Fine-Grained Allocation Algorithm for Sharing Heterogeneous Resources in Data Center
نویسندگان
چکیده
منابع مشابه
Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
We present Mesos, a platform for sharing commodity clusters between multiple diverse cluster computing frameworks, such as Hadoop and MPI 1. Sharing improves cluster utilization and avoids per-framework data replication. Mesos shares resources in a fine-grained manner, allowing frameworks to achieve data locality by taking turns reading data stored on each machine. To support the sophisticated ...
متن کاملFuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications
Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model ...
متن کاملArticles 1 Fuzzy Allocation of Fine - Grained Compute Resources for Grid Data Streaming Applications
Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible. Automatic control technology is a feasible solution, but the plant model ...
متن کاملFine-Grained Data Sharing Supporting Attribute Extension in Cloud Computing
Attribute-based encryption (ABE) can be used for implementing fine-grained data sharing in cloud computing. However, most of the existing ABE schemes cannot realize attribute extension and provable security simultaneously. In this paper, we propose a fine-grained attribute-based data sharing system based on a hybrid encryption mechanism. A rigorous security proof indicates that the proposed sch...
متن کاملAdaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments
Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
سال: 2020
ISSN: 1000-2758,2609-7125
DOI: 10.1051/jnwpu/20203830589