distributedcloud based systems are sending the traditional processing systems at the back-front because of their increasing popularity. Fault tolerance is a rapid growing challenge in the distributedcloud based syst...
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ISBN:
(纸本)9781467367479
distributedcloud based systems are sending the traditional processing systems at the back-front because of their increasing popularity. Fault tolerance is a rapid growing challenge in the distributedcloud based system. Fault tolerance is the ability of the system to perform its function even in the presence of the failures. A number of models and algorithms has been developed to make the distributedcloud based system fault tolerant. In this paper, to make the distributedcloud environment are fault-less, the fault tolerant algorithm for the replication management is developed. It is consider being very effective. The Fault Detector Replication Manager (FDRM) find the failed server in the particular distributed location and allocate replicated server to accomplish the tasks.
The scale of cloud services keeps increasing over time, significantly introducing huge challenges in system manageability and reliability. Designing coordination services in cloud is the right track to solve the above...
详细信息
ISBN:
(纸本)9781479955497
The scale of cloud services keeps increasing over time, significantly introducing huge challenges in system manageability and reliability. Designing coordination services in cloud is the right track to solve the above problems. However, existing coordination services (e.g., Chubby and ZooKeeper) only perform well in read-intensive scenario and small ensemble scales. To this end, we propose Giraffe, a scalable distributed coordination service. There are three important contributions in our design. (1) Giraffe organizes coordination servers using interior-node-disjoint trees for better scalability. (2) Giraffe employs a novel Paxos protocol for strong consistency and fault-tolerance. (3) Giraffe supports hierarchical data organization and in-memory storage for high throughput and low latency. We evaluate Giraffe on a high performance computing test-bed. The experimental results show that Giraffe gains much better write performance than ZooKeeper when server ensemble is large. Giraffe is nearly 300% faster than ZooKeeper on update operations when ensemble size is 50 servers. Experiments also show that Giraffe reacts and recovers more quickly than ZooKeeper against node failures.
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