Electronic commerce on the Internet is evolving from simple customer-to-business interactions, like online shopping, to complex business-to-business extranet applications. These applications typically require back-off...
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Modern backup storage systems adopt deduplication to save space by eliminating data duplicates whereas impairing the storage reliability, so many deduplicated backup storage systems apply erasure coding to post-dedupl...
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ISBN:
(纸本)9781538637906
Modern backup storage systems adopt deduplication to save space by eliminating data duplicates whereas impairing the storage reliability, so many deduplicated backup storage systems apply erasure coding to post-deduplicate data for fault tolerance with the main goal of improving node repair for data loss. However, node repair may waste network bandwidth when unavailable nodes rejoin the system (e.g., power down or network outage). This paper aims for degraded read performance instead of node repair performance in erasure-coded deduplicated backup storage systems. We propose a coding scheme that operates on each object which is formed by packed deduplicated chunks (inner-object coding) rather than on multiple objects (inter-object coding), such that the storage overhead can be saved and the degraded read performance can be improved. We also leverage the rewriting algorithm to accelerate the recent backup read throughput. We build an erasure-coded deduplicated backup storage system prototype EEC-Dedup, which realizes inner-object coding scheme and the rewriting algorithm. Our experimental results based on real-world datasets show that EEC-Dedup improves the backup degraded read throughput by up to 430% in case of single node failure and saves the storage overhead by at most 28%, over the state-of-the-art.
Heat shock proteins (HSPs) belong to stress proteins. The functions of HSPs are mainly reflected in three aspects: molecular chaperones, regulation of apoptosis and immune responses. Recent studies have shown that the...
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Tensor factorization plays a fundamental role in multiple areas of AI research. Nevertheless, it encounters significant challenges related to privacy breaches and operational efficiency. In this study, we propose a no...
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As distributed systems such as automotive,medical,manufacturing automation become larger and more complex,it is difficult to test these ***,the synchronization of distributedapplications make the testing more *** the...
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ISBN:
(纸本)9781509035946
As distributed systems such as automotive,medical,manufacturing automation become larger and more complex,it is difficult to test these ***,the synchronization of distributedapplications make the testing more *** the Software-in-the-Loop(SiL) simulation,a synchronization method among clock of applications is provided for virtual hardware devices and environment.A typical synchronization technique is that a single global clock synchronizes local clocks of other sites but may make high accuracy but low performance in SiL simulation because synchronization occurs in all nodes when the global clock *** there are some issues of which node should be selected,how much time the global clock drifts when adding new sites,*** the paper,we propose a method of clock synchronization based on relative time to enhance the simulation performance.
Modern software engineering is getting increasingly complicated. Especially in the HPC field, we are dealing with cutting edge infrastructure and a novel problem with unprecedented scale. The ability to monitor and an...
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Adaptability for distributed object-oriented enterprise frameworks in multimedia technology is a critical mission for system evolution. Today, building adaptive services is a complex task due to lack of adequate frame...
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Network slicing and edge computing are key technologies to enable compute-intensive applications for vertical industries in 5G. We define cellular networks with edge computing capabilities as cellular edge computing. ...
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ISBN:
(纸本)9781450367646
Network slicing and edge computing are key technologies to enable compute-intensive applications for vertical industries in 5G. We define cellular networks with edge computing capabilities as cellular edge computing. In this paper, we study the cross-domain resource orchestration solution for dynamic network slicing in cellular edge computing. The fundamental research challenge is from the difficulty in modeling the relationship between the slice performance and resources from multiple technical domains across the network with many base stations and distributed edge servers. To address this challenge, we develop a distributed cross-domain resource orchestration (DIRECT) protocol which optimizes the cross-domain resource orchestration while providing the performance and functional isolations among network slices. The main component of DIRECT is a distributed cross-domain resource orchestration algorithm which is designed by integrating the ADMM method and a new learning-assisted optimization approach. The proposed resource orchestration algorithm efficiently orchestrates multi-domain resources without requiring the performance model of the network slices. We develop and implement the DIRECT protocol in a small-scale prototype of cellular edge computing which is designed based on OpenAirInterface LTE and CUDA GPU computing platforms. The performance of DIRECT is validated through both experiments and network simulations.
The proceedings contains 205 papers. Topics discussed include computational logic, agents, interactions, mobility and systems, applications of spatial simulation of discrete entities, bioinformatics, computational sci...
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The proceedings contains 205 papers. Topics discussed include computational logic, agents, interactions, mobility and systems, applications of spatial simulation of discrete entities, bioinformatics, computational science, computer security, coordination models, languages and applications, database and digital technologies, declarative data mining, electronic books for technical learning, evolutionary computing and optimization, information access and retrieval, inter disciplinary approaches to the design of dependable computer systems, multimedia and visualization, neuro-fuzzy applications, parallel and distributed systems and networking, programming language and object technologies, software engineering, standardization in information technology, virtual reality, digital media and computer games, web and electronic businessapplications.
When human culture advances, current problems in science and engineering become more complicated and need more computing power to tackle and analyze. A supercomputer is not the only choice for complex problems any mor...
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ISBN:
(纸本)9780769537474
When human culture advances, current problems in science and engineering become more complicated and need more computing power to tackle and analyze. A supercomputer is not the only choice for complex problems any more as a result of the speed-up of personal computers and networks. Grid technology, which connects a number of personal computers with high speed networks, can achieve the same computing power as a supercomputer does, also with a lower cost. However, grid is a heterogeneous system. Scheduling independent tasks on it is more complicated. In order to utilize the power of grid completely, we need an efficient job scheduling algorithm to assign jobs to resources in a grid. In this paper, we propose an Adaptive Scoring Job Scheduling algorithm (ASJS) for the grid environment. Compared to other methods, it can decrease the completion time of all submitted jobs, which may compose of computingintensive jobs and data-intensive jobs.
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