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Data sharing in Personal Clouds blurs the lines between on-line storage and content distribution with a strong social component. Such social information may be exploited by researchers to devise optimized data management techniques for Personal Clouds. Unfortunately, due their proprietary nature, data sharing is one of the least studied facets of these systems. In this work, we present the first study...
In today's data centers, storage hardware is getting virtualized and shared across multiple tenants. The storage virtualization is expected to significantly increase resource utilization, and consequently provide infrastructure providers with tremendous cost savings. In a shared environment, however, demanding tenants can severely impact the IO performance of co-located tenants. Therefore, in order...
MapReduce is a popular computing model for parallel data processing on large-scale datasets, which can vary from gigabytes to terabytes and petabytes. Though Hadoop MapReduce normally uses Hadoop Distributed File System (HDFS) local file system, it can be configured to use a remote file system. Then, an interesting question is raised: for a given application, which is the best running platform among...
Current cloud users pay for statically configured VM sizes irrespective of usage. It is more favorable for users to consume (and be billed for) just the right amount of resources necessary to satisfy the performance requirement of their applications. We take a novel perspective to enable such resource usage, where we assume that the cloud operator exposes a small, dynamic fraction of its infrastructure,...
Network Functions Virtualization (NFV) is a paradigm designed to promote service agility and able to quickly generate revenue, thus encouraging competition among companies in the computer network industry. Besides the advocated benefits of NFV, management requirements should be properly taken into account. The choice of a particular NFV-based technology must consider its management requirements. However,...
Recently, Cloud based Content Delivery Network (CCDN) has emerged as efficient content delivery architecture to provide content delivery services with improved Quality of Service (QoS), scalability and resource efficiency. Replica server placement is a key design issue in CCDNs and involves deciding the placement of replica servers on geographically dispersed cloud sites that minimizes the operational...
In this paper, we investigate the tags polling problem for large, multireader RFID systems. We take an approach completely different from that used so far for multireader protocols. Up to now, in the proposed protocols for this and related problems, first readers are scheduled so that those with overlapping ranges never operate at the same time. Then, proper protocols for each so scheduled reader...
Cloud computing is an emerging technology which enables the cloud users to access the computing resources without having to pay huge capital expenses to scale up the IT infrastructure and reduces the management cost, in both hardware and software. A cloud introduces a resource rich computing model with features such as flexibility, pay per use, elasticity, scalability, and others. In this context,...
TACC Stats is a continuous monitoring tool for HPC systems that collects data at the core and process level for every job executing on a monitored system. That data can be aggregated at the system, group, user, application, job, node, or core level. TACC Stats has been in production use for about 5 years and is now used by numerous HPC systems around the world. This paper reports on a major new version...
The rapid increase of portable devices providing a multitude of mobile applications have led to excessive cellular traffic demands and consequently to the overload of cellular networks. Recently, migrating this traffic by opportunistic vehicular networks has attracted a great interest and appeared as a promising solution. Indeed, only a limited set of vehicles (seeds) is selected to download objects...
This paper discusses the utilization of SDN/NFV as enabling technology for the provision of in-service video quality assessment. The proposed method is based on a reduced reference extension of the widely used full reference SSIM metric, proving how the applicability of SDN/NFV can support the development of novel value-added service. The proposed video quality assessment method is based on a two-step...
This paper proposes a crowdsourcing system that can provide Internet streaming media companies with the ability to assess users' Quality of Experience (QoE) when they are watching the company's online video streaming at their residences. To validate the effectiveness of the system, a resident measuring device and crowdsourcing applications on users' end device are implemented with several scenario...
About ten years ago, we presented the results of an effort to identify the "right metric" for efficient supercomputing at this workshop, The Workshop on High-Performance, Power-Aware Computing. In this paper, we review the advances that the community has made in this area of research. The intention of this ten-year retrospective is two-fold: (1) to acknowledge the past work through a historical...
Over the past decade, platforms at Los AlamosNational Laboratory (LANL) have experienced large increases in complexity and scale to reach computational targets. The changes to the compute platforms have presented new challenges to the production monitoring systems in which they must not only cope with larger volumes of monitoring data, but also must provide new capabilities for the management, distribution,...
This paper presents a new method for selection between replicated servers distributed over a wide area, allowing application and network providers to trade-off costs with quality-of-service for their users. First, we create a novel utility framework that factors in quality of service metrics. Then we design a polynomial optimization algorithm to allocate user service requests to servers based on the...
Location-based service (LBS) is useful for many applications. However, LBS has raised serious concerns about users' location privacy. Utilizing the computation and storage capacity of smart phones, we propose a novel system architecture, called Location Privacy Protection for Smartphone (LPPS), to provide a privacy-preserving top-k query. LPPS does not rely on a trust third party (TTP), nor does it...
In this paper we consider a root-cause analysis framework for NFV infrastructure. As monitoring machinery for NFV has matured the next step is to leverage on such data to automatically optimize failure detection, analysis, and overall resiliency. The complex architecture and dynamics of NFV poses significant challenges from the point of view of causality inference. In particular, the need for an approach...
Service assurance for the telecom cloud is a challenging task and is continuously being addressed by academics and industry. One promising approach is to utilize machine learning to predict service quality in order to take early mitigation actions. In previous work we have shown how to predict service-level metrics, such as frame rate for a video application on the client side, from operational data...
Participatory Sensing is an emerging paradigm that enables users carrying sensors-equipped smart devices to gather and share data about a particular phenomenon. However, involving individuals in sensing tasks raises new challenges such as the quality of collected data, denoted as Quality of Information (QoI), and the dedicated resources for its acquisition. Besides, a fair task assignment is highly...
Workload redundancy emerges as an effective method to guarantee quality of service (QoS) targets, especially tail latency, in environments with strong capacity variability such as clouds. Nevertheless mostly single-tier replication strategies have been studied, while multi-tier architectures are a very popular choice in cloud deployed applications. In this poster we raise the awareness on the challenges...
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