store their data at remote disks and access them anytime from any place. On the other hand, with the deployment of Electronic Document Management (EDM) to manage the insertion, sharing, and retrieval of information...
Network Function Virtualization (NFV) brings agility and flexibility delivering network services with cost efficiency to network operators. As an emerging technology, it also presents several challenges, among them, ensuring high performance for virtualized network functions, based on software implementation and running on standard IT servers, instead of custom hardware appliances. In this article,...
In order to provide the cloud computing research community with a full-system level datacenter server emulator with programmable hardware and software, and stimulate more innovative research work, this poster and demo shows a scientific research platform, Titian2, designed and implemented at ICT of CAS. Titian2 has the ability of on-line profiling and measuring, and the scalability of connecting with...
Due to its special characteristics, offering Hadoop-as-a-Service (HaaS) in a virtualized environment is more challenging than providing any other kinds of cloud services. This paper describes those challenges and presents solutions to them, ranging from an experimental project to open source and commercial enterprise systems to public cloud providers.
Modern datacenters employ server virtualization and consolidation to reduce the cost of operation and to maximize profit. However, interference among consolidated virtual machines (VMs) has barred mission-critical applications due to unpredictable performance. Through extensive measurements of RUBBoS n-tier benchmark, we found a major source of performance unpredictability: the memory thrashing caused...
The world keeps contributing to the increase in data everyday drastically. Scientific applications, weather forecasting, researches, hospitals, military services are few such major contributors. As the amount of data increases, the need to provide efficient, easy to use solutions has become one of the main issues for these type of computations. The best solution to this issue is the use of Distributed...
This paper provides a snapshot summary of the trends in the area of micro-server development and their application in the broader enterprise and cloud markets. Focusing on the technology aspects, we provide an understanding of these trends and specifically the differentiation and uniqueness of the approach being adopted by the EUROSERVER FP7 project. The unique technical contributions of EUROSERVER...
Network Function Virtualization (NFV) is utilized to simplfy the deployment and management of constantly evolving and highly complex networking services. In this paper, we propose a dynamic load management framework for IMS networks using NFV, where IMS functions are created within a single virtual machine (VM) instance and moved to the cloud environment. Requests coming from the IMS clients are first...
File System is Data-Structure with Logic (method) to handle efficiently a group of information on disk. File systems come are classified according to their structure method of operation, speed of operation, scalability and flexibility size and security. A file system framework is an intends to sort out data anticipated that would be retained after a program terminates by giving methodology to store,...
Hardware Transactional Memory (HTM) is nowadays available in several commercial and HPC targeted processors and in the future it will likely be available on systems that can accommodate a very large number of threads. Thus, it is essential for the research community to target on evaluating HTM on as many cores as possible in order to understand the virtues and limitations that come with it. In this...
Hardware Transactional Memory (HTM) is nowadays available in several commercial and HPC targeted processors and in the future it will likely be available on systems that can accommodate a very large number of threads. Thus, it is essential for the research community to target on evaluating HTM on as many cores as possible in order to understand the virtues and limitations that come with it. In this...
Migrating to the cloud is becoming a necessity for the majority of businesses. Cloud tenants require certain levels of performance in aspects like high availability and service rate and deployment options. On the other hand, Cloud providers are in constant pursuit of a system that satisfies client demands for resources, maximizes availability, minimizes power consumption and, in turn, minimizes the...
Data centre plays a vital role in enterprise service provisioning. However, its total cost of ownership is high due to various factors such as underutilization of servers, administrative overhead coupled with increase in energy requirements and floor space. In spite of high investment on data centres, there is a dearth for application availability, scalability and optimal performance in provisioning...
We propose VM placement control methods to select VM addition server, and to select movement server of VM. We consider to keep redundancy for server trouble. We confirm that proposed methods can control VM in accordance with the state of each server without increasing servers more than required even if VM added at random. We implement a new scheduling method by the proposed methods in OpenStack and...
Traffic monitoring is the essential capability for large-scale enterprises, data centers, service providers, and network operators to ensure reliability, availability, fault assurance, and security of their underlying network resources. Currently, most monitoring solutions are standalone dedicated ones. Major drawbacks of these dedicated standalone appliances per-feature are high-cost, lack of flexibility,...
The data growth enhances the need of a method and paradigms responsible to deal with high scalability, reliability and fault tolerance in large amounts of data. Big Data is a framework capable of dealing with this need. This research makes usage of Apache Hadoop, and a Virtual Private Server (VPS) to analyze the performance through benchmark tests executed on locally, geographically distributed, and...
Transactional Memory (TM) is a new programming paradigm for both simple concurrent programming and high concurrent performance. Hardware Transactional Memory (HTM) is hardware support for TM-based programming. It has lower overhead than software transactional memory (STM), which is a software-based implementation of TM. There are now four commercial systems, IBM Blue Gene/Q, IBM zEnterprise EC12,...
3D Massively Multiplayer Online (MMO) applications have in present a large number of registered and active users that can reach up to even several millions for the most popular ones. These types of applications that include 3D games, virtual life simulations, educational environments, museums, etc. are already considered by many as the new generation of human computer interface and human computer...
Data is abundantly present in today's world and the amount of data we generate continues to grow. The representation and structure of this data, however, differs greatly depending on the software or platform. The wide variety of software available shows there is no one optimal way to model data for all software, but when you want to deploy software in the cloud using a Platform-as-a-Service (PaaS)...
There are numerous proprietary appliances in operators' networks. These appliances consume a lot of electricity and plenty of space to deploy, which lead to high operating expense (OPEX) for operators. Network Function Virtualisation (NFV) is introduced to solve this problem. NFV consolidates many network devices into network applications, which can be running on industry commodity servers. Those...
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