Effects of Hardware Problems in Cloud based Systems
Hardware has a key and exigent role in the modern Cloud architectures. No matter how optimized and state of the software we produce if the compatible and transcendent hardware is not deployed, the software will be of no use because of compatibility issues. Cloud computing asks for a colossal and efficient data centre oriented hardware structure which must be fast, responsive and compatible with SLA based applications. Failing to sub serve the software requirements will result in serious QoS issues resulting in depletion of profitability for the Cloud service providers.
Enterprise level Cloud requires complex networked architecture of hardware consisting of a web of switches, routers and access points. The primary equation to solve is the disk and memory module management. Performance requirements of an enterprise Cloud requires regular monitoring of annual failure rate because of the elevating crashes of hardware memory devices. Most of the issues include trouble tickets, lack of trust and latency problems. Zero optimization in database queries may result in an increase of single point of failures in Cloud platforms which may be lethal for the business. Research shows that 70% of the hardware failures occur because of hard disk problems, 6% of the crashes are because of anonymity between the RAID levels. Operational expenditure (OPEX) will eventually be incremented manifold if the Cloud software, SLA and IaaS are non-compliant with hardware beneath it. There will be issues in availability and latency which are already a challenge for the Cloud.
Hard disk failures take a lot of time to track and fix because of low level complexities involved. The recommended practice is to deploy different RAID levels in the memory architecture. RAID levels are enriched with the decision tree using CHAID (CHi-squared Automatic Interaction Detector) techniques that are responsible for automatic detection of possible errors; Bottlenecks may be avoided by pre event alerts so that the service manager modules may take charge of the communication channel. “Correctable errors” per DIMM often result in loss of memory module since they typically cannot be fixed. Memory management techniques with efficient hardware devices must be deployed keeping in view the database architecture. Transactional management systems with optimized support for extended memory devices are a must for the enterprise level Cloud infrastructures. Migration to Cloud must not be initiated without prior study of the possible options in the memory management domain of an organization. The list goes on for possible problems; however many of these issues can be avoided with careful planning and execution.
By Salman UI Haq
- 15 Cloud Data Performance Monitoring Companies - June 21, 2016
- Cross-Site Scripting – Why Is It A Serious Security Threat For Big Data Applications? - June 21, 2016
- What’s Ahead For Predictive Analytics And Why It Matters For Businesses - June 17, 2016
- Do Not Rely On Passwords To Protect Your Online Information - June 15, 2016
- Despite Record Breaches, Secure Third Party Access Still Not An IT Priority - June 14, 2016