Efficient Memory Management Techniques In Cloud Computing
July 5, 2013
Grazed from CloudTweaks. Author: Salman Ul Haq.
Efficient Memory management is one of the hot topics these days in Cloud because of the augmenting need of integrated data handling and exigency of optimized memory management algorithms. The trending Application Service Provider (ASP) and Database-as-a-Service (DaaS) paradigms are in need of smart memory management protocols to be integrated in Cloud in order to get rid of the latency and load balancing issues.
On demand resource allocation is the key in optimizing the data efficiency of the Cloud. There is a huge drainage of resources across the Cloud platform if the resources are allocated and left idle. Continuous checks and monitoring is necessary to get hold of the idle resources. The best example in this domain is the Amazon’s Elastic Compute Cloud (EC2) which is one of the befitting examples of the practical implementations of the Cloud. EC2 Cloud only allocates the resources to the virtual or real entities on demand…
The Cloud computer architecture asks for a clustered structure of the memory resources in the form of virtual entities. Gone are the days when memory management was done using the static methods. As Cloud environment is dynamic and volatile, there is a strong need to inculcate the dynamic memory allocation trends in the Cloud based systems. One thing that must be ensured is the avoidance of the “memory over commitment”. The kick start approach must be to restrain the memory allocation to the minimum level to avoid the drainage of resources…
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