By Thepparit Banditwattanawong (auth.), Ruixuan Li, Jiannong Cao, Julien Bourgeois (eds.)
This booklet constitutes the refereed complaints of the seventh foreign convention on Grid and Pervasive Computing, GPC 2012, held in Hong Kong, China, in could 2012. The nine revised complete papers and 19 brief papers have been conscientiously revised and chosen from fifty five submissions. they're geared up in topical sections on cloud computing, grid and repair computing, eco-friendly computing, cellular and pervasive computing, scheduling and function, and belief and safety. additionally integrated are four papers offered on the 2012 overseas Workshop on cellular Cloud and Ubiquitous Computing (Mobi-Cloud 2012) held together with GPC 2012.
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Extra info for Advances in Grid and Pervasive Computing: 7th International Conference, GPC 2012, Hong Kong, China, May 11-13, 2012. Proceedings
These steps are repeated until requests exist. Hence, every request for the critical section is eventually granted. 4 Evaluation In this section, we compare the theoretical results and simulation results with varied number of nodes. We present detailed simulation results for the gossip-based mutual exclusion algorithm using the PeerSim simulator . Afterwards, we experimentally analyze the performance results for the consecutive requests with dynamic membership behavior by adding or removing some number of nodes during gossip cycles.
In: USENIX 3rd Workshop on IO Virtualization (June 2011) 8. : Storage performance virtualilzation via throughput and latency control. ACM Transactions on Storage, TOS (August 2006) 9. : Pesto: online storage performance management in virtualized datacenters. In: SOCC 2011 (2011) 10. : Dynamic resource allocation for spot markets in clouds. com 2 Abstract. Mutual exclusion is a salient feature in distributed computing systems whereby concurrent access of processors to a shared resource is granted in a mutually exclusive manner.
Theorem 2. The gossip-based mutual exclusion algorithm is fair. Proof. The proof is by contradiction. Suppose that Pi’s request has a smaller timestamp value than that of Pj’s request and Pj is able to execute the critical section before Pi. Formally, ∀i,j ∃ Pi,Pj,tu,tv,tw,tx [req_cs(Pi, tu) ^ req_cs(Pj, tv) ^ tu < tv ⇒ cs(Pi, tw) ^ cs(Pj, tx) ^ tw > tx] Suppose that Pj’s ERT is full with its own request before Pi executes the critical section after tv and before tw. Formally, ∀i,j ∃ tv, tw, tx [R2(i, tx) ^ R1(j, tx) ^ (tv < tx < tw)] where R2(i, tx) is a relation that indicates not all requester element values of extant request tuple (ERT) for Pi are i at time tx.
Advances in Grid and Pervasive Computing: 7th International Conference, GPC 2012, Hong Kong, China, May 11-13, 2012. Proceedings by Thepparit Banditwattanawong (auth.), Ruixuan Li, Jiannong Cao, Julien Bourgeois (eds.)