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MapReduce is a programming model that enables efficient massive data processing in large-scale computing environments such as supercomputers and clouds. Such large-scale computers employ GPUs to enjoy its good peak performance and high memory bandwidth. Since the performance of each job is depending on running application characteristics and underlying computing environments, scheduling MapReduce...
In the Cloud, the operators usually offer resources on a pay per use price model. The client gets access to a newly created virtual machine and has no direct access to the underlying hardware. Therefore, the client cannot verify whether the Cloud operator provides the negotiated amount of resources or only a fraction thereof. Especially, the assigned share of CPU time can be easily forged by the operator...
We present a new record on computing specific bits of Pi, the mathematical constant, and discuss performing such computations on Apache Hadoop clusters. The specific bits represented in hexadecimal are 0E6C1294 AED40403 F56D2D76 4026265B CA98511D 0FCFFAA1 0F4D28B1 BB5392B8. These 256 bits end at the 2,000,000,000,000,252nd bit position, which doubles the position and quadruples the precision of the...
Cloud computing is an emerging paradigm for large scale infrastructures. It has the advantage of reducing cost by sharing computing and storage resources, combined with an on-demand provisioning mechanism relying on a pay-per-use business model. These new features have a direct impact on the budgeting of IT budgeting but also affect traditional security, trust and privacy mechanisms. Many of these...
Various scientific computations have become so complex, and thus computation tools play an important role. In this paper, we explore the state-of-the-art framework providing high-level matrix computation primitives with MapReduce through the case study approach, and demonstrate these primitives with different computation engines to show the performance and scalability. We believe the opportunity for...
The cloud services are on everybody's lips, but what is the standpoint of those needing to consider the implications of serious involvement? What trust related aspects the experts deem noteworthy when surrending organisation'scomputing services into foreign hands? In this paper we present results from an expert interview study on trust and cloud services, covering the nature, measurement and experiencing...
The numbers of smart phone users and related applications are growing rapidly, and applications continue to become more data-intensive. In the cloud based service for smart phone, if user demand on virtual machines exceeds the hardware capacity of the server, the server incurs an overload and bottleneck, network delay, latency, and packet loss rate are increased in 3G and Wi-Fi connections. Therefore,...
The emergence and application of cloud computing can help users access to various computing resources and services more conveniently. However, it also brings forth many security challenges. This paper proposes the application oriented remote verification trust model, which is capable of adjusting the user's trust authorization verification contents according to the specific security requirements of...
The recent emergence of, cloud computing is making the, vision, of, utility computing, realizable, i.e., computing resources and services from a cloud can be delivered, utilized, and paid for in the same fashion as utilities like water or electricity. Current, cloud service providers have taken some steps towards supporting the true, pay-as-you-go or a utility-like pricing model, and current research...
Database as a Service is a very attractive product from cloud service providers for small start-up companies. However, consistency maintenance among replica servers is a very big issue in cloud databases. Too much interdependency of replica servers in the existing consistency model reduces performance and throughput, and can increase the transaction failure rate of a cloud database. In this paper...
To satisfy the requirement of secure isolation of Infrastructure-as-a-Service (IaaS) for enterprise customers, virtual private clouds, which are separated from others by using virtualization technologies, are deployed. However, isolation with virtualization technologies cannot avoid the affect of performance degradation, such as traffic congestion. Therefore, bandwidth-guaranteed virtual private clouds...
The Hadoop file system is a large scale distributed file system used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with data-intensive workloads in a distributed campus grid environment. Unfortunately, the Hadoop file system is not designed to work in such an environment easily or securely. We present a solution that bridges the Chirp distributed file...
We consider geographically distributed data centers forming a collectively managed cloud computing system, hosting multiple Service Oriented Architecture (SOA) based context aware applications, each subject to Service Level Agreements (SLA). The Service Level Agreements for each context aware application require the response time of a certain percentile of the input requests to be less than a specified...
The Cloud phenomenon brings along the cost-saving benefit of dynamic scaling. As a result, the question of efficient resource scaling arises. Prediction is necessary as the virtual resources that Cloud computing uses have a setup time that is not negligible. We propose an approach to the problem of workload prediction based on identifying similar past occurrences of the current short-term workload...
In the background of cloud, self-destructing data mainly aims at protecting the data privacy. All the data and its copies will become destructed or unreadable after a user-specified period, without any user intervention. Besides, anyone cannot get the decryption key after timeout, neither the sender nor the receiver. The Washington's Vanish system is a system for self-destructing data under cloud...
Driven by the need to provision resources on demand, scientists are turning to commercial and research test-bed Cloud computing resources to run their scientific experiments. Job scheduling on cloud computing resources, unlike earlier platforms, is a balance between throughput and cost of executions. Within this context, we posit that usage patterns can improve the job execution, because these patterns...
Virtualization provides an effective management in server consolidation. The transparence enables different kinds of servers running in the same platform, making full use of hardware resource. However, virtualization introduces two-level schedulers: one from Guest OS, where the tasks are scheduled to virtual CPUs (VCPUs), the other from the virtual machine monitor (VMM), where VCPUs are scheduled...
Though with the rapid development, there remains a challenge on achieving high performance of I/O virtualization. The Para virtualized I/O driver domain model, used in Xen, provides several advantages including fault isolation, live migration, and hardware independence. However, the high CPU overhead of driver domain leads to low throughput for high bandwidth links. Direct I/O can achieve high performance...
While data grids can provide the ability to solve large-scale applications which require the processing of large amounts of data, they have been recognized as extremely energy inefficient. Computing elements can be located far away from the data storage elements. A common solution to improve availability and file access time in such environments is to replicate the data, resulting in the creation...
Cloud computing has become one of the key considerations both in academia and industry. Cheap, seemingly unlimited computing resources that can be allocated almost instantaneously and pay-as-you-go pricing schemes are some of the reasons for the success of Cloud computing. The Cloud computing landscape, however, is plagued by many issues hindering adoption. One such issue is vendor lock-in, forcing...
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