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A popular U.S. talk show host uses “top 10” lists to critique events and culture every night. Our HPC industry is captivated by another list, the TOP500 list, as a way to track HPC systems' performance based on FLOPS/S assessed by a single, long-lived benchmark—Linpack. The TOP500 list has grown in influence because of its value as a marketing tool. It simplistically, but unrealistically, describes...
“Big Data” traditionally refers to some combination of high volume of data, high velocity of change, and/or wide variety and complexity of the underlying data. Solving such problems has evolved into using paradigms like MapReduce on large clusters of compute nodes. More recently, a growing number of “Deep Data” problems have arisen where it is the relationships between objects, and not necessarily...
Non Obvious Relationship Analysis (NORA) is one of the most stressing classes of Big Data Analytics problems. This paper proposes a reference NORA problem that is representative of real problems, and can rationally scale to very large sizes. It then develops a highly concurrent implementation that can run on large systems. Each step of this implementation is sized in terms of how much of four different...
Many of earlier attempts on mobile cloud integrations aim on increasing stroage capacity of mobile devices, rather than its computation capacity. Traditional distributed computing model relies on static and reliable network connections to share workload among collaborative devices. The researches on pervasive and ubiqutious computing community enable collaborative computation to be conducted on connected...
In this paper we present Worldsens, an integrated environment for development and rapid prototyping of wireless sensor network applications. Our environment relies on software simulation to help the designer during the whole development process. The refinement is done starting from the high level design choices down to the target code implementation, debug and performance analysis. In the early stages...
Storage plays a pivotal role in the performance of many applications. Optimizing disk architectures is a design-time as well as a run-time issue and requires balancing between performance, power and capacity. The design space is large and there are many "knobs" that can be used to optimize disk drive behavior. Here we present a sensitivity-based optimization for disk architectures (SODA)...
In this paper, we propose the first wire density driven global routing that considers CMP variation and timing. To enable CMP awareness during global routing, we propose a compact predictive CMP model with dummy fill, and validate it with extensive industry data. While wire density has some correlation and similarity to the conventional congestion metric, they are indeed different in the global routing...
Supervisory Control and Data Acquisition (SCADA) is a typical OT (Operational Technology) system that uses computers, networked data communications and graphical user interface for process supervisory management. SCADA systems are managing industrial processes or mission-critical infrastructure, and most installations are not making use of cloud-based infrastructure. In this paper, we present different...
Highly imbalanced datasets continue to be a challenge in many data mining applications. It is surprising that state-of-the-art techniques countering class imbalances are usually very computationally expensive and therefore unscalable. Most research effort has been directed into enhancing those techniques, e.g., by focusing on borderline examples or combining multiple techniques. This is usually accompanied...
Graphics Processing Units (GPUs) computing has become ubiquitous for embedded system, evidenced by its wide adoption for various general purpose applications. As more and more applications are accelerated by GPUs, multi-tasking scenario starts to emerge. Multi-tasking allows multiple applications to simultaneously execute on the same GPU and share the resource. This brings new challenges due to the...
Low write performance is a major obstacle to the commercialization of MLC PCM. One opportunity for improving the latency of MLC PCM writes is to use fewer SET iterations in a single write. Unfortunately, the data written by these short writes have significantly shorter retention time and thus need frequent refreshes. As a result, it is impractical to use these short-latency, short-retention writes...
Consistency is a critical issue in distributed storage systems. Data in distributed storage systems are replicated across multiple storage nodes. When a copy of data is modified, all other copies need to be updated to prevent clients from reading stale data. However, such strong consistency requires the system to wait for all replicas to finish updates before returning to the client. Thus performance...
Reliable and scalable storage systems are key to cloud-based applications. In cloud storage, users store their data on remote servers rather than their local computers. Secure storage is used to ensure the safety of data in clouds. As more and more users rely on third-party cloud vendors to store their data, concerns have arisen among users and cloud providers. Encryption-based approaches are commonly...
The significant number of fails and dropouts in computing undergraduate courses, especially in mathematics and programming, remains a challenge. Although the motivation can be directly related to the success of the student, it has only been addressed by a few studies. The purpose in this paper is to assess the impact of factors prior to university on the performance and motivation of undergraduate...
The dynamic topology of a Mobile Ad Hoc Network (MANET) can introduce operational performance constraints. Cells in the human body use pain to indicate a sense of stress or discomfort. This paper conceptualizes pain in a MANET. As MANET is a collection of mobile nodes that may be acting as a source, destination or relay there is an inherent instantaneous variability in the MANET, and this affects...
Advances in technology and the need to meet many interdependent competing requirements have led to complex information intensive systems that can be best managed by integrating multi-discipline, multi-attribute models for better informed decision-making. Attempts to bridge the gap between systems engineering and project management have been sought through project management methods and through imposing...
Performance prediction issue is becoming more and more important for grid-connected Photovoltaic plants. This paper presents the performance prediction of a grid-connected photovoltaic plant using a hybrid technique; the used technique combines Seasonal Autoregressive Integrated Moving average (SARIMA) with Support Vector Machines (SVM). The employed data in this study are derived from a 20kWp grid-connected...
Aggregation protocols allow for distributed lightweight computations deployed on ad-hoc networks in a peer-to-peer fashion. Due to reliance on wireless technology, the communication medium is often hostile which makes such protocols susceptible to correctness and performance issues. In this paper, we study the behavior of aggregation protocols when subject to communication failures: message loss,...
It can be seen that the vision of the future networking is more focused on the things, media and services, rather than people. With the increasing importance of the Internet of Things, as well as the diversity of the objects, it is crucial to achieve the highest possible level of interoperability. This means that information exchanged needs to have the same format; in addition, data needs to be processed...
The rapid growth in market demands for high-quality, state-of-the-art, and reliable communication services increases the amount of session-control signaling, which is mainly based on the Session Initiation Protocol (SIP). Many research activities dealing with the Quality of Service (QoS) have been focused on media-related service components, whereas signaling-related service components have received...
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