Research papers on distributed systems

It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our e influence score. Study of systems with multiple operating levels, probabilistic thresholds and nov 14 00:00:00 est 2017 tue nov 14 00:00:00 est - and cost- efficient task scheduling across geo-distributed data nov 14 00:00:00 est 2017 tue nov 14 00:00:00 est : an integrated and balanced on-chip memory for high performance nov 14 00:00:00 est 2017 tue nov 14 00:00:00 est performance exact triangle counting on nov 10 00:00:00 est 2017 fri nov 10 00:00:00 est ent self-invalidation/self-downgrade for critical sections with relaxed nov 10 00:00:00 est 2017 fri nov 10 00:00:00 est all latest efficient privacy-preserving ranked keyword search mar 10 00:00:00 est 2016 thu mar 10 00:00:00 est -time gpu-based image processing for a 3-d thz sep 08 00:00:00 edt 2017 fri sep 08 00:00:00 edt 2017. Ation year: 2015, page(s):1477 - fast-paced development of power systems necessitates smart grids to facilitate real-time control and monitoring with bidirectional communication and electricity flows. Future smart grids are expected to have reliable, efficient, secured, and cost-effective power management with the implementation of distributed architecture. Iterative method for calculating robust rating ndar ation year: 2015, page(s):340 - rating systems are widely used to facilitate making decisions on the web. For fame or profit, people may try to manipulate such systems by posting unfair evaluations.

Preserving multi-keyword ranked search over encrypted cloud ation year: 2014, page(s):222 - the advent of cloud computing, data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. Scalable distributed erlang for scalability and ation year: 2017, page(s):2244 - scale servers with hundreds of hosts and tens of thousands of cores are becoming common. To exploit these platforms software must be both scalable and reliable, and distributed actor languages like erlang are a proven technology in this area. While distributed erlang conceptually supports the engineering of large scale reliable systems, in practice it has some scalability limits that force d... Based indoor ation year: 2013, page(s):1300 - positioning systems have received increasing attention for supporting location-based services in indoor environments. Wireless indoor localization without site ation year: 2013, page(s):839 - localization is of great importance for a range of pervasive applications, attracting many research efforts in the past two decades.

Ation year: 2017, page(s):3007 - cost of data movement has always been an important concern in high performance computing (hpc) systems. Virtual machine placement and routing in ation year: 2017, page(s):2965 - current cloud computing systems, when leveraging virtualization technology, the customer's requested data computing or storing service is accommodated by a set of communicated virtual machines (vm) in a scalable and elastic manner. Abd el ation year: 2017, page(s):1500 - -processor systems-on-chip (mpsocs) have emerged as an evolution trend to meet the growing complexity of embedded applications with increasing computation parallelism. Survey of techniques for modeling and improving reliability of computing ation year: 2016, page(s):1226 - trends of aggressive technology scaling have greatly exacerbated the occurrences and impact of faults in computing systems. Big data analytics workloads on modern ation year: 2017, page(s):1797 - data analytics workloads are very significant ones in modern data centers, and it is more and more important to characterize their representative workloads and understand their behaviors so as to improve the performance of data center computer systems. A heterogeneous differential evolution algorithm and its distributed cloud ation year: 2017, page(s):704 - ng differential evolution (de) algorithms often face two challenges.

Researchers have demonstrated that the essential issue of ddos attack and defense is resource competition between defenders and attackers. Aware geo-distributed big data analytics with predictable job completion ation year: 2017, page(s):1785 - data analytics has attracted close attention from both industry and academic because of its great benefits in cost reduction and better decision making. Execution concurrency of large-scale matrix multiplication on distributed data-parallel ation year: 2017, page(s):2539 - multiplication is a dominant but very time-consuming operation in many big data analytic applications. The performance of large-scale matrix multiplication on distributed data-parallel platforms is determined by both computation and io costs. It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our a institute of your about this e influence transactions on parallel and distributed systems (tpds) is published monthly. It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our readers.

Particular areas of interest include, but are not limited to:Parallel and distributed algorithms, focusing on topics such as: models of computation; numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load ations of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical el and distributed architectures, including architectures for instruction-level and thread-level parallelism; design, analysis, implementation, fault resilience and performance measurements of multiple-processor systems; multicore processors, heterogeneous many-core systems; petascale and exascale systems designs; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel i/o and storage systems; architecture of the memory hierarchy; power-efficient and green computing architectures; dependable architectures; and performance modeling and el and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, internet computing and web services, resource management including green computing, middleware for grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and ation details: ieee transactions on parallel and distributed computer ication, networking & ing & transactions computer alamitos, ca  90720-1314  90720-1314  ive director of high performance computing school of computational science and a institute of a, ga 30332 author digital onal open access publishing a institute of your username/ purchased ications sion and & canada: +1 800 678 ide: +1 732 981 crimination y & opting out of cookies. 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Floating backbone for internet over the jan 20 00:00:00 est 2009 tue jan 20 00:00:00 est buted computing education, part 5: coming to terms with intellectual property eth vander jan 20 00:00:00 est 2009 tue jan 20 00:00:00 est sign-on and social jan 20 00:00:00 est 2009 tue jan 20 00:00:00 est buted computing education, part 4: training eth vander jan 19 00:00:00 est 2009 mon jan 19 00:00:00 est wi-fi technology racing past standards jan 19 00:00:00 est 2009 mon jan 19 00:00:00 est all latest curriculum : how hackers learn nov 19 00:00:00 est 2007 mon nov 19 00:00:00 est ware: middleware challenges and approaches for wireless sensor apr 18 00:00:00 edt 2006 tue apr 18 00:00:00 edt buted systems: an algorithmic jan 19 00:00:00 est 2009 mon jan 19 00:00:00 est : an optimized distributed association rule mining jun 28 00:00:00 edt 2004 mon jun 28 00:00:00 edt mming concurrent and distributed algorithms in jan 10 00:00:00 est 2005 mon jan 10 00:00:00 est all popular sion your about this transactions on parallel and distributed transactions on automatic transactions on wireless in with personal account required for curriculum : how hackers learn ation year: 2007, page(s):This two-part article discusses the factors distinguishing the hacker culture from the it industry and traditional academia, using networking examples. This survey discusses representative wsn middleware, presenting the state of the buted systems: an algorithmic ation year: 2008, page(s):Distributed systems: an algorithmic approach is an important addition to the distributed computing literature.

The book offers a broad overview of important distributed computing topics, and, where relevant, a touch of networking topics as : an optimized distributed association rule mining ation year: ation rule mining is an active data mining research area. In contrast to previous arm algorithms, we have developed a distributed algorithm, called optimized distributed association mining, for geographically distributed data sets. Concurrent and distributed algorithms in ation year: 2004, page(s):A review of concurrent and distributed computing in java by vijay k. 2004 standard for wirelessmetropolitan area networks is bound to make life easier for both existingproviders of fixed wireless broadband service and those who’ve been waitingfor a lower-cost way to enter the ion: integrating parallel and distributed computing in computer science ation year: 2006, page(s):Computer science curricula must represent today’s computing reality by focusing on parallel and distributed computing (rather than single-processor computing). Educators should incorporate elements of parallel and distributed computing into their courses from the beginning to help students consider what multiprocessor machines and internet resources they can use to solve computational problem... Both the industry and academic research communities are working to resolve numerous issues, ranging from low-power hardware design, to ...

Couto antunes da ation year: 2006, page(s):Mobile computing environments are characterized by heterogeneity - systems consisting of different device types, operating systems, network interfaces, and communication protocols. Here are some of the issues being neering j2ee servers for automated management in distributed ation year: 2007, page(s):Reengineering a legacy j2ee application server makes it easier to deploy and reconfigure, especially in distributed environments. Java 2 enterprise edition application servers are complex software systems, usually implemented as assemblies of wrapped legacy parts, with each part providing a particular service. Event-based systems: an emerging ation year: 2007, page(s):Events and messaging have been in use in industry for years. Event-based techniques have established themselves as an efficient way to structure such systems and handle challenging interaction patterns between components. Computing systems programming: a graduate distributed computing ation year: 2007, page(s):Distributed wisdom: designing a replication service for large peer-to-peer data grids.

Distributed systems and social ation year: 2004, page(s):Distributed applications are increasingly going global and crossing organization boundaries. This change raises serious questions about how to manage the responsibilities of individual components and the organizations that own them—something that might make work on viewing distributed systems in terms of human-like social structures increasingly r and grid computing: a graduate distributed-computing ation year: 2007, page(s):This article presents an overview of a cluster and grid computing course offered as part of the master of engineering in distributed computing program at the university of melbourne. It describes the operation of the course and its evolution to fulfil the demand for professionals in an emerging field of distributed buted computing education, part 2: international summer eth vander ation year: 2008, page(s):Book review: e-learning with intelligent agents [review of "designing distributed learning environments with intelligent software agents" (lin, f. Year: 2008, page(s):A review of designing distributed learning environments with intelligent software agents, fuhua oscar lin, parallel: teaching parallel programming ation year: 2008, page(s):Parallel computing is rapidly entering mainstream computing, and multicore processors can now be found in the heart of supercomputers, desktop computers, and laptops. Computing education, part 4: training eth vander ation year: 2008, page(s):In the first article of this series, we identified the need for teaching environments that provide infrastructure to support education and training in distributed computing. We tested the technique in two real-life data-intensive applications: data mining and high-performance ve resource management in middleware: a ation year: ve agents and multiagent ation year: information systems and recent applications (grid computing, web services, and so on) are often distributed, large-scale, open, heterogeneous, and characterized by a dynamic environment.

To model these complex systems, researchers have spent much effort during the last few years on multiagent systems. The aim is to model complex distributed systems as a set of (possibly organized) software age... Multimedia storage systems store and retrieve data from storage devices and manage related issues including data placement, scheduling, file manag... For distributed video ation year: 2008, page(s):Graduates of computer science (cs) and software engineering (se) programs are typically employed to develop industry-strength software. These three programs have different emphases: development of new algorithms versus development of large, complex software systems versus deve... Three guests share their views: rich friedrich, director of the enterprise systems and service lab in hp labs; dave cohen, chief technology architect of merrill lynch; and alex dreiling, research program manager at sap labs in ng condor grid computing to beginning programming ation year: 2007, page(s):Grid computing is taught at the university of arkansas, focusing on the development of grid services, the globus toolkit, and higher-level grid components.

The university of melbourne's master of engineering in distributed computing program offers a related course, sensor networks and applications. Ation year: 2007, page(s):An extension to a seamless, model-based development approach provides an architecture for debugging models that execute on target systems or in dedicated rapid-prototyping environments. During development, the ever-increasing design complexity of embedded systems frequently comes into conflict with cost, time-to-market, and quality. Characters ds online provides constantly updated, expert-moderated material in such areas as cluster computing, grid computing, security, and your about this to promote awareness of developments, trends, activities, and editorial coverage in the distributed systems field. The site also lists calls for papers, and an events database that is searchable by month or type of event, such as distributed systems computer ing & dge  cb2 3qg  cb2 3qg  united @ss development ising coordinator.