Patriarchy and Inequality in Bharti Kirchner’s Sharmila’s Book and Pastries: A Novel of Desserts and Discoveries

Literature produced by men was a prejudiced one and focused mainly on the might of men and feebleness of female members. This was resisted by women writers and they started shattering the prejudiced views of men and gave a proper solution to it. Moreover, they violated the sanctities of women as mere service renders and broke the stereotyped images of women as the classical Sita or Kannagi who were projected as submissive partners having no identity of their own. It is only through the writings of women writers, the real identity of the women was recognized and they became equal partners at home and in the society. This awakening was highly instrumental in turning the dark pages of the history of literature and spread brightness and happiness everywhere. At present, gender inequality has gained global attraction and this has resulted in the production of vast literature.

On the Asymptotic Insensitivity of the Supermarket Model in Processor Sharing Systems

The supermarket model is a popular load balancing model where each incoming job is assigned to a server with the least number of jobs among d randomly selected servers. Several authors have shown that the large scale limit in case of processor sharing servers has a unique insensitive fixed point, which naturally leads to the belief that the queue length distribution in such a system is insensitive to the job size distribution as the number of servers tends to infinity. Simulation results that support this belief have also been reported. However, global attraction of the unique fixed point of the large scale limit was not proven except for exponential job sizes, which is needed to formally prove asymptotic insensitivity. The difficulty lies in the fact that with processor sharing servers, the limiting system is in general not monotone. In this paper we focus on the class of hyperexponential distributions of order 2 and demonstrate that for this class of distributions global attraction of the unique fixed point can still be established using monotonicity by picking a suitable state space and partial order. This allows us to formally show that we have asymptotic insensitivity within this class of job size distributions. We further demonstrate that our result can be leveraged to prove asymptotic insensitivity within this class of distributions for other load balancing systems.