Running MapReduce in a shared cluster has become a recent trend to process large-scale data analytical applications while improving the cluster utilization. However, the network sharing among various applications can ...
详细信息
Moldable jobs, which allow the number of allocated processors to be adjusted before running in clusters, have attracted increasing concern in parallel job scheduling research. Compared with traditional rigid jobs wher...
详细信息
Non-uniform memory access (NUMA) is one of the main architectures of today’s high-performance server. The key feature of NUMA is the non-uniformity of access latency. Access from a processor to attached memory is fas...
详细信息
Any mistaken maintenance for the complicated and distributed grid can bring unpredictable disaster. Here we focus on the system availability issues caused by service dependencies during the maintenance in grid. A nove...
详细信息
Silicosis remains one of the most harmful occupational respiratory diseases. It threatens the workers exposed to dust environment. Chest radiograph is the main available image source for silicosis diagnosis according ...
详细信息
Failure occurrence in large-scale systems is inevitable, which makes the resilience a key challenge for modern systems. Checkpoints with rollback recovery is a well-known approach to provide fault tolerance in distrib...
详细信息
作者:
Chen, HanhuaZhang, FanJin, HaiCluster and Grid Computing Lab
Services Computing Technology and System Lab Big Data Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
Real-world stream data with skewed distribution raises unique challenges to distributed stream processing systems. Existing stream workload partitioning schemes usually use a 'one size fits all' design, which ...
详细信息
Traditionally, complex engineering applications (CEAs), which consist of numerous components (software) and require a large amount of computing resources, usu- ally run in dedicated clusters or high performance co...
详细信息
Traditionally, complex engineering applications (CEAs), which consist of numerous components (software) and require a large amount of computing resources, usu- ally run in dedicated clusters or high performance computing (HPC) centers. Nowadays, Cloud computingsystem with the ability of providing massive computing resources and cus- tomizable execution environment is becoming an attractive option for CEAs. As a new type on Cloud applications, CEA also brings the challenges of dealing with Cloud resources. In this paper, we provide a comprehensive survey of Cloud resource management research for CEAs. The survey puts forward two important questions: 1) what are the main chal- lenges for CEAs to run in Clouds? and 2) what are the prior research topics addressing these challenges? We summarize and highlight the main challenges and prior research topics. Our work can be probably helpful to those scientists and en- gineers who are interested in running CEAs in Cloud envi- ronment.
The volume of RDF data continues to grow over the past decade and many known RDF datasets have billions of triples. A grant challenge of managing this huge RDF data is how to access this big RDF data efficiently. A po...
详细信息
gridcomputing is emerging as a new format of wide area distributed computing. Because the distribution of services and resources in wide-area networks are heterogeneous, dynamic, and multi-domain, security is a criti...
详细信息
暂无评论