this book gathers 14 of the most promising papers presented at the 18th IEEE/ACIS internationalconference on Software Engineering, Artificial Intelligence, Networking and parallel/distributedcomputing (SNPD 2017), w...
ISBN:
(纸本)9783319620473
this book gathers 14 of the most promising papers presented at the 18th IEEE/ACIS internationalconference on Software Engineering, Artificial Intelligence, Networking and parallel/distributedcomputing (SNPD 2017), which was held on June 2628, 2017 in Kanazawa, Japan. the aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. the book presents research findings concerning all aspects (theory, applications and tools) of computer and information science, and discusses the practical challenges encountered along the way, as well as the solutions adopted to solve them.
the proceedings contain 75 papers. the topics discussed include: a learning automata based dynamic resource provisioning in cloud computing environments;dependability stress testing of cloud infrastructures;local tetr...
ISBN:
(纸本)9781538631515
the proceedings contain 75 papers. the topics discussed include: a learning automata based dynamic resource provisioning in cloud computing environments;dependability stress testing of cloud infrastructures;local tetra pattern texture features for environmental sound event classification;dynamically improving resiliency to timing errors for stream processing workloads;integer programming model to optimize waste management system (case study: Surakarta city Indonesia);implementing algorithmic skeletons with bulk synchronous parallel ML;cost-aware software-defined hybrid object-based storage system;feature-based adaptive block partition method for data prefetching in streamline visualization;towards supporting modeling variability in e-learning application: a case study;agent collaboration in intelligent parking lot systems: dynamic generation of commitment protocol;managing bytecode and ISA compatibility with an enhanced toolchain;optimization of LevelDB by separating key and value;handling churn in similarity based clustering overlays using weighted benefit;an intelligent network sharing system design with multipath TCP;efficient data gathering in wireless sensor networks with fixed-group method;a divide and conquer state grouping method for bitmap based transition compression;and 5G cellular : survey on some challenging techniques.
Co-authorship analysis in science and technology partnerships provides a vision of cooperation patterns between individuals and organizations and is still widely used to understand and assess scientific collaboration ...
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the proceedings contain 20 papers. the topics discussed include: HyperDrive: exploring hyperparameters with pop scheduling;sieve: actionable insights from monitored metrics in distributedsystems;Rafiki: a middleware ...
ISBN:
(纸本)9781450347204
the proceedings contain 20 papers. the topics discussed include: HyperDrive: exploring hyperparameters with pop scheduling;sieve: actionable insights from monitored metrics in distributedsystems;Rafiki: a middleware for parameter tuning of NoSQL datastores for dynamic metagenomics workloads;Rivulet: a fault-tolerant platform for smart-home applications;binary compatible graphics support in Android for running iOS apps;Sense-Aid: a framework for enabling network as a service for participatory sensing;ORCA: an ORChestration automata for configuring VNFs;improving spark application throughput via memory aware task co-location: a mixture of experts approach;Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency;data-driven serverless functions for object storage;a programming model for application-defined multipath TCP scheduling;POLM2: automatic profiling for object lifetime-aware memory management for hotspot big data applications;SPECTRE: supporting consumption policies in window-based parallel complex event processing;efficient covering for top-k filtering in content-based publish/subscribe systems;StreamApprox: approximate computing for stream analytics;X-Search: revisiting private web search using Intel SGX;rectify: black-box intrusion recovery in PaaS Clouds;scheduler activations for interference-resilient SMP virtual machine scheduling;DoubleDecker: a cooperative disk caching framework for derivative clouds;and Ginja: one-dollar cloud-based disaster recovery for databases.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved withthe conference event and publication of the proceedings record.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved withthe conference event and publication of the proceedings record.
In this paper, the correctness of the routing algorithm for the distributed key-value store based on order preserving linear hashing and Skip Graph is proved. In this system, data are divided by linear hashing and Ski...
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ISBN:
(纸本)9781509055050
In this paper, the correctness of the routing algorithm for the distributed key-value store based on order preserving linear hashing and Skip Graph is proved. In this system, data are divided by linear hashing and Skip Graph is used for overlay network. the routing table of this system is very uniform. then, short detours can exist in the route of forwarding. By using these detours, the number of hops for the query forwarding is reduced.
Coping with emergency situations requires effective and prompt decision-making under constantly changing situations. the deployment of various kinds of sensors makes it possible to acquire vast amounts of information....
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ISBN:
(纸本)9781509055050
Coping with emergency situations requires effective and prompt decision-making under constantly changing situations. the deployment of various kinds of sensors makes it possible to acquire vast amounts of information. At present, however, most information processing is not automated; therefore, the quality of decision-making depends heavily on the capacities of the decision maker. To solve this problem, we propose a system for predicting future situations through parallel simulations based on observation data. To facilitate the development of such systems, we have been developing an optimistic simulation engine (hereafter referred to as O-SE) that supports parallel simulation of many possible situations and dynamic simulation modification based on observation data acquired by sensors. the design and evaluation results of the O-SE are illustrated in this paper.
the proceedings contain 61 papers. the special focus in this conference is on Engineering Applications of Neural Networks. the topics include: Motion-specialized deep convolutional descriptor for plant water stress es...
ISBN:
(纸本)9783319651712
the proceedings contain 61 papers. the special focus in this conference is on Engineering Applications of Neural Networks. the topics include: Motion-specialized deep convolutional descriptor for plant water stress estimation;analysis of parallel process in HVAC systems using deep autoencoders;using advanced audio generating techniques to model electrical energy load;memristor based chaotic neural network with application in nonlinear cryptosystem;predicting student performance in distance higher education using active learning;heuristics-based detection to improve text/graphics segmentation in complex engineering drawings;intrinsic plagiarism detection with feature-rich imbalanced dataset learning;random resampling in the one-versus-all strategy for handling multi-class problems;a spiking one-class anomaly detection framework for cyber-security on industrial control systems;boosted residual networks;a convolutional approach to multiword expression detection based on unsupervised distributed word representations and task-driven embedding of lexical features;remarks on tea leaves aroma recognition using deep neural network;deep convolutional neural networks for fire detection in images;improving face pose estimation using long-term temporal averaging for stochastic optimization;discriminatively trained autoencoders for fast and accurate face recognition;fish classification in context of noisy images;a method for the detection of the most suitable fuzzy implication for data applications;application of asymmetric networks to movement detection and generating independent subspaces;two hidden layers are usually better than one;neural networks as a learning component for designing board games and emotion prediction of sound events based on transfer learning.
We have proposed a distributed storage system which dynamically makes storage tiers and optimizes location of data blocks autonomously. this aims to enhance the I/O performance of the storage system without remarkable...
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ISBN:
(纸本)9781509055050
We have proposed a distributed storage system which dynamically makes storage tiers and optimizes location of data blocks autonomously. this aims to enhance the I/O performance of the storage system without remarkable network overhead. Our system dynamically organizes storage tiers considering device characteristics. And the data blocks will be placed in a suitable storage tier according to their access pattern. In this paper, we propose a method to select the destination storage node for migration using an access characteristic of a data block to be migrated. this method ranks the storage nodes dynamically, and each storage node configures storage tiers autonomously. Simulation results show that our scheme can short the execution time of a program with file I/O by 49% at maximum, in comparison withthe static migration without considering the access characteristics of the migration data.
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