Speaker
Prof.
Alexander Bogdanov
(St.Petersburg State University)
Description
Cloud Computing stands out from any other distributed computing paradigm by offering services on-demand basis which are not limited to any geographical restrictions. Consequently this has revolutionized the computing by providing services to wide scope of customers starting from casual users to highly business oriented Industries. Despite of its capabilities, Cloud Computing still faces challenges in handling a wide array of faults, which could causes loss of credibility to Cloud Computing. Among those faults Byzantine faults offers serious challenge to fault tolerance mechanism, because it often goes undetected at the initial stages and it could easily propagate to other VMs before detection is made. Consequently some of the mission critical applications such as air traffic control, online baking etc still avoid using the use of cloud computing for such reasons. Moreover if a Byzantine faults is not detected and tolerated at initial stage then applications such as big data analytics can go completely wrong in spite of hours of computations performed by the entire cloud. Therefore in the previous work a fool-proof Byzantine fault detection has been proposed, as a continuation this work designs a scheduling algorithm (WSSS) and checkpoint optimization algorithm (TCC) to tolerate and eliminate the Byzantine faults before it makes any impact. The WSSS algorithm keeps track of server performance which is part of Virtual Clusters to help allocate best performing server to mission critical application. WSSS therefore ranks the servers based on a counter which monitors every Virtual Nodes (VN) for time and performance failures. The TCC algorithm works to generalize the possible Byzantine error prone region through monitoring delay variation to start new VNs with previous checkpointing. Moreover it can stretch the state interval for performing and error free VNs in an effect to minimize the space, time and cost overheads caused by checkpointing. The analysis is performed with plotting state transition and CloudSim based simulation. The result shows TCC reduces fault tolerance overhead exponentially and the WSSS allots virtual resources effectively.
Primary author
Prof.
Alexander Bogdanov
(St.Petersburg State University)
Co-authors
Prof.
Alexander Degtyarev
(Professor)
Ms
MAGDALYNE KAMANDE
(St Peterburg State Electrotechnical University)
Oleg Iakushkin
(Saint-Petersburg State University)
Dr
Vladimir Korkhov
(St. Petersburg State University)
